2024-03-29T13:03:56Z
https://zenodo.org/oai2d
oai:zenodo.org:3518061
2020-09-08T07:19:08Z
openaire_data
user-copernicus-land-cover
Marcel Buchhorn
Bruno Smets
Luc Bertels
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Martin Herold
Steffen Fritz
2019-12-31
<p><strong><em>This demo dataset over Africa is deprecated. Please see <a href="https://doi.org/10.5281/zenodo.3518025">this global dataset</a> instead.</em></strong></p>
<p>Demonstration land cover maps over Africa at 100m resolution for epoch year 2016, from the global component of the Copernicus Land Service and derived from PROBA-V satellite observations.</p>
<p>The maps include the main discrete classification (23 classes aligned with UN-FAO's LCCS), a set of cover fractions (%) for the 10 main classes and additional quality layers (e.g. density of input data).</p>
<p>For the consolidated epoch 2016, the classifier and regression models of base year 2015 are used, and the time window of the classified metrics covers one full year prior (2015) and pastor (2017) data. The layers with the probability of the discrete classification and the standard deviation of the cover fractions are only provided for the base year (epoch 2015). The Change Consistency Layer that checks consistency between classifier and break detection, is only available for the most recent (near-real time) year (epoch 2018).</p>
<p> </p>
<p><a href="https://africa.lcviewer.vito.be/2016">View the maps and area statistics</a></p>
<p><a href="https://land.copernicus.eu/global/documents/lcc100/all/pum">Product User Manual</a></p>
<p><a href="https://land.copernicus.eu/global/products/lc">More land cover change product information and documentation</a></p>
<p> </p>
https://doi.org/10.5281/zenodo.3518061
oai:zenodo.org:3518061
eng
Zenodo
https://doi.org/10.5281/zenodo.3518025
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.3518060
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: epoch 2016: Africa demo (deprecated)
info:eu-repo/semantics/other
oai:zenodo.org:4623700
2021-04-16T11:11:52Z
openaire_data
user-copernicus-land-cover
Szantoi, Zoltan
Brink, Andreas
Lupi, Andrea
2021-03-19
<p>The Salonga land cover and change dataset covers an area of 66 625km<sup>2</sup> and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover and change maps were derived (LC: 2016, LCC:2019). The maps were fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 3069 verified land cover points based on the 32 modular level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, <a href="https://essd.copernicus.org/preprints/essd-2021-98/">Earth System Science Data</a>).</p>
<p> </p>
<p>Related dataset: <a href="https://doi.pangaea.de/10.1594/PANGAEA.920845">https://doi.pangaea.de/10.1594/PANGAEA.920845</a></p>
<p>Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br>
Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br>
Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br>
Land cover/change dataset attributes:<br>
[map_codeA] - dichotomous level,<br>
[map_code} - modular level,<br>
[class_name] - corresponding modular class name.<br>
Validation dataset attributes (not all are present):<br>
[plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br>
[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br>
[plaus20XX] - corresponding class for the land cover map (i.e. 2015), modular level<br>
[plaus20XXr] - corresponding class for the land cover map (i.e. 2015), aggregated classes<br>
The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.</p>
https://doi.org/10.5281/zenodo.4623700
oai:zenodo.org:4623700
Zenodo
https://doi.pangaea.de/10.1594/PANGAEA.920845
https://zenodo.org/deposit/4621375
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.4623699
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Earth System Science Data, (2021-03-19)
Key Landscape for Conservation
Land cover
Salonga
Validation data
Salonga Key Landscape for Conservation Land Cover and Validation Datasets (2016-2019)
info:eu-repo/semantics/other
oai:zenodo.org:3628620
2020-09-08T07:19:50Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Bruno Smets
Marcel Buchhorn
Luc Bertels
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Linlin Li
Dainius Masiliunas
2019-11-10
<p><em><strong>This user manual documents a deprecated dataset. Please see the latest <a href="https://doi.org/10.5281/zenodo.3606295">manual</a> instead.</strong></em></p>
<p>This Product User Manual (PUM) provides a summary description of the annual 100m Land Cover Change <strong>demonstration </strong>products <strong>over Africa (2015-2018)</strong>, covering the retrieval methodology, the validation results as well as the products contents and format.</p>
<p>The PUM is the starting point into the product's documentation.</p>
<p>The quality and validation information for this product is more extensively covered in the related Validation Report.</p>
https://doi.org/10.5281/zenodo.3628620
oai:zenodo.org:3628620
eng
Zenodo
https://doi.org/10.5281/zenodo.3606295
https://doi.org/10.5281/zenodo.3518056
https://doi.org/10.5281/zenodo.3518061
https://doi.org/10.5281/zenodo.3518083
https://doi.org/10.5281/zenodo.3518087
https://doi.org/10.5281/zenodo.3628645
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3628619
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover Change 100m: version 2.1 Africa demo 2015-2018: Product User Manual (deprecated)
info:eu-repo/semantics/report
oai:zenodo.org:4623710
2021-04-16T11:12:22Z
openaire_data
user-copernicus-land-cover
Szantoi, Zoltan
Brink, Andreas
Lupi, Andrea
2021-03-19
<p>The Greater Virunga land cover change dataset covers an area of 39062km<sup>2</sup> and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS).<br>
High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover change map was derived (2019). The map was fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 2998 verified land cover points based on the [up to] 14 aggregated land cover change classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, <a href="https://essd.copernicus.org/preprints/essd-2021-98/">Earth System Science Data</a>/).</p>
<p>Related dataset: <a href="https://doi.pangaea.de/10.1594/PANGAEA.915849">https://doi.pangaea.de/10.1594/PANGAEA.915849</a></p>
<p>Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br>
Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br>
Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br>
Land cover/change dataset attributes:<br>
[map_codeA] - dichotomous level,<br>
[map_code} - modular level,<br>
[class_name] - corresponding modular class name.<br>
Validation dataset attributes (not all are present):<br>
[plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br>
[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br>
[plaus20XX] - corresponding class for the land cover map (i.e. 2015), modular level<br>
[plaus20XXr] - corresponding class for the land cover map (i.e. 2015), aggregated classes<br>
The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.</p>
https://doi.org/10.5281/zenodo.4623710
oai:zenodo.org:4623710
Zenodo
https://doi.pangaea.de/10.1594/PANGAEA.915849
https://zenodo.org/deposit/4621375
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.4623709
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Earth System Science Data, (2021-03-19)
Land cover change
remote sensing
Virunga
validation data
Greater Virunga Key Landscape for Conservation Land Cover Change and Validation Datasets (2019)
info:eu-repo/semantics/other
oai:zenodo.org:3518083
2020-09-08T07:19:18Z
openaire_data
user-copernicus-land-cover
Marcel Buchhorn
Bruno Smets
Luc Bertels
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Martin Herold
Steffen Fritz
2019-12-31
<p><strong><em>This demo dataset over Africa is deprecated. Please see <a href="https://doi.org/10.5281/zenodo.3518035">this global dataset</a> instead.</em></strong></p>
<p>emonstration land cover maps over Africa at 100m resolution for epoch year 2017, from the global component of the Copernicus Land Service and derived from PROBA-V satellite observations.</p>
<p>The maps include the main discrete classification (23 classes aligned with UN-FAO's LCCS), a set of cover fractions (%) for the 10 main classes and additional quality layers (e.g. density of input data).</p>
<p>For the consolidated epoch 2017, the classifier and regression models of base year 2015 are used, and the time window of the classified metrics covers one full year prior (2016) and pastor (2018) data. The layers with the probability of the discrete classification and the standard deviation of the cover fractions are only provided for the base year (epoch 2015). The Change Consistency Layer that checks consistency between classifier and break detection, is only available for the most recent (near-real time) year (epoch 2018).</p>
<p> </p>
<p><a href="https://africa.lcviewer.vito.be/2017">View the maps and area statistics</a></p>
<p><a href="https://land.copernicus.eu/global/documents/lcc100/all/pum">Product User Manual</a></p>
<p><a href="https://land.copernicus.eu/global/products/lc">More land cover change product information and documentation</a></p>
<p> </p>
https://doi.org/10.5281/zenodo.3518083
oai:zenodo.org:3518083
eng
Zenodo
https://doi.org/10.5281/zenodo.3518035
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.3518082
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: epoch 2017: Africa demo (deprecated)
info:eu-repo/semantics/other
oai:zenodo.org:3518056
2020-09-08T07:18:57Z
openaire_data
user-copernicus-land-cover
Marcel Buchhorn
Bruno Smets
Luc Bertels
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Martin Herold
Steffen Fritz
2019-12-31
<p><strong><em>This demo dataset over Africa is deprecated. Please see <a href="https://doi.org/10.5281/zenodo.3243508">this global dataset</a> instead.</em></strong></p>
<p>Demonstration land cover maps over Africa at 100m resolution for epoch year 2015, from the global component of the Copernicus Land Service and derived from PROBA-V satellite observations.</p>
<p>The maps include the main discrete classification (23 classes aligned with UN-FAO's LCCS), a set of cover fractions (%) for the 10 main classes and additional quality layers (e.g. density of input data).</p>
<p>As a base year, the classification and regression models for 2015 are saved for re-use in subsequent consolidated (with full year prior and pastor observations) and near-real time years (with full year prior and 3 months pastor data). The layers with the probability of the discrete classification and the standard deviation of the cover fractions are only provided for this base epoch. The Change Consistency Layer that checks consistency between classifier and break detection, is only available for the most recent (near-real time) epoch (2018).</p>
<p> </p>
<p><a href="https://africa.lcviewer.vito.be/2015">View the maps and area statistics</a></p>
<p><a href="https://land.copernicus.eu/global/documents/lcc100/all/pum">Product User Manual</a></p>
<p><a href="https://land.copernicus.eu/global/products/lc">More land cover change product information and documentation</a></p>
<p> </p>
https://doi.org/10.5281/zenodo.3518056
oai:zenodo.org:3518056
eng
Zenodo
https://doi.org/10.5281/zenodo.3243508
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.3518055
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: epoch 2015: Africa demo (deprecated)
info:eu-repo/semantics/other
oai:zenodo.org:4621407
2021-04-16T11:12:55Z
openaire_data
user-copernicus-land-cover
Szantoi, Zoltan
Brink, Andreas
Lupi, Andrea
2021-03-19
<p>The Madagascar land cover and change dataset covers an area of 124 012km<sup>2</sup> and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover and change maps were derived (LC: 2017, LCC: 2000). The maps were fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 3995 verified land cover points based on the [up to] 32 modular level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, <a href="https://essd.copernicus.org/preprints/essd-2021-98/">Earth System Science Data</a>/).</p>
<p> </p>
<p>Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br>
Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br>
Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br>
Land cover/change dataset attributes:<br>
[map_codeA] - dichotomous level,<br>
[map_code} - modular level,<br>
[class_name] - corresponding modular class name.<br>
Validation dataset attributes (not all are present):<br>
[plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br>
[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br>
[plaus20XX] - corresponding class for the land cover map (i.e. 2017), modular level<br>
[plaus20XXr] - corresponding class for the land cover map (i.e. 2017), aggregated classes<br>
The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.</p>
https://doi.org/10.5281/zenodo.4621407
oai:zenodo.org:4621407
Zenodo
https://zenodo.org/deposit/4621375
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.4621406
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Earth System Science Data, (2021-03-19)
Key Landscape for Conservation
Land cover
Madagascar
validation data
The Madagascar Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)
info:eu-repo/semantics/other
oai:zenodo.org:3606446
2021-04-27T19:08:31Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Marcel Buchhorn
Luc Bertels
Bruno Smets
Myroslava Lesiv
Nandin-Erdene Tsendbazar
2019-08-26
<p>This Algorithm Theoretical Basis Document (ATBD) describes in detail the methodology used to produce the first version, over Africa, of the 100m Land Cover product that was released under the global component of the Copernicus Land Monitoring Service.</p>
<p>The methodology covers the retrieval and pre-processing of Earth Observation satellite (PROBA-V) observations, the calculation of metrics, the main classification, the regression for the versatile cover fraction layers and so on.</p>
<p>Next to the detailed ATBD, a summary Product User Manual describes the product (methodology, quality, contents and format) and Validation Report(s) provide more details on the validation and quality of the product.</p>
https://doi.org/10.5281/zenodo.3606446
oai:zenodo.org:3606446
eng
Zenodo
https://doi.org/10.5281/zenodo.3243508
https://doi.org/10.5281/zenodo.3606295
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606361
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 2 Globe 2015: Algorithm Theoretical Basis Document
info:eu-repo/semantics/report
oai:zenodo.org:4326702
2021-01-30T21:40:39Z
user-remote-sensing
openaire_data
user-copernicus-land-cover
Steinbach, Stefanie
Cornish, Natalie
Franke, Jonas
Hentze, Konrad
Strauch, Adrian
Thonfeld, Frank
Zwart, Sander
Nelson, Andrew
2020-12-16
<p>Wetlands are highly productive ecosystems and provide a range of goods and services on local to global scales and have become key sites of agricultural development in sub-Saharan Africa. This is the case for East African countries such as Rwanda, where agricultural expansion into wetlands and agricultural intensification are crucial elements of the government's strategy to increase food production and decrease dependence from global food markets. However, spatially explicit information of the location and status of wetlands for informed decision making is lacking or not up to date. In the related research article, we therefore develop a framework comprising the following spatial layers: Delineation, Surface Water Occurrence (SWO), Land Use/Land Cover (LULC) classification and Wetland Use Intensity (WUI). These layers are based on satellite imagery from the European Copernicus Programme and cover the whole of Rwanda. The Delineation is derived from a static Potential Wetlands layer and Sentinel-2 imagery using object-based image analysis (OBIA). The SWO is a per-pixel count of the times a location was detected as flooded using Sentinel-1 imagery. For the LULC classification, an object-based decision tree classifier is applied to Sentinel-2 imagery in Combination with the Delineation layer and the SWO. The WUI layer is based on the Absolute Mean Spectral Dynamics indicator depicting pixel-wise changes in reflectance values in Sentinel-2 bands relevant for wetland vegetation and hydrological dynamics. All layers refer to the year 2017, except for the SWO layer, which covers surface water dynamics from 2014 to 2017. The layers can be used individually or in combination and thus adapted to the different information needs for sustainable wetland management.<br>
This dataset contains the Potential Wetlands map based on topographic indices, the Wetland Delineation derived from it, the Surface Water Occurrence layer, the Land Use/Land Cover map, and the Wetland Use Intensity layer. For appropriate map display we provide QGIS layerstyle files associated with these layers.</p>
This research was conducted within the project Copernicus-based Detection and Monitoring of tropical Wetlands (DeMo-Wetlands), which was funded by the German Federal Ministry for Economic Affairs and Energy (grant no. 50EE1537).
https://doi.org/10.5281/zenodo.4326702
oai:zenodo.org:4326702
eng
Zenodo
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/remote-sensing
https://doi.org/10.5281/zenodo.4326701
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Wetlands, (2020-12-16)
wetland
delineation
dynamics
Copernicus
Wetland delineation and characterization layers 2014-2017, Rwanda
info:eu-repo/semantics/other
oai:zenodo.org:3938974
2021-09-08T15:42:59Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Nandin-Erdene Tsendbazar
Agnieszka Tarko
Linlin Li
Martin Herold
Myroslava Lesiv
Steffen Fritz
Victor Maus
2020-09-08
<p>This Validation Report describes in detail the quality of the satellite-based 100m Land Cover product of the global component of the Copernicus Land Service.</p>
<p>It includes assessments of yearly global land cover layers (2015-2019), assessment of change as well as comparison with the previous version using an independent validation dataset.</p>
<p>The related Product User Manual is the starting point for the reader and summarizes all aspects of the product (algorithm, quality, contents, format, etc).</p>
https://doi.org/10.5281/zenodo.3938974
oai:zenodo.org:3938974
eng
Zenodo
https://doi.org/10.5281/zenodo.3939038
https://doi.org/10.5281/zenodo.3518026
https://doi.org/10.5281/zenodo.3518036
https://doi.org/10.5281/zenodo.3518038
https://doi.org/10.5281/zenodo.3939050
https://doi.org/10.5281/zenodo.3938963
https://doi.org/10.5281/zenodo.3606438
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606370
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 3 Globe 2015-2019: Validation Report
info:eu-repo/semantics/report
oai:zenodo.org:4723975
2021-09-08T15:43:01Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Nandin-Erdene Tsendbazar
Agnieszka Tarko
Linlin Li
Martin Herold
Myroslava Lesiv
Steffen Fritz
Victor Maus
2021-03-31
<p>This Validation Report describes in detail the quality of the satellite-based 100m Land Cover product of the global component of the Copernicus Land Service.</p>
<p>It includes assessments of yearly global land cover layers (2015-2019), assessment of change as well as comparison with the previous version using an independent validation dataset.</p>
<p>The related Product User Manual is the starting point for the reader and summarizes all aspects of the product (algorithm, quality, contents, format, etc).</p>
https://doi.org/10.5281/zenodo.4723975
oai:zenodo.org:4723975
eng
Zenodo
https://doi.org/10.5281/zenodo.3939038
https://doi.org/10.5281/zenodo.3518026
https://doi.org/10.5281/zenodo.3518036
https://doi.org/10.5281/zenodo.3518038
https://doi.org/10.5281/zenodo.3939050
https://doi.org/10.5281/zenodo.3938963
https://doi.org/10.5281/zenodo.3606438
https://doi.org/10.1016/j.rse.2021.112686
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606370
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 3 Globe 2015-2019: Validation Report
info:eu-repo/semantics/report
oai:zenodo.org:3606371
2021-09-08T15:42:59Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Nandin-Erdene Tsendbazar
Martin Herold
Myroslava Lesiv
Steffen Fritz
2018-03-26
<p>The Validation Report describes in detail the quality of the satellite-based 100m Land Cover product of the global component of the Copernicus Land Service. It includes assessments by inter-comparison with similar land cover datasets and by using an independent validation dataset.</p>
<p>The related Product User Manual is the starting point for the reader and summarizes all aspects of the product (algorithm, quality, contents, format, etc). The Algorithm Theoretical Basis Document describes in full detail the methodology used to retrieve the land cover maps starting from input satellite observations.</p>
<p>In May 2019, following the release of the first global 100m land cover maps, with a second version of the algorithm and improved quality, the first version maps over Africa are no longer publicly available.</p>
https://doi.org/10.5281/zenodo.3606371
oai:zenodo.org:3606371
eng
Zenodo
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606370
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 1 Africa: Validation Report
info:eu-repo/semantics/report
oai:zenodo.org:3938963
2021-04-27T19:07:49Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Marcel Buchhorn
Bruno Smets
Luc Bertels
Bert De Roo
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Linlin Li
Agnieszka Tarko
2020-09-08
<p>This Product User Manual (PUM) provides a summary description of the 100m Land Cover products, covering the retrieval methodology, the validation results as well as the product contents and format. The PUM is thus the starting point into the land cover product's documentation.</p>
<p>For more details on the methodology for calculating the land cover maps from PROBA-V satellite observations, please see the related Algorithm Theoretical Basis Document (ATBD).</p>
<p>Likewise, the quality and validation information for this product is more extensively covered in the related Validation Report.</p>
https://doi.org/10.5281/zenodo.3938963
oai:zenodo.org:3938963
eng
Zenodo
https://doi.org/10.5281/zenodo.3939038
https://doi.org/10.5281/zenodo.3518026
https://doi.org/10.5281/zenodo.3518036
https://doi.org/10.5281/zenodo.3518038
https://doi.org/10.5281/zenodo.3939050
https://doi.org/10.5281/zenodo.3938968
https://doi.org/10.5281/zenodo.3938974
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606295
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 3 Globe 2015-2019: Product User Manual
info:eu-repo/semantics/report
oai:zenodo.org:3606408
2021-04-27T19:07:48Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Marcel Buchhorn
Bruno Smets
Luc Bertels
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Linlin Li
2019-11-10
<p>This Product User Manual (PUM) provides a summary description of the 100m Land Cover products, covering the retrieval methodology, the validation results as well as the products contents and format.</p>
<p>The PUM is the starting point into the product's documentation.<br>
For more details on the methodology for calculating the land cover maps from PROBA-V satellite observations, please see the related Algorithm Theoretical Basis Document (ATBD). Likewise, the quality and validation information for this product is more extensively covered in the related Validation Report.</p>
https://doi.org/10.5281/zenodo.3606408
oai:zenodo.org:3606408
eng
Zenodo
https://doi.org/10.5281/zenodo.3243508
https://doi.org/10.5281/zenodo.3606361
https://doi.org/10.5281/zenodo.3606370
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606295
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 2 Globe 2015: Product User Manual
info:eu-repo/semantics/report
oai:zenodo.org:4621426
2021-04-16T11:07:39Z
openaire_data
user-copernicus-land-cover
Szantoi, Zoltan
Brink, Andreas
Lupi, Andrea
2021-03-19
<p>The Caribbean land cover and change dataset covers an area of 89 883km<sup>2</sup> and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover and change maps were derived (LC: 2017, LCC: 2000). The maps were fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 4029 verified land cover points based on the [up to] 32 modular level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, <a href="https://essd.copernicus.org/preprints/essd-2021-98/">Earth System Science Data</a>).</p>
<p> </p>
<p>Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br>
Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br>
Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br>
Land cover/change dataset attributes:<br>
[map_codeA] - dichotomous level,<br>
[map_code} - modular level,<br>
[class_name] - corresponding modular class name.<br>
Validation dataset attributes (not all are present):<br>
[plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br>
[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br>
[plaus20XX] - corresponding class for the land cover map (i.e. 2017), modular level<br>
[plaus20XXr] - corresponding class for the land cover map (i.e. 2017), aggregated classes<br>
The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.</p>
https://doi.org/10.5281/zenodo.4621426
oai:zenodo.org:4621426
Zenodo
https://zenodo.org/deposit/4621375
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.4621425
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Earth System Science Data, (2021-03-19)
key landscape for conservation
land cover
Caribbean
validation data
The Caribbean Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)
info:eu-repo/semantics/other
oai:zenodo.org:4621421
2021-04-16T11:08:48Z
openaire_data
user-copernicus-land-cover
Szantoi, Zoltan
Brink, Andreas
Lupi, Andrea
2021-03-19
<p>The Garamba land cover and change dataset covers an area of 265 976km<sup>2</sup> and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover and change maps were derived (LC: 2017, LCC: 2000, 2019). The maps were fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 7168 (2000-2017) and 4647 (2017-2019) verified land cover points based on the [up to] 32 modular (2000-2017) and [up to] 14 aggregated (2017-2019) level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, <a href="https://essd.copernicus.org/preprints/essd-2021-98/">Earth System Science Data</a>).</p>
<p>Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br>
Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br>
Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br>
Land cover/change dataset attributes:<br>
[map_codeA] - dichotomous level,<br>
[map_code} - modular level,<br>
[class_name] - corresponding modular class name.<br>
Validation dataset attributes (not all are present):<br>
[plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br>
[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br>
[plaus20XX] - corresponding class for the land cover map (i.e. 2017), modular level<br>
[plaus20XXr] - corresponding class for the land cover map (i.e. 2017), aggregated classes<br>
The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.</p>
https://doi.org/10.5281/zenodo.4621421
oai:zenodo.org:4621421
Zenodo
https://zenodo.org/deposit/4621375
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.4621420
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Earth System Science Data, (2021-03-19)
Land cover change
remote sensing
Garamba
validation data
Garamba Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017-2019)
info:eu-repo/semantics/other
oai:zenodo.org:3628645
2020-09-08T07:20:52Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Linlin Li
Nandin-Erdene Tsendbazar
Martin Herold
Myroslava Lesiv
2019-11-10
<p><em><strong>This validation report documents a deprecated dataset. Please see the latest <a href="https://doi.org/10.5281/zenodo.3606370">validation report</a> instead.</strong></em></p>
<p>The Validation Report describes in detail the quality of the satellite-based, annual 100m Land Cover Change <strong>demonstration</strong> products <strong>over Africa</strong> (2015-2018), produced by the global component of the Copernicus Land Service. It includes assessments by inter-comparison with similar land cover datasets, through visual inspections with higher resolution imagery and by comparison with ground truth from IIASA's Geo-WIKI crowd sourcing.</p>
<p>The related Product User Manual is the starting point for the reader and summarizes all aspects of the product (algorithm, quality, contents, format, etc).</p>
https://doi.org/10.5281/zenodo.3628645
oai:zenodo.org:3628645
eng
Zenodo
https://doi.org/10.5281/zenodo.3606370
https://doi.org/10.5281/zenodo.3518056
https://doi.org/10.5281/zenodo.3518061
https://doi.org/10.5281/zenodo.3518083
https://doi.org/10.5281/zenodo.3518087
https://doi.org/10.5281/zenodo.3628620
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3628644
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover Change 100m: version 2.1 Africa demo 2015-2018: Validation Report (deprecated)
info:eu-repo/semantics/report
oai:zenodo.org:4623554
2021-04-16T11:11:17Z
openaire_data
user-copernicus-land-cover
Szantoi, Zoltan
Brink, Andreas
Lupi, Andrea
2021-03-19
<p>The Upemba land cover change dataset covers an area of 47 318km<sup>2</sup> and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover change map was derived (year 2019). The map was fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 3228 verified land cover points based on the [up to] 14 aggregated land cover change classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, <a href="https://essd.copernicus.org/preprints/essd-2021-98/">Earth System Science Data</a>).</p>
<p> </p>
<p>Related dataset: <a href="https://doi.pangaea.de/10.1594/PANGAEA.920847">https://doi.pangaea.de/10.1594/PANGAEA.920847</a></p>
<p>Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br>
Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br>
Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br>
Land cover/change dataset attributes:<br>
[map_codeA] - dichotomous level,<br>
[map_code} - modular level,<br>
[class_name] - corresponding modular class name.<br>
Validation dataset attributes (not all are present):<br>
[plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br>
[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br>
[plaus20XX] - corresponding class for the land cover map (i.e. 2015), modular level<br>
[plaus20XXr] - corresponding class for the land cover map (i.e. 2015), aggregated classes<br>
The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.</p>
https://doi.org/10.5281/zenodo.4623554
oai:zenodo.org:4623554
Zenodo
https://zenodo.org/deposit/4621375
https://doi.pangaea.de/10.1594/PANGAEA.920847
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.4623553
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Earth System Science Data, (2021-03-19)
Land cover change
remote sensing
Upemba
validation data
Upemba Key Landscape for Conservation Land Cover Change and Validation Datasets (2019)
info:eu-repo/semantics/other
oai:zenodo.org:3518026
2020-09-09T18:06:59Z
openaire_data
user-copernicus-land-cover
Marcel Buchhorn
Bruno Smets
Luc Bertels
Bert De Roo
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Martin Herold
Steffen Fritz
2020-09-08
<p>Consolidated epoch 2016 from the Collection 3 of annual, global 100m land cover maps.</p>
<p>Other available epochs: <a href="https://doi.org/10.5281/zenodo.3939038">2015</a> <a href="https://doi.org/10.5281/zenodo.3518036">2017</a> <a href="https://doi.org/10.5281/zenodo.3518038">2018</a> <a href="https://doi.org/10.5281/zenodo.3939050">2019</a></p>
<p>Produced by the global component of the Copernicus Land Service, derived from PROBA-V satellite observations and ancillary datasets.</p>
<p>The maps include</p>
<ul>
<li>a main discrete classification with 23 classes aligned with UN-FAO's Land Cover Classification System,</li>
<li>a set of versatile cover fractions: percentage (%) of ground cover for the 10 main classes</li>
<li>a forest type layer</li>
<li>quality layers on input data density and on the confidence of the detected land cover change</li>
</ul>
<p><a href="https://land.copernicus.eu/global/lcviewer">Click here to view the maps</a></p>
<p><a href="https://land.copernicus.eu/global/lcviewer">More information about the land cover maps</a></p>
<p><a href="https://doi.org/10.5281/zenodo.3606295">Product User Manual</a></p>
https://doi.org/10.5281/zenodo.3518026
oai:zenodo.org:3518026
eng
Zenodo
https://doi.org/10.5281/zenodo.3939038
https://doi.org/10.5281/zenodo.3518036
https://doi.org/10.5281/zenodo.3518038
https://doi.org/10.5281/zenodo.3939050
https://doi.org/10.5281/zenodo.3606295
https://doi.org/10.5281/zenodo.3606361
https://doi.org/10.5281/zenodo.3606370
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.3518025
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2016: Globe
info:eu-repo/semantics/other
oai:zenodo.org:4623738
2021-04-16T11:06:31Z
openaire_data
user-copernicus-land-cover
Szantoi, Zoltan
Brink, Andreas
Lupi, Andrea
2021-03-19
<p>The Yangambi land cover change dataset covers an area of 7276km<sup>2</sup> and mapped with both dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover change map was derived (2019). The map was fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 2421 verified land cover points based on the [up to] 14 aggregated land cover change classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, <a href="https://essd.copernicus.org/preprints/essd-2021-98/">Earth System Science Data</a>).</p>
<p> </p>
<p>Related dataset: <a href="https://doi.pangaea.de/10.1594/PANGAEA.920854">https://doi.pangaea.de/10.1594/PANGAEA.920854</a></p>
<p>Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br>
Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br>
Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br>
Land cover/change dataset attributes:<br>
[map_codeA] - dichotomous level,<br>
[map_code} - modular level,<br>
[class_name] - corresponding modular class name.<br>
Validation dataset attributes (not all are present):<br>
[plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br>
[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br>
[plaus20XX] - corresponding class for the land cover map (i.e. 2015), modular level<br>
[plaus20XXr] - corresponding class for the land cover map (i.e. 2015), aggregated classes<br>
The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.</p>
https://doi.org/10.5281/zenodo.4623738
oai:zenodo.org:4623738
Zenodo
https://doi.pangaea.de/10.1594/PANGAEA.920854
https://zenodo.org/deposit/4621375
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.4623737
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Earth System Science Data, (2021-03-19)
Key Landscape for Conservation
Land cover
Yangambi
validation data
Yangambi Key Landscape for Conservation Land Cover Change and Validation Datasets (2019)
info:eu-repo/semantics/other
oai:zenodo.org:5848610
2022-01-14T13:48:51Z
openaire_data
user-copernicus-land-cover
Marcel Buchhorn
2022-01-14
<p><strong>A map of 73 global biome clusters, geographic areas that were grouped to optimize the global 100m land cover processing.</strong></p>
<p>In order to group Earth Observation data for faster processing or adaptation of algorithms to specific regions, the 100m global land cover (CGLS-LC100) algorithm uses a Global Biome Cluster layer. The term <em>biome cluster</em> hereby refers to a geographic area which has similar bio-geophysical parameters and, therefore, can be grouped for processing. In other words, the biome cluster layer can be seen as an ecological regionalisation which outlines areas of similar environmental conditions, ecological processes, and biotic communities (Coops et al., 2018). There are already several global regionalisation layers existing, e.g. Ecoregions 2017 global dataset (Dinerstein et al., 2017), Geiger-Koeppen global ecozones after Olofsson update (Olofsson et al., 2012), Global ecological zones for FAO forest reporting with update 2010 (FAO, 2012). But several tests in the CGLS-LC100 workflow have shown that the existing layers did not provide the required global and continental classification accuracy. These findings go along with Coops et al. (2018) who stated that "<em>Most regionalisations are made based on subjective criteria, and cannot be readily revised, leading to outstanding questions with respect to how to optimally develop and define them."</em></p>
<p>Therefore, we decided to develop a customized ecological regionalisation layer which performs best with the given PROBA-V remote sensing data and the specifications of the CGLS-LC100 product. It groups spectral similar areas and helps to optimize the later classification/regression to regional patterns. Input into the layer creation were well-known existing datasets which were combined, re-grouped and advanced based on prior CGLS-LC100 classification results and local mapping knowledge of the workflow developer. To ensure that this layer is clearly separable from other existing regionalisations and not mistakenly interpreted as an eco-region layer, we decide to call it <em>biome clusters</em> <em>layer</em>.</p>
<p>The following steps outline the global biome clusters layer generation:</p>
<ul>
<li>Spatial union of Ecoregions 2017 dataset (Dinerstein et al., 2017), Geiger-Koeppen dataset (Olofsson et al., 2012) and Global FAO eco-regions datasets (FAO, 2012);</li>
<li>Regrouping and dissolving by using experience from first global CGLS-LC100 mapping results and subjective mapping experience of the developer;</li>
<li>Refinement of the biome clusters in the High North latitudes via incorporation of a Global tree-line layer (Alaska Geobotany Center, 2003);</li>
<li>Manual improvement of borders between biome clusters to reduce classification artefacts by using a DEM and mapping experience from previous projects and continental test runs;</li>
<li>Usage of a global land/sea mask, the Sentinel-2 tiling grid and PROBA-V imaging extent to extend the borders of the biome clusters into the sea to make sure that also small islands on the coastline are correctly processed.</li>
</ul>
<p>When developing a regionalisation, the definition of the clusters and the boundaries that delineate them in time and space is the key challenge. Overall, the map distinguishes <strong>73 global biome clusters</strong>.</p>
https://doi.org/10.5281/zenodo.5848610
oai:zenodo.org:5848610
eng
Zenodo
https://doi.org/10.5281/zenodo.3628619
https://doi.org/10.5281/zenodo.5849150
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.5848609
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Copernicus
biome cluster
region-specific models
land cover
classification
Copernicus Global Land Service: Global biome cluster layer for the 100m global land cover processing line
info:eu-repo/semantics/other
oai:zenodo.org:4621375
2021-04-16T11:13:40Z
openaire_data
user-copernicus-land-cover
Szantoi, Zoltan
Brink, Andreas
Lupi, Andrea
2021-03-19
<p>Natural resources are increasingly being threatened in the world. Threats to biodiversity and human well-being pose enormous challenges to many vulnerable areas. Effective monitoring and protection of sites with strategic conservation importance require timely monitoring with special focus on certain land cover classes which are especially vulnerable. Larger ecological zones and wildlife corridors warrant monitoring as well, as these areas have an even higher degree of pressure and habitat loss as they are not “protected” compared to Protected Areas (i.e. National Parks). To address such a need, a satellite-imagery-based monitoring workflow to cover at-risk areas was developed. During the program’s first phase, a total of 560 442 km<sup>2</sup> area in sub-Saharan Africa was covered. In this update we remapped some of the areas with the latest satellite images available, and in addition we added some new areas to be mapped. Thus, in this version we updated and mapped an additional 852 025km<sup>2</sup> in the Caribbean, African and Pacific regions with up to 32 land cover classes. Medium to high spatial resolution satellite imagery was used to generate dense time series data from which the thematic land cover maps were derived. Each map and change map were fully verified and validated by an independent team to achieve our strict data quality requirements. Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, <a href="https://essd.copernicus.org/preprints/essd-2021-98/">Earth System Science Data</a>/).</p>
<p>Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br>
Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br>
Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br>
Land cover/change dataset attributes:<br>
[map_codeA] - dichotomous level,<br>
[map_code} - modular level,<br>
[class_name] - corresponding modular class name.<br>
Validation dataset attributes (not all are present):<br>
[plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br>
[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br>
[plaus20XX] - corresponding class for the land cover map (i.e. 2015), modular level<br>
[plaus20XXr] - corresponding class for the land cover map (i.e. 2015), aggregated classes<br>
The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.</p>
Individual KLC datasets can be downloaded, please see the Related/alternate identifiers section for more information.
https://doi.org/10.5281/zenodo.4621375
oai:zenodo.org:4621375
Zenodo
https://doi.pangaea.de/10.1594/PANGAEA.914261
https://essd.copernicus.org/articles/12/3001/2020/essd-12-3001-2020.html
https://doi.org/10.5281/zenodo.4621431
https://doi.org/10.5281/zenodo.4623554
https://doi.org/10.5281/zenodo.4623700
https://doi.org/10.5281/zenodo.4623710
https://doi.org/10.5281/zenodo.4621407
https://doi.org/10.5281/zenodo.4623738
https://doi.org/10.5281/zenodo.4623470
https://doi.org/10.5281/zenodo.4621426
https://doi.org/10.5281/zenodo.4621411
https://doi.org/10.5281/zenodo.4621421
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.4621374
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Earth System Science Data, (2021-03-19)
land cover change
remote sensing
African, Caribbean, and Pacific areas
validation data
Land cover and change thematic and validation datasets for selected African, Caribbean and Pacific areas
info:eu-repo/semantics/other
oai:zenodo.org:3606438
2021-09-08T15:42:59Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Nandin-Erdene Tsendbazar
Martin Herold
Myroslava Lesiv
Steffen Fritz
2019-08-29
<p>The Validation Report describes in detail the quality of the satellite-based 100m Land Cover product of the global component of the Copernicus Land Service. It includes assessments by inter-comparison with similar land cover datasets and by using an independent validation dataset.</p>
<p>The related Product User Manual is the starting point for the reader and summarizes all aspects of the product (algorithm, quality, contents, format, etc). The Algorithm Theoretical Basis Document describes in full detail the methodology used to retrieve the land cover maps starting from input satellite observations.</p>
https://doi.org/10.5281/zenodo.3606438
oai:zenodo.org:3606438
eng
Zenodo
https://doi.org/10.5281/zenodo.3243508
https://doi.org/10.5281/zenodo.3606295
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606370
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 2 Globe 2015: Validation Report
info:eu-repo/semantics/report
oai:zenodo.org:4723918
2021-09-08T15:43:00Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Nandin-Erdene Tsendbazar
Agnieszka Tarko
Linlin Li
Martin Herold
Myroslava Lesiv
Steffen Fritz
Victor Maus
2021-03-31
<p>This Validation Report describes in detail the quality of the satellite-based 100m Land Cover product of the global component of the Copernicus Land Service.</p>
<p>It includes assessments of yearly global land cover layers (2015-2019), assessment of change as well as comparison with the previous version using an independent validation dataset.</p>
<p>The related Product User Manual is the starting point for the reader and summarizes all aspects of the product (algorithm, quality, contents, format, etc).</p>
https://doi.org/10.5281/zenodo.4723918
oai:zenodo.org:4723918
eng
Zenodo
https://doi.org/10.5281/zenodo.3939038
https://doi.org/10.5281/zenodo.3518026
https://doi.org/10.5281/zenodo.3518036
https://doi.org/10.5281/zenodo.3518038
https://doi.org/10.5281/zenodo.3939050
https://doi.org/10.5281/zenodo.3938963
https://doi.org/10.5281/zenodo.3606438
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606370
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 3 Globe 2015-2019: Validation Report
info:eu-repo/semantics/report
oai:zenodo.org:4723921
2021-04-28T00:27:25Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Marcel Buchhorn
Bruno Smets
Luc Bertels
Bert De Roo
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Linlin Li
Agnieszka Tarko
2021-03-31
<p>This Product User Manual (PUM) provides a summary description of the 100m Land Cover products, covering the retrieval methodology, the validation results as well as the product contents and format. The PUM is thus the starting point into the land cover product's documentation.</p>
<p>For more details on the methodology for calculating the land cover maps from PROBA-V satellite observations, please see the related Algorithm Theoretical Basis Document (ATBD).</p>
<p>Likewise, the quality and validation information for this product is more extensively covered in the related Validation Report.</p>
https://doi.org/10.5281/zenodo.4723921
oai:zenodo.org:4723921
eng
Zenodo
https://doi.org/10.5281/zenodo.3939038
https://doi.org/10.5281/zenodo.3518026
https://doi.org/10.5281/zenodo.3518036
https://doi.org/10.5281/zenodo.3518038
https://doi.org/10.5281/zenodo.3939050
https://doi.org/10.5281/zenodo.3938968
https://doi.org/10.5281/zenodo.3938974
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606295
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 3 Globe 2015-2019: Product User Manual
info:eu-repo/semantics/report
oai:zenodo.org:3606296
2021-04-27T19:07:47Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Bruno Smets
Marcel Buchhorn
Myroslava Lesiv
Nandin-Erdene Tsendbazar
2017-09-28
<p>This Product User Manual (PUM) provides a summary description of the 100m Land Cover products, covering the retrieval methodology, the validation results as well as the products contents and format.</p>
<p>The PUM is the starting point into the product's documentation.<br>
For more details on the methodology for calculating the land cover maps from PROBA-V satellite observations, please see the related Algorithm Theoretical Basis Document (ATBD). Likewise, the quality and validation information for this product is more extensively covered in the related Validation Report.</p>
<p>In May 2019, following the release of the first global 100m land cover maps, with a second version of the algorithm and improved quality, the first version maps over Africa are no longer publicly available.</p>
https://doi.org/10.5281/zenodo.3606296
oai:zenodo.org:3606296
Zenodo
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606295
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 1 Africa: Product User Manual
info:eu-repo/semantics/report
oai:zenodo.org:4621411
2021-04-16T11:08:11Z
openaire_data
user-copernicus-land-cover
Szantoi, Zoltan
Brink, Andreas
Lupi, Andrea
2021-03-19
<p>The Niassa Selous land cover and change dataset covers an area of 139 163km<sup>2</sup> and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover and change maps were derived (LC: 2017, LCC: 2000). The maps were fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 3943 verified land cover points based on the [up to] 32 modular level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, <a href="https://essd.copernicus.org/preprints/essd-2021-98/">Earth System Science Data</a>).</p>
<p> </p>
<p>Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br>
Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br>
Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br>
Land cover/change dataset attributes:<br>
[map_codeA] - dichotomous level,<br>
[map_code} - modular level,<br>
[class_name] - corresponding modular class name.<br>
Validation dataset attributes (not all are present):<br>
[plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br>
[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br>
[plaus20XX] - corresponding class for the land cover map (i.e. 2017), modular level<br>
[plaus20XXr] - corresponding class for the land cover map (i.e. 2017), aggregated classes<br>
The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.</p>
https://doi.org/10.5281/zenodo.4621411
oai:zenodo.org:4621411
Zenodo
https://zenodo.org/deposit/4621375
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.4621410
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Earth System Science Data, (2021-03-19)
Land cover change
remote sensing
Niassa Selous
validation data
The Niassa Selous Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)
info:eu-repo/semantics/other
oai:zenodo.org:4623470
2021-04-16T11:07:08Z
openaire_data
user-copernicus-land-cover
Szantoi, Zoltan
Brink, Andreas
Lupi, Andrea
2021-03-19
<p>The Timor-Leste land cover and change dataset covers an area of 14 931km<sup>2</sup> and mapped with dichotomous (8 land cover classes)and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover and change maps were derived (LC: 2016, LCC: 2000, 2005, 2010). The maps were fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 4413 verified land cover points based on the [up to] 32 modular level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, <a href="https://essd.copernicus.org/preprints/essd-2021-98/">Earth System Science Data</a>).</p>
<p> </p>
<p>Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br>
Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br>
Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br>
Land cover/change dataset attributes:<br>
[map_codeA] - dichotomous level,<br>
[map_code} - modular level,<br>
[class_name] - corresponding modular class name.<br>
Validation dataset attributes (not all are present):<br>
[plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br>
[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br>
[plaus20XX] - corresponding class for the land cover map (i.e. 2016), modular level<br>
[plaus20XXr] - corresponding class for the land cover map (i.e. 2016), aggregated classes<br>
The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.</p>
https://doi.org/10.5281/zenodo.4623470
oai:zenodo.org:4623470
Zenodo
https://zenodo.org/deposit/4621375
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.4623469
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Earth System Science Data, (2021-03-19)
Key Landscape for Conservation
Land cover
Timor-Leste
Validation data
Timor-Leste Key Landscape for Conservation Land Cover and Validation Datasets (2000-2005-2010-2016)
info:eu-repo/semantics/other
oai:zenodo.org:4621431
2021-04-16T11:10:38Z
openaire_data
user-copernicus-land-cover
Szantoi, Zoltan
Brink, Andreas
Lupi, Andrea
2021-03-19
<p>The Wapok land cover and change dataset covers an area of 57 776km<sup>2</sup> and mapped with dichotomous (8 land cover classes) and modular (up to 32 land cover classes) levels based on FAO's Land Cover Classification System (LCCS). High-resolution optical satellite imagery were used to generate dense time-series data from which the thematic land cover and change maps were derived (LC: 2017, LCC: 2000). The maps were fully verified and validated by an independent team to achieve the Copernicus Global Land Monitoring Programme's strict data quality requirements. An independent validation dataset was also collected and it is shared here. The validation dataset contains 3522 verified land cover points based on the [up to] 32 modular level land cover classes. Furthermore, two predefined symbology (QGIS legend files) for the land cover and validation datasets based on FAO's LCCS is also shared here to ease the visualization of them (Dichotomous and Modular levels). Further details regarding the sites selection, mapping and validation procedures are described in the corresponding publication: Szantoi, Zoltan; Brink, Andreas; Lupi, Andrea (2021): An update and beyond: key landscapes for conservation land cover and change monitoring, thematic and validation datasets for the African, Caribbean and Pacific region (in review, <a href="https://essd.copernicus.org/preprints/essd-2021-98/">Earth System Science Data</a>).</p>
<p> </p>
<p>Data format: vector (shapefile, polygon - LC/LCC dataset), vector (shapefile, point - validation dataset),<br>
Geographic Coordinate System (LC/LCC dataset): World Geodetic System 1984 (EPSG:4326) and its datum (EPSG:6326),<br>
Minimum mapping unit: 3ha for land cover and 0.5ha for land cover change<br>
Land cover/change dataset attributes:<br>
[map_codeA] - dichotomous level,<br>
[map_code} - modular level,<br>
[class_name] - corresponding modular class name.<br>
Validation dataset attributes (not all are present):<br>
[plaus200X] - corresponding class for the change map (i.e. 2000), modular level<br>
[plaus200Xr] - corresponding class for the change map (i.e. 2000), aggregated classes<br>
[plaus20XX] - corresponding class for the land cover map (i.e. 2017), modular level<br>
[plaus20XXr] - corresponding class for the land cover map (i.e. 2017), aggregated classes<br>
The naming of all attributes follow the same structure in all shapefiles - see Table 2 Dichotomous and Modular thematic land cover/use classes and in the "3.5 Validation dataset production" section in the corresponding publication.</p>
https://doi.org/10.5281/zenodo.4621431
oai:zenodo.org:4621431
Zenodo
https://zenodo.org/deposit/4621375
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.4621430
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Earth System Science Data, (2021-03-19)
Key Landscape for Conservation
land cover
Wapok
validation data
Wapok Key Landscape for Conservation Land Cover and Validation Datasets (2000-2017)
info:eu-repo/semantics/other
oai:zenodo.org:3518038
2020-09-09T18:06:08Z
openaire_data
user-copernicus-land-cover
Marcel Buchhorn
Bruno Smets
Luc Bertels
Bert De Roo
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Martin Herold
Steffen Fritz
2020-09-08
<p>Consolidated epoch 2018 from the Collection 3 of annual, global 100m land cover maps.</p>
<p>Other available epochs: <a href="https://doi.org/10.5281/zenodo.3939038">2015</a> <a href="https://doi.org/10.5281/zenodo.3518026">2016</a> <a href="https://doi.org/10.5281/zenodo.3518036">2017</a> <a href="https://doi.org/10.5281/zenodo.3939050">2019</a></p>
<p>Produced by the global component of the Copernicus Land Service, derived from PROBA-V satellite observations and ancillary datasets.</p>
<p>The maps include </p>
<ul>
<li>a main discrete classification with 23 classes aligned with UN-FAO's Land Cover Classification System,</li>
<li>a set of versatile cover fractions: percentage (%) of ground cover for the 10 main classes</li>
<li>a forest type layer</li>
<li>quality layers on input data density and on the confidence of the detected land cover change</li>
</ul>
<p><a href="https://land.copernicus.eu/global/lcviewer">Click here to view the maps</a></p>
<p><a href="https://land.copernicus.eu/global/lcviewer">More information about the land cover maps</a></p>
<p><a href="https://doi.org/10.5281/zenodo.3606295">Product User Manual</a></p>
https://doi.org/10.5281/zenodo.3518038
oai:zenodo.org:3518038
eng
Zenodo
https://doi.org/10.5281/zenodo.3939038
https://doi.org/10.5281/zenodo.3518026
https://doi.org/10.5281/zenodo.3518036
https://doi.org/10.5281/zenodo.3939050
https://doi.org/10.5281/zenodo.3606295
https://doi.org/10.5281/zenodo.3606361
https://doi.org/10.5281/zenodo.3606370
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.3518037
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2018: Globe
info:eu-repo/semantics/other
oai:zenodo.org:3518036
2020-09-09T18:06:38Z
openaire_data
user-copernicus-land-cover
Marcel Buchhorn
Bruno Smets
Luc Bertels
Bert De Roo
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Martin Herold
Steffen Fritz
2020-09-08
<p>Consolidated epoch 2017 from the Collection 3 of annual, global 100m land cover maps.</p>
<p>Other available epochs: <a href="https://doi.org/10.5281/zenodo.3939038">2015</a> <a href="https://doi.org/10.5281/zenodo.3518026">2016</a> <a href="https://doi.org/10.5281/zenodo.3518038">2018</a> <a href="https://doi.org/10.5281/zenodo.3939050">2019</a></p>
<p>Produced by the global component of the Copernicus Land Service, derived from PROBA-V satellite observations and ancillary datasets.</p>
<p>The maps include</p>
<ul>
<li>a main discrete classification with 23 classes aligned with UN-FAO's Land Cover Classification System,</li>
<li>a set of versatile cover fractions: percentage (%) of ground cover for the 10 main classes</li>
<li>a forest type layer</li>
<li>quality layers on input data density and on the confidence of the detected land cover change</li>
</ul>
<p><a href="https://land.copernicus.eu/global/lcviewer">Click here to view the maps</a></p>
<p><a href="https://land.copernicus.eu/global/lcviewer">More information about the land cover maps</a></p>
<p><a href="https://doi.org/10.5281/zenodo.3606295">Product User Manual</a></p>
https://doi.org/10.5281/zenodo.3518036
oai:zenodo.org:3518036
eng
Zenodo
https://doi.org/10.5281/zenodo.3939038
https://doi.org/10.5281/zenodo.3518026
https://doi.org/10.5281/zenodo.3518038
https://doi.org/10.5281/zenodo.3939050
https://doi.org/10.5281/zenodo.3606295
https://doi.org/10.5281/zenodo.3606361
https://doi.org/10.5281/zenodo.3606370
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.3518035
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2017: Globe
info:eu-repo/semantics/other
oai:zenodo.org:4723924
2021-04-28T00:27:25Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Marcel Buchhorn
Luc Bertels
Bruno Smets
Bert De Roo
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Dainius Masiliunas
Linlin Li
2021-03-31
<p>This Algorithm Theoretical Basis Document (ATBD) describes in detail the methodology used to produce the third collection of the 100m Land Cover product, the global annual maps for the period 2015-2019, that was released under the global component of the Copernicus Land Monitoring Service.</p>
<p>The methodology covers the retrieval and pre-processing of Earth Observation satellite (PROBA-V) observations, the calculation of metrics, the main classification, the regression for the versatile cover fraction layers, the time series break detection and so on.</p>
<p>Next to the detailed ATBD, a summary Product User Manual describes the product (methodology, quality, contents and format) and Validation Report(s) provide more details on the validation and quality of the product.</p>
https://doi.org/10.5281/zenodo.4723924
oai:zenodo.org:4723924
eng
Zenodo
https://doi.org/10.5281/zenodo.3939038
https://doi.org/10.5281/zenodo.3518026
https://doi.org/10.5281/zenodo.3518036
https://doi.org/10.5281/zenodo.3518038
https://doi.org/10.5281/zenodo.3939050
https://doi.org/10.5281/zenodo.3938963
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606361
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 3 Globe 2015-2019: Algorithm Theoretical Basis Document
info:eu-repo/semantics/report
oai:zenodo.org:3938968
2021-04-27T19:08:32Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Marcel Buchhorn
Luc Bertels
Bruno Smets
Bert De Roo
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Dainius Masiliunas
Linlin Li
2020-09-08
<p>This Algorithm Theoretical Basis Document (ATBD) describes in detail the methodology used to produce the third collection of the 100m Land Cover product, the global annual maps for the period 2015-2019, that was released under the global component of the Copernicus Land Monitoring Service.</p>
<p>The methodology covers the retrieval and pre-processing of Earth Observation satellite (PROBA-V) observations, the calculation of metrics, the main classification, the regression for the versatile cover fraction layers, the time series break detection and so on.</p>
<p>Next to the detailed ATBD, a summary Product User Manual describes the product (methodology, quality, contents and format) and Validation Report(s) provide more details on the validation and quality of the product.</p>
https://doi.org/10.5281/zenodo.3938968
oai:zenodo.org:3938968
eng
Zenodo
https://doi.org/10.5281/zenodo.3939038
https://doi.org/10.5281/zenodo.3518026
https://doi.org/10.5281/zenodo.3518036
https://doi.org/10.5281/zenodo.3518038
https://doi.org/10.5281/zenodo.3939050
https://doi.org/10.5281/zenodo.3938963
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606361
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 3 Globe 2015-2019: Algorithm Theoretical Basis Document
info:eu-repo/semantics/report
oai:zenodo.org:3606362
2021-04-27T19:08:30Z
user-copernicus-land-product-documents
user-copernicus-land-cover
Marcel Buchhorn
Luc Bertels
Bruno Smets
Myroslava Lesiv
Nandin-Erdene Tsendbazar
2017-09-25
<p>This Algorithm Theoretical Basis Document (ATBD) describes in detail the methodology used to produce the first version, over Africa, of the 100m Land Cover product that was released under the global component of the Copernicus Land Monitoring Service.</p>
<p>The methodology covers the retrieval and pre-processing of Earth Observation satellite (PROBA-V) observations, the calculation of metrics, the main classification, the regression for the versatile cover fraction layers and so on.</p>
<p>Next to the detailed ATBD, a summary Product User Manual describes the product (methodology, quality, contents and format) and Validation Report(s) provide more details on the validation and quality of the product.</p>
<p>In May 2019, following the release of the first global 100m land cover maps, with a second version of the algorithm and improved quality, the first version maps over Africa are no longer publicly available.</p>
https://doi.org/10.5281/zenodo.3606362
oai:zenodo.org:3606362
eng
Zenodo
https://zenodo.org/communities/copernicus-land-cover
https://zenodo.org/communities/copernicus-land-product-documents
https://doi.org/10.5281/zenodo.3606361
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: version 1 Africa: Algorithm Theoretical Basis Document
info:eu-repo/semantics/report
oai:zenodo.org:3939050
2020-09-09T18:05:09Z
openaire_data
user-copernicus-land-cover
Marcel Buchhorn
Bruno Smets
Luc Bertels
Bert De Roo
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Martin Herold
Steffen Fritz
2020-09-08
<p>Near real time epoch 2019 from the Collection 3 of annual, global 100m land cover maps.</p>
<p>Other available epochs: <a href="https://doi.org/10.5281/zenodo.3939038">2015</a> <a href="https://doi.org/10.5281/zenodo.3518026">2016</a> <a href="https://doi.org/10.5281/zenodo.3518036">2017</a> <a href="https://doi.org/10.5281/zenodo.3518038">2018</a></p>
<p>Produced by the global component of the Copernicus Land Service, derived from PROBA-V satellite observations and ancillary datasets.</p>
<p>The maps include</p>
<ul>
<li>a main discrete classification with 23 classes aligned with UN-FAO's Land Cover Classification System,</li>
<li>a set of versatile cover fractions: percentage (%) of ground cover for the 10 main classes</li>
<li>a forest type layer</li>
<li>quality layers on input data density and on the confidence of the detected land cover change</li>
</ul>
<p><a href="https://land.copernicus.eu/global/lcviewer">Click here to view the maps</a></p>
<p><a href="https://land.copernicus.eu/global/lcviewer">More information about the land cover maps</a></p>
<p><a href="https://doi.org/10.5281/zenodo.3606295">Product User Manual</a></p>
https://doi.org/10.5281/zenodo.3939050
oai:zenodo.org:3939050
eng
Zenodo
https://doi.org/10.5281/zenodo.3939038
https://doi.org/10.5281/zenodo.3518026
https://doi.org/10.5281/zenodo.3518036
https://doi.org/10.5281/zenodo.3518038
https://doi.org/10.5281/zenodo.3606295
https://doi.org/10.5281/zenodo.3606361
https://doi.org/10.5281/zenodo.3606370
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.3939049
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2019: Globe
info:eu-repo/semantics/other
oai:zenodo.org:3518087
2022-01-14T10:31:05Z
openaire_data
user-copernicus-land-cover
Marcel Buchhorn
Bruno Smets
Luc Bertels
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Martin Herold
Steffen Fritz
2019-12-31
<p><strong><em>This demo dataset over Africa is deprecated. Please see <a href="https://doi.org/10.5281/zenodo.3518037">this global dataset</a> instead.</em></strong></p>
<p>Demonstration land cover maps over Africa at 100m resolution for epoch year 2018, from the global component of the Copernicus Land Service and derived from PROBA-V satellite observations.</p>
<p>The maps include the main discrete classification (23 classes aligned with UN-FAO's LCCS), a set of cover fractions (%) for the 10 main classes and additional quality layers (e.g. density of input data).</p>
<p>For the near-real time (nrt) epoch 2018, the classifier and regression models of base year 2015 are used, and the time window of the classified metrics covers one full year prior (2017) and three months pastor (Jan-March 2019) data. The nrt map can then be supplied in the fourth month after the most recent completed calendar year, and is updated (consolidated) afterwards by using a full year of paster data (when epoch 2019-nrt is produced, epoch 2018 is consolidated).</p>
<p>The layers with the probability of the discrete classification and the standard deviation of the cover fractions are only provided for the base year (epoch 2015). The Change Consistency Layer that checks consistency between classifier and break detection, is only available for this near-real time epoch</p>
<p> </p>
<p><a href="https://africa.lcviewer.vito.be/2018">View the maps and area statistics</a></p>
<p><a href="https://land.copernicus.eu/global/documents/lcc100/all/pum">Product User Manual</a></p>
<p><a href="https://land.copernicus.eu/global/products/lc">More land cover change product information and documentation</a></p>
https://doi.org/10.5281/zenodo.3518087
oai:zenodo.org:3518087
eng
Zenodo
https://doi.org/10.5281/zenodo.3518037
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.3518086
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: epoch 2018: Africa demo (deprecated)
info:eu-repo/semantics/other
oai:zenodo.org:3243509
2020-09-08T10:20:08Z
openaire_data
user-copernicus-land-cover
Tim Jacobs
Marcel Buchhorn
Bruno Smets
Luc Bertels
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Martin Herold
Steffen Fritz
2019-10-01
<p>First global land cover maps from the global component of the Copernicus Land Service, derived from PROBA-V satellite observations.<br>
Collection 2 refers to the first global maps, in 100m spatial resolution grid (collection 1 was a demonstration over Africa). <br>
First epoch is year 2015. More years and maps of changes between years are expected to be added.<br>
The maps include the main discrete classification (23 classes aligned with UN-FAO's LCCS), a set of cover fractions (%) for the 10 main classes and additional quality layers.</p>
<p><a href="https://land.copernicus.eu/global/lcviewer">Click here to view the maps</a></p>
<p><a href="https://land.copernicus.eu/global/lcviewer">More information about the land cover maps</a></p>
<p><a href="https://land.copernicus.eu/global/documents/lc100/v2/pum">Product User Manual</a></p>
https://doi.org/10.5281/zenodo.3243509
oai:zenodo.org:3243509
eng
Zenodo
https://doi.org/10.5281/zenodo.3606295
https://doi.org/10.5281/zenodo.3606361
https://doi.org/10.5281/zenodo.3606370
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.3243508
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
LPS2019, ESA Living Planet Symposium 2019, Milan, Italy, 13-17 May 2019
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: collection 2: epoch 2015: Globe
info:eu-repo/semantics/other
oai:zenodo.org:3939038
2020-09-09T18:07:22Z
openaire_data
user-copernicus-land-cover
Tim Jacobs
Marcel Buchhorn
Bruno Smets
Luc Bertels
Bert De Roo
Myroslava Lesiv
Nandin-Erdene Tsendbazar
Martin Herold
Steffen Fritz
2020-09-08
<p>Base epoch 2015 from the Collection 3 of annual, global 100m land cover maps.</p>
<p>Other available epochs: <a href="https://doi.org/10.5281/zenodo.3518026">2016</a> <a href="https://doi.org/10.5281/zenodo.3518036">2017</a> <a href="https://doi.org/10.5281/zenodo.3518038">2018</a> <a href="https://doi.org/10.5281/zenodo.3939050">2019</a></p>
<p>Produced by the global component of the Copernicus Land Service, derived from PROBA-V satellite observations and ancillary datasets.</p>
<p>The maps include</p>
<ul>
<li>a main discrete classification with 23 classes aligned with UN-FAO's Land Cover Classification System,</li>
<li>a set of versatile cover fractions: percentage (%) of ground cover for the 10 main classes</li>
<li>a forest type layer</li>
<li>quality layers on input data density</li>
</ul>
<p><a href="https://land.copernicus.eu/global/lcviewer">Click here to view the maps</a></p>
<p><a href="https://land.copernicus.eu/global/lcviewer">More information about the land cover maps</a></p>
<p><a href="https://doi.org/10.5281/zenodo.3606295">Product User Manual</a></p>
https://doi.org/10.5281/zenodo.3939038
oai:zenodo.org:3939038
eng
Zenodo
https://doi.org/10.5281/zenodo.3518026
https://doi.org/10.5281/zenodo.3518036
https://doi.org/10.5281/zenodo.3518038
https://doi.org/10.5281/zenodo.3939050
https://doi.org/10.5281/zenodo.3606295
https://doi.org/10.5281/zenodo.3606361
https://doi.org/10.5281/zenodo.3606370
https://zenodo.org/communities/copernicus-land-cover
https://doi.org/10.5281/zenodo.3243508
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Land cover, land use, globe, earth, remote sensing, satellite, copernicus, PROBA-V
Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2015: Globe
info:eu-repo/semantics/other