Landsat-based Spectral Indices for pan-EU 2000-2022
Description
Description
General description
Here, we present the ARCO (analysis-ready and cloud-optimized) Landsat-based Spectral Indices data cube. Available at 30m resolution from 2000 to 2022, it includes multiple spectral indices and multi-tier predictors (bimonthly, annual, and long-term) for continental Europe, including Ukraine, the UK, and Turkey (excluding Svalbar). This data cube has a broad coverage of indices, each providing unique insights into different aspects, including: surface reflectance, vegetation, water, soil and crop. All data layers are cloud-masked and then gap-filled, ready for analysis, modeling, and mapping applications. Technical details:
- Coordinate reference system: EPSG:3035
- Bounding box (Xmin, Ymin, Xmax, Ymax): (900,000, 899,000, 7,401,000, 5,501,000)
- Spatial resolution: 30m
- Image size: 216,700P x 153,400L
- File format: Cloud Optimized Geotiff (COG) format.
Considering the data volume, only bimonthly data layers for the years 2000 and 2022 are uploaded. However, all annual and long-term layers are available. For the full data cube, please visit this catalog. Due to Zenodo's storage limits, the data layers are stored in different buckets. Use the identifier-navigation list below to access the bucket of your interest and download the corresponding layers.
Identifier navigation list
This data cube includes 4 tiers of data, depending on the processing extend in the temporal scale:
- Tier-1: Bimonthly Landsat reflectance bands
2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov) - Tier-2: Bimonthly spectral indices
2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov) - Tier-3: Annual predictors
- Reflectance bands, NDVI and NDWI P25
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 - Reflectance bands, NDVI and NDWI P50
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 - Reflectance bands, NDVI and NDWI P75
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 - Aggregated spectral indices
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 - Cumulative spectral indices
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
- Reflectance bands, NDVI and NDWI P25
- Tier-4: Long-term predictors 2000-2022
trend P25 P50 P75
Name convention
To ensure consistency and ease of use across the data layers, we follow the standard Ai4SoilHealth and Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describe important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are:
- generic variable name: ndti.min.slopes = the long term slope of minNDTI
- variable procedure combination: glad.landsat.ard2.seasconv.yearly.min.theilslopes - theil slopes calculated from yearly minimum values of NDTI
- Position in the probability distribution/variable type: m = mean | sd = standard deviation | n = number of observations | qa = quality assessment
- Spatial support: 30m
- Depth reference: s = surface
- Time reference begin time: 20000101 = 2000-01-01
- Time reference end time: 20221231 = 2022-12-31
- Bounding box: eu = europe (without Svalbar)
- EPSG code: epsg.3035
- Version code: v20231218 = 2023-12-18 (creation date)
Citation
Please cite this dataset using the DOI: [10.5281/zenodo.10776891], which represents all versions of this dataset. This ensures your citation remains up to date with the latest version.
Support
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a GitHub issue!
Long-term spectral indices trend
On this landing page of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube, four long-term spectral indices trend data are stored, as Zenodo doesn't allow empty buckets. Therefore, this page serves not only as the landing page for the entire dataset but also as the bucket for the long-term trend of spectral indices.
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