Global Pasture Watch - Grassland reference samples based on visual interpretation of VHR imagery (2000–2022)
Authors/Creators
- 1. OpenGeoHub Foundation
- 2. Remote Sensing and GIS Laboratory (LAPIG/UFG)
- 3. World Resources Institute
Description
Reference point samples used in the production of the global maps of grassland dynamics 2000–2022 at 30 m spatial resolution in the scope of the Global Pasture Wath initiative.
The reference samples (estabilished by Feature Space Coverage Sampling-FSCS) comprises 2.3M points visually classified (using Very High Resolution imagery) in:
- Cultivated grassland,
- Natural/semi-natural grassland
- Other land cover
The file gpw_grassland_fscs.vi.vhr_tile.samples_20000101_20221231_go_epsg.4326_v1.gpkg aggregates the samples by visual interpretation units ( 1x1 km) and includes the follow collumns:
- cluster_id: Cluster id defined by k-means (FSCS),
- cluster_distance: Distance from the sample tile to center of the cluster (FSCS),
- cluster_size: Size of cluster (strata) defined by the FSCS,
- priority: Priority used by the visual interpretation,
- tile_id: Sample tile id,
- imagery: VHR reference images used by the visual interpretation,
- min_year: Minimum of year covered by the reference samples,
- max_year: Maximum of year covered by the reference samples,
- n_years: Number of years covered by the reference samples,
- n_samples_c1: Number of reference samples for "Seeded grass" (1),
- n_samples_c2: Number of reference samples for "Natural / Semi-natural grass" (2),
- n_samples_c3: Number of reference samples for "Not grass" (3),
- n_samples_all: Total number of reference samples,
The file gpw_grassland_fscs.vi.vhr_point.samples_20000101_20221231_go_epsg.4326_v1.gpkg provides individual points (with 60-m spatial support) and include the follow collumns:
- sample_id: Sample id deribed by MD5 Hash of columns x, y, imagery and year,
- x: Longitude in WGS84 (EPSG:4326),
- y: Latitude in WGS84 (EPSG:4326),
- vi_tile_id: 1-km tile id,
- imagery: VHR Reference image used by the visual interpretation (Google; Bing; Interpolated),
- ref_date: Reference date of VHR image,
- year: Reference year of VHR image,
- class: Class id (1: Cultivated grassland; 2: Natural/semi-natural grassland; 3: Other land cover) ,
- class_label: Class labels (Cultivated grassland; Natural/semi-natural grassland; Other land cover) ,
- esa_worldcover_2020: Land cover class labels extracted from ESA WorldCover 2020,
- glad_glcluc_2000: Land cover class labels extracted from UMD GLAD GLCLUC 2000,
- glad_glcluc_2005: Land cover class labels extracted from UMD GLAD GLCLUC 2005,
- glad_glcluc_2010: Land cover class labels extracted from UMD GLAD GLCLUC 2010,
- glad_glcluc_2015: Land cover class labels extracted from UMD GLAD GLCLUC 2015,
- glad_glcluc_2020: Land cover class labels extracted from UMD GLAD GLCLUC 2020,
- glc_fcs30d_2000: Land cover class labels extracted from GLC_FCS30D 2000,
- glc_fcs30d_2005: Land cover class labels extracted from GLC_FCS30D 2005,
- glc_fcs30d_2010: Land cover class labels extracted from GLC_FCS30D 2010,
- glc_fcs30d_2015: Land cover class labels extracted from GLC_FCS30D 2015,
- glc_fcs30d_2020: Land cover class labels extracted from GLC_FCS30D 2020,
- ml_cv_group: spatial block CV group (based on vi_tile_id),
- ml_type: expecify if the sample was used for (1) training or (2) calibration,
The dataset was produced through the QGIS plugin Fast Grid Inspection.
Files
Files
(1.1 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:a80897dc59da873ff82c49cfcb22ddf5
|
1.1 GB | Download |
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md5:5b83629974b1befb3eaa54ff457a1632
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2.6 MB | Download |
Additional details
Software
- Repository URL
- https://github.com/wri/global-pasture-watch