{"id":"io-lulc-annual-v02","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/io-lulc-annual-v02/items"},{"rel":"parent","type":"application/json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/"},{"rel":"root","type":"application/json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/"},{"rel":"self","type":"application/json","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/io-lulc-annual-v02"},{"rel":"related","href":"https://livingatlas.arcgis.com/landcover/"},{"rel":"license","href":"https://creativecommons.org/licenses/by/4.0/","type":"text/html","title":"CC BY 4.0"},{"rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json","title":"Queryables","href":"https://planetarycomputer.microsoft.com/api/stac/v1/collections/io-lulc-annual-v02/queryables"},{"rel":"describedby","href":"https://planetarycomputer.microsoft.com/dataset/io-lulc-annual-v02","title":"Human readable dataset overview and reference","type":"text/html"}],"title":"10m Annual Land Use Land Cover (9-class) V2","assets":{"thumbnail":{"href":"https://ai4edatasetspublicassets.blob.core.windows.net/assets/pc_thumbnails/io-lulc-annual-v02.png","title":"10m Annual Land Use Land Cover (9-class)","media_type":"image/png"},"geoparquet-items":{"href":"abfs://items/io-lulc-annual-v02.parquet","type":"application/x-parquet","roles":["stac-items"],"title":"GeoParquet STAC items","description":"Snapshot of the collection's STAC items exported to GeoParquet format.","msft:partition_info":{"is_partitioned":false},"table:storage_options":{"account_name":"pcstacitems"}}},"extent":{"spatial":{"bbox":[[-180,-90,180,90]]},"temporal":{"interval":[["2017-01-01T00:00:00Z","2024-01-01T00:00:00Z"]]}},"license":"CC-BY-4.0","keywords":["Global","Land Cover","Land Use","Sentinel"],"providers":[{"url":"https://www.esri.com/","name":"Esri","roles":["licensor"]},{"url":"https://www.impactobservatory.com/","name":"Impact Observatory","roles":["processor","producer","licensor"]},{"url":"https://planetarycomputer.microsoft.com","name":"Microsoft","roles":["host"]}],"summaries":{"raster:bands":[{"nodata":0,"spatial_resolution":10}]},"description":"Time series of annual global maps of land use and land cover (LULC). It currently has data from 2017-2023. The maps are derived from ESA Sentinel-2 imagery at 10m resolution. Each map is a composite of LULC predictions for 9 classes throughout the year in order to generate a representative snapshot of each year.\n\nThis dataset, produced by [Impact Observatory](http://impactobservatory.com/), Microsoft, and Esri, displays a global map of land use and land cover (LULC) derived from ESA Sentinel-2 imagery at 10 meter resolution for the years 2017 - 2023. Each map is a composite of LULC predictions for 9 classes throughout the year in order to generate a representative snapshot of each year. This dataset was generated by Impact Observatory, which used billions of human-labeled pixels (curated by the National Geographic Society) to train a deep learning model for land classification. Each global map was produced by applying this model to the Sentinel-2 annual scene collections from the Mircosoft Planetary Computer. Each of the maps has an assessed average accuracy of over 75%.\n\nThese maps have been improved from Impact Observatory’s [previous release](https://planetarycomputer.microsoft.com/dataset/io-lulc-9-class) and provide a relative reduction in the amount of anomalous change between classes, particularly between “Bare” and any of the vegetative classes “Trees,” “Crops,” “Flooded Vegetation,” and “Rangeland”. This updated time series of annual global maps is also re-aligned to match the ESA UTM tiling grid for Sentinel-2 imagery.\n\nAll years are available under a Creative Commons BY-4.0.","item_assets":{"data":{"type":"image/tiff; application=geotiff; profile=cloud-optimized","roles":["data"],"title":"Global land cover data","file:values":[{"values":[0],"summary":"No Data"},{"values":[1],"summary":"Water"},{"values":[2],"summary":"Trees"},{"values":[4],"summary":"Flooded vegetation"},{"values":[5],"summary":"Crops"},{"values":[7],"summary":"Built area"},{"values":[8],"summary":"Bare ground"},{"values":[9],"summary":"Snow/ice"},{"values":[10],"summary":"Clouds"},{"values":[11],"summary":"Rangeland"}]}},"msft:region":"westeurope","stac_version":"1.0.0","msft:group_id":"io-land-cover","msft:container":"io-lulc","stac_extensions":["https://stac-extensions.github.io/item-assets/v1.0.0/schema.json","https://stac-extensions.github.io/raster/v1.0.0/schema.json","https://stac-extensions.github.io/label/v1.0.0/schema.json","https://stac-extensions.github.io/file/v2.1.0/schema.json","https://stac-extensions.github.io/table/v1.2.0/schema.json"],"msft:storage_account":"ai4edataeuwest","msft:short_description":"Global land cover information with 9 classes for 2017-2023 at 10m resolution"}