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Dataset name Description SDG License Updated at
HREA Catalog

Catalog of High Resolution Electricity Access data for unelectrified countries, 2013—2020

N/A No license
Nighthly nighttime lights mosaics

Nighttime lights mosaics in COG format from Colorado School of Mines

N/A Creative Commons Attribution 4.0 International
Sentinel-2 Level 2A

Global Sentinel-2 data from the Multispectral Instrument (MSI) onboard Sentinel-2

N/A proprietary
STAC for JAXA Earth database (COG)

The JAXA Earth database is public datasets created by Japan Aerospace eXploration Agency (JAXA) Earth Observation Research Center (EORC). The datasets includes JAXAs public datasets and other agencys public datasets converted to COG(Cloud Optimized datasets), and so on.

N/A No license
New Zealand Imagery

Toitū Te Whenua Land Information New Zealand makes New Zealand's publicly owned aerial and satellite imagery archive freely available to use under an open licence. This public S3 bucket has been made available to enable bulk access and cloud-based data processing. You can also access the imagery through the LINZ Data Service or LINZ Basemaps.

N/A No license
Maxar Open Data

Maxar ARD Open Data Catalog

N/A CC-BY-NC-4.0
MTBS: Monitoring Trends in Burn Severity

Monitoring Trends in Burn Severity (MTBS) is an inter-agency program whose goal is to consistently map the burn severity and extent of large fires across the United States from 1984 to the present. This includes all fires 1000 acres or greater in the Western United States and 500 acres or greater in the Eastern United States. The burn severity mosaics in this dataset consist of thematic raster images of MTBS burn severity classes for all currently completed MTBS fires for the continental United States and Alaska.

N/A proprietary
USGS 3DEP Lidar Point Source

This collection is derived from the USGS 3DEP COPC collection. It is a collection of Cloud Optimized GeoTIFFs representing the file source ID from which the point originated. Zero indicates that the point originated in the current file.

This values are based on the PointSourceId PDAL dimension and uses pdal.filters.outlier and pdal.filters.range to remove outliers and noise.

N/A proprietary
USGS 3DEP Lidar Intensity

This collection is derived from the USGS 3DEP COPC collection. It is a collection of Cloud Optimized GeoTIFFs representing the pulse return magnitude.

The values are based on the Intensity PDAL dimension and uses pdal.filters.outlier and pdal.filters.range to remove outliers and noise.

N/A proprietary
HGB: Harmonized Global Biomass for 2010

This dataset provides temporally consistent and harmonized global maps of aboveground and belowground biomass carbon density for the year 2010 at 300m resolution. The aboveground biomass map integrates land-cover-specific, remotely sensed maps of woody, grassland, cropland, and tundra biomass. Input maps were amassed from the published literature and, where necessary, updated to cover the focal extent or time period. The belowground biomass map similarly integrates matching maps derived from each aboveground biomass map and land-cover-specific empirical models. Aboveground and belowground maps were then integrated separately using ancillary maps of percent tree/land cover and a rule-based decision tree. Maps reporting the accumulated uncertainty of pixel-level estimates are also provided.

N/A proprietary
ALOS World 3D-30m

The "ALOS World 3D-30m" (AW3D30) dataset is a 30 meter resolution global digital surface model (DSM), developed by the Japan Aerospace Exploration Agency (JAXA). AWD30 was constructed from the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) on board Advanced Land Observing Satellite (ALOS), operated from 2006 to 2011.

See the Product Description for more details.

N/A proprietary
Esri 10-Meter Land Cover (10-class)

Note: A new version of this item is available for your use. This mature version of the map remains available for use in existing applications. This item will be retired in December 2024. There is 2020 data available in the newer 9-class dataset.

Global estimates of 10-class land use/land cover (LULC) for 2020, derived from ESA Sentinel-2 imagery at 10m resolution. This dataset was generated by Impact Observatory, who used billions of human-labeled pixels (curated by the National Geographic Society) to train a deep learning model for land classification. The global map was produced by applying this model to the relevant yearly Sentinel-2 scenes on the Planetary Computer.

This dataset is also available on the ArcGIS Living Atlas of the World.

N/A CC-BY-4.0
10m Annual Land Use Land Cover (9-class)

Time series of annual global maps of land use and land cover (LULC). It currently has data from 2017-2022. 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.

This dataset was generated by Impact Observatory, who used billions of human-labeled pixels (curated by the National Geographic Society) to train a deep learning model for land classification. The global map was produced by applying this model to the Sentinel-2 annual scene collections on the Planetary Computer. Each of the maps has an assessed average accuracy of over 75%.

This map uses an updated model from the 10-class model and combines Grass(formerly class 3) and Scrub (formerly class 6) into a single Rangeland class (class 11). The original Esri 2020 Land Cover collection uses 10 classes (Grass and Scrub separate) and an older version of the underlying deep learning model. The Esri 2020 Land Cover map was also produced by Impact Observatory. The map remains available for use in existing applications. New applications should use the updated version of 2020 once it is available in this collection, especially when using data from multiple years of this time series, to ensure consistent classification.

All years are available under a Creative Commons BY-4.0.

N/A CC-BY-4.0
ESA Climate Change Initiative Land Cover Maps (Cloud Optimized GeoTIFF)

The ESA Climate Change Initiative (CCI) Land Cover dataset provides consistent global annual land cover maps at 300m spatial resolution from 1992 to 2020. The land cover classes are defined using the United Nations Food and Agriculture Organization's (UN FAO) Land Cover Classification System (LCCS). In addition to the land cover maps, four quality flags are produced to document the reliability of the classification and change detection.

The data in this Collection have been converted from the original NetCDF data to a set of tiled Cloud Optimized GeoTIFFs (COGs).

N/A proprietary
Landsat Collection 2 Level-2

Landsat Collection 2 Level-2 Science Products, consisting of atmospherically corrected surface reflectance and surface temperature image data. Collection 2 Level-2 Science Products are available from August 22, 1982 to present.

This dataset represents the global archive of Level-2 data from Landsat Collection 2 acquired by the Thematic Mapper onboard Landsat 4 and 5, the Enhanced Thematic Mapper onboard Landsat 7, and the Operatational Land Imager and Thermal Infrared Sensor onboard Landsat 8 and 9. Images are stored in cloud-optimized GeoTIFF format.

N/A proprietary
ESA WorldCover

The European Space Agency (ESA) WorldCover product provides global land cover maps for the years 2020 and 2021 at 10 meter resolution based on the combination of Sentinel-1 radar data and Sentinel-2 imagery. The discrete classification maps provide 11 classes defined using the Land Cover Classification System (LCCS) developed by the United Nations (UN) Food and Agriculture Organization (FAO). The map images are stored in cloud-optimized GeoTIFF format.

The WorldCover product is developed by a consortium of European service providers and research organizations. VITO (Belgium) is the prime contractor of the WorldCover consortium together with Brockmann Consult (Germany), CS SI (France), Gamma Remote Sensing AG (Switzerland), International Institute for Applied Systems Analysis (Austria), and Wageningen University (The Netherlands).

Two versions of the WorldCover product are available:

Since the WorldCover maps for 2020 and 2021 were generated with different algorithm versions (v100 and v200, respectively), changes between the maps include both changes in real land cover and changes due to the used algorithms.

N/A CC-BY-4.0
Land Cover of Canada

Collection of Land Cover products for Canada as produced by Natural Resources Canada using Landsat satellite imagery. This collection of cartographic products offers classified Land Cover of Canada at a 30 metre scale, updated on a 5 year basis.

N/A OGL-Canada-2.0

Analytical tools

More and more geospatial analytical tools for decision making are being developed to GeoHub.