Data | GeoHub

Dataset name	Description	SDG	License	Updated at
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	17:25, 12/01/2023
Maxar Open Data	Maxar ARD Open Data Catalog	N/A	CC-BY-NC-4.0	16:12, 11/30/2023
Sentinel-2 Level 2A	Global Sentinel-2 data from the Multispectral Instrument (MSI) onboard Sentinel-2	N/A	proprietary	19:41, 10/11/2023
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	16:08, 10/11/2023
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	16:07, 10/11/2023
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	16:05, 10/11/2023
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	15:59, 10/11/2023
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	12:26, 10/11/2023
Sentinel-2 Level-2A	The Sentinel-2 program provides global imagery in thirteen spectral bands at 10m-60m resolution and a revisit time of approximately five days. This dataset represents the global Sentinel-2 archive, from 2016 to the present, processed to L2A (bottom-of-atmosphere) using Sen2Cor and converted to cloud-optimized GeoTIFF format.	N/A	proprietary	11:13, 10/11/2023
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	10:52, 10/11/2023

Satellite

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.

Maxar Open Data

Maxar ARD Open Data Catalog

Sentinel-2 Level 2A

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

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.

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.

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.

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.

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.

Sentinel-2 Level-2A

The Sentinel-2 program provides global imagery in thirteen spectral bands at 10m-60m resolution and a revisit time of approximately five days. This dataset represents the global Sentinel-2 archive, from 2016 to the present, processed to L2A (bottom-of-atmosphere) using Sen2Cor and converted to cloud-optimized GeoTIFF format.

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.