Global imagery and land cover data

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information. This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a reference layer featuring map labels, boundary lines, and roads. This layer is designed to be overlaid on imagery.  Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available. OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.  Precise Tile Registration: The tile layer uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author.   Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.

Global summer (June/July/August) median 12-day interferometric coherence (COH12) in VV polarization from the Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set (GSSICB). Pixel values in source rasters are the coherence value (ranging from 0 to 1) multiplied by 100. A processing template is included with the service to provide the standard coherence values (0 to 1) along with the original source raster values. The source rasters referenced in this service are accessed from the Registry of Open Data on AWS. The source rasters are also archived by the Alaska Satellite Facility in NASA's Earthdata Cloud. More information about the dataset is available here: https://asf.alaska.edu/datasets/derived/global-seasonal-sentinel-1-interferometric-coherence-and-backscatter-dataset/ To learn more about the GSSICB image services and access web maps, refer to ASF's GSSICB StoryMap Tutorial. -------- Time Interval: SeasonalTime Extent: Jun 2020 to Aug 2020Time Standard: Coordinated Universal Time (UTC)Grid Size: 3 arcsecond pixel spacingProjection: WGS84Extent: Global Source:Alaska Satellite Facility (ASF) Data Sources: https://doi.org/10.5067/8W33RRS6S2RV Data Parameters: GSSICB_Median_12_day_VV_Coherence_Jun_Jul_Aug_Scaled: Global summer (June/July/August) median 12-day interferometric coherence (COH12) in VV polarization from the Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set. The source rasters have been scaled to an integer (values ranging from 0 to 100) by multiplying the coherence values by 100. GSSICB_Median_12_day_VV_Coherence_Jun_Jul_Aug_Unscaled: Global summer (June/July/August) median 12-day interferometric coherence (COH12) in VV polarization from the Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set. The default raster function template for this image service converts the scaled source raster values to the normal range of coherence values (0 to 1) by dividing the pixel values of the source rasters by 100. -------- For questions or issues please email: uso@asf.alaska.edu

Abstract and Limitations of Use: The Global Man-made Impervious Surface (GMIS) Dataset From Landsat consists of global estimates of fractional impervious cover derived from the Global Land Survey (GLS) Landsat dataset for the target year 2010. The GMIS dataset consists of two components: 1) global percent of impervious cover; and 2) per-pixel associated uncertainty for the global impervious cover. These layers are co-registered to the same spatial extent at a common 30m spatial resolution. The spatial extent covers the entire globe except Antarctica and some small islands. This dataset is one of the first global, 30m datasets of man-made impervious cover to be derived from the GLS data for 2010 and is a companion dataset to the Global Human Built-up And Settlement Extent (HBASE) dataset. The dataset is expected to have a rather broad spectrum of users, from those wishing to examine/study the fine details of urban land cover over the globe at full 30m resolution to global modelers trying to understand the climate/environmental impacts of man-made surfaces at continental to global scales. For example, the data are applicable to local modeling studies of urban impacts on the energy, water, and carbon cycles, as well as analyses at the individual country level.   Intended Use: To provide high spatial resolution estimates of global man-made imperviousness for the target year 2010, derived from global 30m Landsat satellite data and a companion dataset to the Global Human Built-up And Settlement Extent (HBASE) dataset. Because this is a historical dataset, this item does not follow a routine update frequency.  Variables:Human Built-up and Settlement Extents (HBASE)  Probability of HBASE Class  Legend:  Color Legend Label Description   255: NoData/Clouds/Shadow The GMIS dataset consists of two components: 1) global percent of impervious cover; and 2) per-pixel associated uncertainty for the global impervious cover.    200: Not HBASE   90 - 100   80 - 90   80 - 90   70 - 80   60 - 70   50 - 60   40 - 50   30 - 40   20 - 30   10 - 20   0 - 10 Citation: Global Man-made Impervious Surface (GMIS) Dataset From Landsat. Brown de Colstoun, E. C., C. Huang, P. Wang, J. C. Tilton, B. Tan, J. Phillips, S. Niemczura, P.-Y. Ling, and R. E. Wolfe. (2017). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4P55KKF  Publication References: Documentation for the Global Man-made Impervious Surface (GMIS) Dataset From Landsat. Center for International Earth Science Information Network - CIESIN - Columbia University. (2017). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4JD4TVQ Global Human Built-up And Settlement Extent (HBASE) Dataset From Landsat. Wang, P., C. Huang, E. C. Brown de Colstoun, J. C. Tilton, and B. Tan. (2017). NASA Socioeconomic Data and Applications Center (SEDAC). DOI: https://doi.org/10.7927/H4DN434S Contact: For inquiries about this service, please contact ciesin.info@ciesin.columbia.edu or post/view questions on the Earthdata Forum.

This layer presents an alternative view of the World Imagery map designed to be used as a neutral imagery basemap, with de-saturated colors, that is useful for overlaying other brightly styled layers.  This map is intended to support 'firefly cartography' and other cartographic designs that require a neutral background, with the spatial context and texture of imagery, to contrast with the foreground thematic layers that are designed to capture the users attention. Content meant to provide spatial context (the basemap) should recede in visual priority, helping to establish the thematic layers that they support (rather than compete with them).  There are many ways to sufficiently mute your basemap, but for satellite imagery, de-saturation is a nice option. An image that is all or mostly black and white won’t compete as much with the brightly colored thematic data that it supports.  With this map, the color of the imagery is mostly removed at the smallest global scales and then gradually re-introduced at the larger scales, where the full detail of the imagery is available.

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information. This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a detailed reference layer for the world featuring map labels. It is designed to be used with the OpenStreetMap Light Gray Canvas Base (WGS84) layer. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available. OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.  Precise Tile Registration: The tile layer uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information. This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a detailed base layer for the world featuring a dark neutral style with minimal colors. It is designed to be used with the OpenStreetMap Dark Gray Canvas Base layer.  Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available. OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information. This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a detailed base layer for the world featuring a dark neutral style with minimal colors. It is designed to be used with the OpenStreetMap Dark Gray Canvas Base layer.  Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available. OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.  Precise Tile Registration: The tile layer uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.

The delivery of all Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS science data products will cease on November 2, 2026 (2026/306). Data users are encouraged to transition to the equivalent VJ214 (primary) or VJ114 (secondary) data products. The Visible Infrared Imaging Radiometer Suite (VIIRS) Thermal Anomalies (VNP14) Version 2 product is produced in 6-minute temporal satellite increments (swaths) at 750 meter resolution from the VIIRS sensor located on the NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. This product is designed after the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire data products to promote the continuity of the Earth Observation System (EOS) mission. This data product can enable users to understand the location and intensity of fire events as well as identifying thermal anomalies. The VNP14 product includes 31 science dataset variables to analyze key factors in fire detection, including atmospheric conditions (e.g., atmospheric reflectance, solar zenith angle, brightness temperature) and fuel type for the event. The fire mask layer in the VNP14 product is the primary layer and can be used to identify fires and other thermal anomalies such as volcanoes. In addition to the fire mask, brightness temperature is provided for VIIRS channels M5, M7, M11, M13, M15, and M16. Each swath of data is approximately 3,060 kilometers along track (long) and 3,060 kilometers across track (wide). The VNP14 product is also used to generate higher-level fire data products. Use of the VNP03MODLL data product is required to apply accurate geolocation information to the VNP14 Science Datasets (SDS) / Variables. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.

Global fall (September/October/November) median 12-day interferometric coherence (COH12) in VV polarization from the Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set (GSSICB). Pixel values in source rasters are the coherence value (ranging from 0 to 1) multiplied by 100. A processing template is included with the service to provide the standard coherence values (0 to 1) along with the original source raster values. The source rasters referenced in this service are accessed from the Registry of Open Data on AWS. The source rasters are also archived by the Alaska Satellite Facility in NASA's Earthdata Cloud. More information about the dataset is available here: https://asf.alaska.edu/datasets/derived/global-seasonal-sentinel-1-interferometric-coherence-and-backscatter-dataset/ To learn more about the GSSICB image services and access web maps, refer to ASF's GSSICB StoryMap Tutorial. -------- Time Interval: SeasonalTime Extent: Sep 2020 to Nov 2020Time Standard: Coordinated Universal Time (UTC)Grid Size: 3 arcsecond pixel spacingProjection: WGS84Extent: Global Source:Alaska Satellite Facility (ASF) Data Sources: https://doi.org/10.5067/8W33RRS6S2RV Data Parameters: GSSICB_Median_12_day_VV_Coherence_Sep_Oct_Nov_Scaled: Global fall (September/October/November) median 12-day interferometric coherence (COH12) in VV polarization from the Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set. The source rasters have been scaled to an integer (values ranging from 0 to 100) by multiplying the coherence values by 100. GSSICB_Median_12_day_VV_Coherence_Sep_Oct_Nov_Unscaled: Global fall (September/October/November) median 12-day interferometric coherence (COH12) in VV polarization from the Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set. The default raster function template for this image service converts the scaled source raster values to the normal range of coherence values (0 to 1) by dividing the pixel values of the source rasters by 100. -------- For questions or issues please email: uso@asf.alaska.edu

The European Space Agency (ESA) WorldCover 10 m 2020 product provides a global land cover map for 2020 at 10 m resolution based on Sentinel-1 and Sentinel-2 data, with 11 land cover classes.

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information. This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered in a dark neutral style with minimal colors.  It is designed for use with OpenStreetMap Dark Gray Canvas Reference. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available. OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.

The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameters (VJ243MA1) Version 2 product provides BRDF/Albedo model parameters at 1 kilometer (km) resolution. The VJ243MA1 product is produced daily using 16-day VIIRS data and is weighted temporally to the 9th day, which is reflected in the file name. The VJ243 data products are designed to promote the continuity of NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VJ243 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VJ243MA1 to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VJ243MA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VJ423MA3). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) variables can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD). The VJ243MA1 data product provides a total of 24 SDS variables including: mandatory quality bands and three multi-dimensional model parameter bands representing fiso, fvol, and fgeo for VIIRS moderate resolution bands M1-M5, M7-M8, and M10-M11. A low-resolution browse is also provided showing BRDF/Albedo parameters for bands M5, M7, and M5 as an RGB image in JPEG format. Known Issues: * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.

The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (VJ243MA3) Version 2 product provides albedo values at 1 kilometer (km) resolution for the bihemispherical reflectance white-sky albedo (WSA) and directional hemispherical reflectance black-sky albedo (BSA) at local solar noon. The VJ243MA3 product is produced daily using 16 days of VIIRS data and is weighted temporally to the ninth day, which is reflected in the file name. The VJ243 data products are designed to promote the continuity of NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VJ243 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from (VJ243MA1) to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VJ243MA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VJ243MA3). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) variables can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD). The VJ243MA3 product provides a total of 36 SDS variables including: BSA; WSA; and mandatory quality variables for nine VIIRS moderate bands M1-M5, M7-M8, and M10-M11; as well as near-infrared (NIR); shortwave; and visible broadbands. A low-resolution image is also available showing retrievals of WSA for band M1 in JPEG format. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.

The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Nadir Bidirectional Reflectance Distribution Function (BRDF) Adjusted Reflectance (NBAR) Version 2 product provides NBAR estimates at 1 kilometer (km) resolution. The VJ243IA4 product is produced daily using 16-day VIIRS data and is weighted temporally to the 9th day, which is reflected in the file name. The view angle effects are removed from the directional reflectances resulting in a stable and consistent NBAR product. The VJ243 data products are designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo product suite to promote the continuity of the Earth Observation System (EOS) mission. The VJ243 data products are designed to promote the continuity of NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VJ243 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from (VJ243MA1) to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VJ243MA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VJ243MA3). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) variables can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD). The VJ243MA4 product includes 18 SDS variables for BRDF/Albedo mandatory quality and nadir reflectance for VIIRS nine moderate bands M1-M5, M7-M8, and M10-M11. A low-resolution browse image is also available showing NBAR bands M5, M7, and M5 as an RGB image in JPEG format. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.

Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter: mean amplitude of radiometrically terrain-corrected gamma-0 backscatter (AMP) values for March/April/May in VV polarization. Pixel values in source rasters are stored as digital numbers (DN). Processing templates are included with the service to provide the power and dB values along with the original DN values. The power value is calculated using the formula DN ^ 2 / 199526231, and the dB value is calculated using the formula 20 x log10(DN) - 83. The source rasters referenced in this service are available on the Registry of Open Data on AWS: https://registry.opendata.aws/ebd-sentinel-1-global-coherence-backscatter/

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information. This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a detailed base layer for the world featuring a light neutral style with minimal colors. It is designed to be used with the OpenStreetMap Light Gray Canvas Reference (WGS84) layer.  Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available. OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.  Precise Tile Registration: The tile layer uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.

Synthetic Aperture Radar (SAR) data from the Copernicus Contributing Missions (CCM) provide high-resolution radar imagery, unaffected by weather conditions or daylight. These datasets support Copernicus services in land and marine monitoring, change detection, emergency management, and geophysical observation. With its all-weather, day-and-night imaging capability, SAR is a vital source of spatial information for operational applications.

Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter: mean amplitude of radiometrically terrain-corrected gamma-0 backscatter (AMP) values for March/April/May in VH polarization. Pixel values in source rasters are stored as digital numbers (DN). Processing templates are included with the service to provide the power and dB values along with the original DN values. The power value is calculated using the formula DN ^ 2 / 199526231, and the dB value is calculated using the formula 20 x log10(DN) - 83. The source rasters referenced in this service are available on the Registry of Open Data on AWS: https://registry.opendata.aws/ebd-sentinel-1-global-coherence-backscatter/

The Sentinel-6 P4 Level 2 Short Time Critical (STC) product provides medium-latency ocean surface data, including sea surface height, wind speed, and wave height, tailored for ocean modelling and assimilation purposes. The data are organized by full satellite passes (pole-to-pole) and are delivered within 36 hours of acquisition. The product is available in NetCDF format and ensures consistent quality for near-operational applications.

This Collection provides Sentinel-5P Level-2 NP BD6 products, which contains information on cloud and scene homogeneity.

Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter: mean amplitude of radiometrically terrain-corrected gamma-0 backscatter (AMP) values for September/October/November in VH polarization. Pixel values in source rasters are stored as digital numbers (DN). Processing templates are included with the service to provide the power and dB values along with the original DN values. The power value is calculated using the formula DN ^ 2 / 199526231, and the dB value is calculated using the formula 20 x log10(DN) - 83. The source rasters referenced in this service are available on the Registry of Open Data on AWS: https://registry.opendata.aws/ebd-sentinel-1-global-coherence-backscatter/

The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Land Water Mask (MOD44W) Version 6.1 data product provides a global map of surface water at 250 meter (m) spatial resolution. The data are available annually from 2000 to present. MOD44W Version 6.1 is derived using a decision tree classifier trained with MODIS data and validated with the Version 5 MOD44W data product. A series of masks are applied to address known issues caused by terrain shadow, burn scars, cloudiness, or ice cover in oceans. Version 6.1 is the generation of a time series rather than a simple static representation of water, given that water bodies fluctuate in size and location over time due to both natural and anthropogenic causes. Provided in each MOD44W Version 6.1 Hierarchical Data Format 4 (HDF4) file are layers for land water mask and water body classification. A quality assurance (QA) layer provides users with information on the determination of water. The new seven class water classification layer provides values for shallow ocean, land, shoreline, inland water, ephemeral water, deep inland water, moderate ocean, deep ocean, and a classification deemed to fall outside of the projection. Known Issues * The seven_class SDS layer legend for classes 4 and 5 are incorrectly listed as Deep Inland Water and Ephemeral Water in the data for the entire mission period. Users are requested to follow the legend provided in the User Guide. * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.

LPJ-PROSAIL simulated data products are produced through the coupling of the Lund-Potsdam-Jena dynamic global vegetation model (LPJ) and PROSAIL, a radiative transfer model. The simulated imaging spectroscopy data were produced to aid in the development of workflows, algorithm testing, and other activities during the lead up to future global spaceborne imaging spectroscopy missions such as NASA’s Surface Biology and Geology (SBG). The LPJ-PROSAIL Level 2 Global Simulated Dynamic Surface Reflectance (LPJ_L2_SSREF) Version 1 data product provides simulated dynamic surface reflectance data in five Network Common Data Format 4 (netCDF4) files, each containing a different reflectance stream at a spatial resolution of 0.5 degrees (~50 kilometers): bidirectional (BDR), bi-hemispherical (BHR), hemispherical-directional (HDR), directional-hemispherical (DHR), and directional (DR). Each reflectance file within a granule contains simulated surface reflectance measurements of 211 bands with 10 nanometer (nm) spectral resolution across a spectral range of 400 to 2500 nm for the entire globe. The data are presented with four dimensions: latitude, longitude, bands (wavelength), and time. Each netCDF4 file holds a one-dimensional list for each of the four dimensions containing the values that are associated with those dimensions. LPJ_L2_SSREF Version 1 is composed of one granule containing data for the year 2020 with monthly time increments. Known Issues * Data Usage Warning: These data are meant to be used in development of workflows, algorithms, and other instances where large imaging spectroscopy datasets are needed for testing. Due to the simulated nature of these data, these data are not intended for scientific use and should not be used for any real-world scientific analyses or conclusions.

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information. This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered using OSM cartography. It is designed to be used with World Hillshade. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available. OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.  Precise Tile Registration: The tile layer uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.

satellite imagery by Ben, acquired 2025-04-04 to 2025-04-04, 2.1 cm per pixel, published on OpenAerialMap.

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information. This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a reference layer featuring map labels, boundary lines, and roads. This layer is designed to be overlaid on imagery.  Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available. OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.

Global spring (March/April/May) median 6-day interferometric coherence (COH06) in HH polarization from the Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set (GSSICB). Pixel values in source rasters are the coherence value (ranging from 0 to 1) multiplied by 100. A processing template is included with the service to provide the standard coherence values (0 to 1) along with the original source raster values. The source rasters referenced in this service are accessed from the Registry of Open Data on AWS. The source rasters are also archived by the Alaska Satellite Facility in NASA's Earthdata Cloud. More information about the dataset is available here: https://asf.alaska.edu/datasets/derived/global-seasonal-sentinel-1-interferometric-coherence-and-backscatter-dataset/ To learn more about the GSSICB image services and access web maps, refer to ASF's GSSICB StoryMap Tutorial. -------- Time Interval: SeasonalTime Extent: Mar 2020 to May 2020Time Standard: Coordinated Universal Time (UTC)Grid Size: 3 arcsecond pixel spacingProjection: WGS84Extent: Global Source:Alaska Satellite Facility (ASF) Data Sources: https://doi.org/10.5067/8W33RRS6S2RV Data Parameters: GSSICB_Median_6_day_HH_Coherence_Mar_Apr_May_Scaled: Global spring (March/April/May) median 6-day interferometric coherence (COH06) in HH polarization from the Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set. The source rasters have been scaled to an integer (values ranging from 0 to 100) by multiplying the coherence values by 100. GSSICB_Median_6_day_HH_Coherence_Mar_Apr_May_Unscaled: Global spring (March/April/May) median 6-day interferometric coherence (COH06) in HH polarization from the Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set. The default raster function template for this image service converts the scaled source raster values to the normal range of coherence values (0 to 1) by dividing the pixel values of the source rasters by 100. -------- For questions or issues please email: uso@asf.alaska.edu

The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameters (VJ243IA1) Version 2 product provides kernel weights (parameters) at 500 meter (m) resolution. The VJ243IA1 product is produced daily using 16 days of VIIRS data, temporally weighted to the ninth day, which is reflected in the file name. The VJ243IA1 product provides three spectrally dependent kernel weights, also known as model parameters: isotropic (fiso), volumetric (fvol), and geometric (fgeo), which can be used to model anisotropic effects of the Earth’s surface. All VJ243 data products are designed to promote the continuity of NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite. The VJ243 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VJ243IA1 to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VJ243IA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VJ243IA3). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) variables can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD). The VJ243IA1 data product provides a total of six SDS variables including: three mandatory quality variables for bands I1, I2, and I3 and three multi-dimensional model parameter bands representing fiso, fvol, and fgeo for each imagery band. Each data product file is provided in HDF-EOS5 format. A low-resolution browse is also available showing BRDF/Albedo parameters for VIIRS imagery bands: I1, I2, and I1 as an RGB (red, green, blue) image in JPEG format. Known Issues: * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.  This tile layer presents a world basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered using OSM cartography. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available. OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.  Precise Tile Registration: The tile layer uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.

The Earth Surface Mineral Dust Source Investigation (EMIT) is an Earth Ventures-Instrument (EVI-4) Mission aboard the International Space Station (ISS). EMIT’s prime mission was designed to map surface mineralogy of arid dust source regions using imaging spectroscopy in the visible and short-wave infrared (VSWIR). EMIT uses imaging spectroscopy to take mineralogical measurements of sunlit regions of interest between 52° N latitude and 52° S latitude. During the prime mission, the EMIT team focused on using surface reflectance to resolve absorption features of iron oxides, clays, sulfates, carbonates, and other dust-forming minerals in Earth's dust source regions. In the extended mission, EMIT’s core measurements remain the same, but acquisitions expand to sample all regions observable from the ISS orbit, supporting efforts across the atmosphere, biosphere, cryosphere, geosphere, hydrosphere, and more. An interactive map showing the regions being investigated, current and forecasted data coverage, and additional data resources can be found on the VSWIR Imaging Spectroscopy Interface for Open Science (VISIONS) EMIT Open Data Portal. The EMIT Level 3 Gridded Surface Reflectance and Uncertainty (EMITL3RFL) Version 2 data product provides surface reflectance, uncertainty, atmospheric state, and observation data which are projected to a regular grid using World Geodetic System 1984 (WGS 84). The pixel size of the grid is 0.00055 degrees, corresponding to an approximate spatial resolution of 60 meters (m). Each EMITL3RFL granule consists of three Network Common Data Format Version 4 (netCDF-4) files (gridded Reflectance, gridded Reflectance Uncertainty, gridded Observation), one sidecar JSON (JavaScript Object Notation) file, and one full-resolution browse image. The Reflectance file (EMIT_L3_RFL) contains surface reflectance maps of 285 bands with a spectral range of 381-2493 nanometers (nm) at a spectral resolution of ~7.5 nm. These are all contained within a single science dataset layer/variable. Aerosol optical thickness and water vapor values are also included within their own separate variables. The Reflectance Uncertainty file (EMIT_L3_RFLUNCERT) contains uncertainty reported as one standard deviation, per channel, with covariance ignored. The Observation file (EMIT_L3_OBS) contains variables with viewing and solar geometries, timing, aspect, slope, and other information related to the observation for each pixel. The spectral information provided within each granule is the same as EMIT L2A Surface Reflectance and Uncertainty 60 m V002 (EMITL2ARFL), that has been orthorectified and had the cloud mask applied in advance. Each netCDF-4 file is also chunked and compressed into five precision fragments, to provide more efficient file access, particularly for cloud-access interfaces. The JSON sidecar file (EMIT_L3_RFL*.sidecar.json) is an optional file that may decrease the latency for some cloud-access interfaces. Each granule is approximately 75 kilometers (km) by 75 km, nominal at the equator, with some reaching approximately 150 km in length at the end of an orbit segment. Known Issues: * Data acquisition gap: From September 13, 2022, through January 6, 2023, a power issue on the ISS caused a pause in EMIT operations. Due to this shutdown, no data were acquired during that timeframe. Outside of this period, regular short-term gaps in coverage are expected depending on the solar and sensor geometry.

Dataset Card for Amfitrite-Open-Waters-HAB-Sentinel2 This dataset contains multispectral Sentinel-2 satellite imagery tiles focused on open water and coastal marine environments, classified by the potential presence of Harmful Algal Blooms (HABs). It is designed to train Machine or Deep Learning models (like CNNs) for large-scale environmental monitoring and ocean anomaly detection. Dataset Details Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/kostaspic/amfitrite-open-waters-hab-sentinel2.

CONUS H3 Land Cover Density (NLCD 2024) A continental United States land cover dataset aggregated to Uber's H3 hexagonal grid at resolution 10 (~120m cell edge length). Each cell contains continuous per-channel coverage fractions derived from the USGS National Land Cover Database (NLCD) 2024. Unlike NLCD's native discrete classification, this dataset expresses land cover as continuous multi-channel density values — a cell at a forest-wetland boundary is represented as 0.6 forest… See the full description on the dataset page: https://huggingface.co/datasets/Timmahw/conus-h3-land-cover.

TerraMesh-Masks-Eval TerraMesh-Masks-Eval is a human-verified benchmark dataset to evaluate open-vocabulary segmentation models on satellite imagery. This dataset provides binary segmentation masks with captions togehther with input samples from TerraMesh. We also provide a training dataset, called TerraMesh-Masks. Examples from the evaluation subset: Usage Download the data loading code from GitHub and install requirements with pip install -r… See the full description on the dataset page: https://huggingface.co/datasets/ibm-esa-geospatial/TerraMesh-Masks-Eval.

Remote Sensing Change Detection Dataset For Chinese documentation, please see README_zh.md Dataset Description A specialized dataset for remote sensing change detection research, containing complete image processing pipeline and annotation information. This dataset includes 24 groups of registered and aligned remote sensing image samples, with each group containing 5 different types of image files and corresponding annotation files. Dataset Features… See the full description on the dataset page: https://huggingface.co/datasets/Mercyiris/remote-sensing-change-detection.

Forest cover: areas where forest cover is above 30%. Pixels with a value higher than the specified threshold (30%) were given a value of 1 (YES response) The Dynamic Land Cover map at 100 m resolution (CGLS-LC100) is a new product in the portfolio of the CGLS and delivers a global land cover map at 100 m spatial resolution. The CGLS Land Cover product provides a primary land cover scheme. Next to these discrete classes, the product also includes continuous field layers for all basic land cover classes that provide proportional estimates for vegetation/ground cover for the land cover types. This continuous classification scheme may depict areas of heterogeneous land cover better than the standard classification scheme and, as such, can be tailored for application use (e.g. forest monitoring, crop monitoring, biodiversity and conservation, monitoring environment and security in Africa, climate modelling, etc.). These consistent Land Cover maps (v3.0.1) are provided for the period 2015-2019 over the entire Globe, derived from the PROBA-V 100 m time-series, a database of high quality land cover training sites and several ancillary datasets, reaching an accuracy of 80% at Level1 over all years. It is planned to provide yearly updates from 2020 through the use of a Sentinel time-series. **Data revision:** 2021-12-14 **Contact points:** Contact: [Marcel Buchhorn](mailto:marcel.buchhorn@vito.be) Remote Sensing Unit, Flemish Institute for Technological Research Metadata contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) FAO-UN **Resource constraints:** - The dataset contains modified Copernicus Climate Change Service information [2005-2019]; - Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. More information on Copernicus License in PDF version at https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf **Online resources:** Copernicus Global Land Cover Layers

Grass cover: areas where grass cover is above 30%. Pixels with a value higher than the specified threshold (30%) were given a value of 1 (YES response) The Dynamic Land Cover map at 100 m resolution (CGLS-LC100) is a new product in the portfolio of the CGLS and delivers a global land cover map at 100 m spatial resolution. The CGLS Land Cover product provides a primary land cover scheme. Next to these discrete classes, the product also includes continuous field layers for all basic land cover classes that provide proportional estimates for vegetation/ground cover for the land cover types. This continuous classification scheme may depict areas of heterogeneous land cover better than the standard classification scheme and, as such, can be tailored for application use (e.g. forest monitoring, crop monitoring, biodiversity and conservation, monitoring environment and security in Africa, climate modelling, etc.). These consistent Land Cover maps (v3.0.1) are provided for the period 2015-2019 over the entire Globe, derived from the PROBA-V 100 m time-series, a database of high quality land cover training sites and several ancillary datasets, reaching an accuracy of 80% at Level1 over all years. It is planned to provide yearly updates from 2020 through the use of a Sentinel time-series. **Data revision:** 2021-12-14 **Contact points:** Contact: [Marcel Buchhorn](mailto:marcel.buchhorn@vito.be) Remote Sensing Unit, Flemish Institute for Technological Research Metadata contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) FAO-UN **Resource constraints:** - The dataset contains modified Copernicus Climate Change Service information [2005-2019]; - Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. More information on Copernicus License in PDF version at https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf **Online resources:** Copernicus Global Land Cover Layers