Global geoscience data

Abstract Landslides can have significant and pervasive impacts to life and property around the world. Several attempts have been made to predict the geographic distribution of landslide activity at continental and global scales. These efforts shared common traits such as resolution, modeling approach, and explanatory variables. The lessons learned from prior research have been applied to build a new global susceptibility map from existing and previously unavailable data. Data on slope, faults, geology, forest loss, and road networks were combined using a heuristic fuzzy approach. The map was evaluated with a Global Landslide Catalog developed at the National Aeronautics and Space Administration, as well as several local landslide inventories. Comparisons to similar susceptibility maps suggest that the subjective methods commonly used at this scale are, for the most part, reproducible. However, comparisons of landslide susceptibility across spatial scales must take into account the susceptibility of the local subset relative to the larger study area. The new global landslide susceptibility map is intended for use in disaster planning, situational awareness, and for incorporation into global decision support systems. Data visualization Landslide susceptibility is shown using a 5-color Color Ramp from blue to red. Values represent Very Low (blue) to Very High (red) susceptibility to a landslide. Further reference Read more about the susceptibility map on the Global Precipitation Measurement (GPM) mission website. Stanley, T., and D. B. Kirschbaum (2017), A heuristic approach to global landslide susceptibility mapping, Nat. Hazards, 1–20, doi:10.1007/s11069-017-2757-y.

The open water layer represents the compilation of later winter open water observations including regionally focused helicopter-based open water surveys from historical exploration work and various open water observations throughout the Yukon. Distributed from GeoYukon by the Government of Yukon. Discover more digital map data and interactive maps from Yukon’s digital map data collection. For more information: geomatics.help@yukon.ca

Landslides are a widespread and often underestimated natural hazard, causing thousands of deaths and significant economic damage each year. They routinely block roads, destroy infrastructure, and disrupt communities worldwide. While intense or prolonged rainfall is the most common landslide trigger, earthquakes and human activities can also cause them. The global Landslide Hazard Assessment for Situational Awareness (LHASA) model provides users with a comprehensive view of landslide hazard in near real-time. Using machine learning, LHASA combines rainfall data from the Global Precipitation Measurement (GPM) satellite with antecedent soil moisture from the Soil Moisture Active Passive (SMAP) satellite to identify areas currently at risk from landslides. The model shows where and when landslides are most probable, then calculates the exposed population and road length within each administrative district, helping users understand both the hazard and potential impacts on communities and infrastructure. Daily global landslide exposure assessment from the LHASA (Landslide Hazard Assessment for Situational Awareness) model. Color-coded hazard levels range from red (very high exposure) to yellow (low exposure), helping users identify areas where landslides may occur. To learn more please visit: https://landslides.nasa.gov/

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) dataset provides monthly emissivity at 0.05 degree (~5 kilometer) resolution (CAM5K30EM). The CAM5K30EM data product was created by combining the University of Wisconsin-Madison MODIS Baseline Fit (UWBF) emissivity database and the Jet Propulsion Laboratory ASTER Global Emissivity Dataset Version 4 (GED V4). The two datasets have been integrated to capitalize on the unique strengths of each product's characteristics. The integration steps include adjustment of ASTER GED Version 3 emissivities for vegetation and snow cover variations to produce ASTER GED Version 4, aggregation of ASTER GED Version 4 emissivities from 100 meter resolution to the UWBF 5 kilometer resolution, merging of the five ASTER spectral emissivities with the UWBF emissivity to create CAMEL at 13 hinge points, and extension of the 13 hinge points to high spectral resolution (HSR) utilizing the Principal Component (PC) regression method. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD). Provided in the CAM5K30EM product are layers for the CAMEL emissivity, ASTER Normalized Difference Vegetation Index (NDVI), snow fraction derived from MODIS (MOD10), latitude, longitude, CAMEL quality, ASTER quality, and the UWBF emissivity quality information. Known Issues * The following granules are missing from the product: January, February, and August of 2000; June and July of 2001; March of 2002; December of 2003; July of 2010; and February of 2016.

# EOS-RS Damage Proxy Map: Hualien County, Taiwan, Landslide, 24 June 2026, v1.2 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Hualien County, Taiwan, due to the landslide that created a barrier lake on 22 June 2026. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite using a pre-event time series of (23 Feb 2026 to 11 June 2026) and a post-event acquisition (23 June 2026). The map covers the area indicated by the white polygon. Damage is shown by colored pixels of approximately 30m in size, where yellow to red indicates increasingly significant ground surface change before and after the event. Preliminary validation was conducted using news reports and pictures in selected areas. This map should be used as guidance to identify damaged areas and may be less reliable over vegetated or mountainous areas. Scattered pixels over such areas may be false positives, and a lack of colored pixels does not necessarily indicate an absence of damage. This product contains modified Copernicus Sentinel data (2026), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2026)

# Turkiye Syria Earthquake: Damage Proxy Maps, Feb 2023 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for Turkiye Syria Earthquake (Feb 2023) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 21 Feb 2023, v0.4** - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 21 Feb 2023, v0.4** - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 11 Feb 2023, v1.2** - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 11 Feb 2023, v1.2** - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 9-11 Feb 2023, v1.2** (superseded) - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 9-11 Feb 2023, v1.2** (superseded) - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 10 Feb 2023, v1.2** - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 10 Feb 2023, v1.2** - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 10 Feb 2023, v0.9** (superseded) - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 10 Feb 2023, v0.9** (superseded) - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 9 Feb 2023, v1.2** - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 9 Feb 2023, v1.2** - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 9 Feb 2023, v0.9** (superseded) - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 9 Feb 2023, v0.9** (superseded) - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 8 Feb 2023, v1.2** - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 8 Feb 2023, v1.2** - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 8 Feb 2023, v0.5** (superseded) - **EOS-RS Damage Proxy Map: Türkiye (Turkey) and Syria, Earthquake, 8 Feb 2023, v0.5** (superseded) **More map details and files:** **More map details and files:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Advanced Rapid Imaging and Analysis (ARIA), NASA-JPL/Caltech, Contains modified Copernicus Sentinel data (2022-2023)

# Taiwan Earthquake: Damage Proxy Maps, Sep 2022 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for Taiwan Earthquake (Sep 2022) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Taiwan, Earthquake, 24 Sep 2022, v0.9** - **EOS-RS Damage Proxy Map: Taiwan, Earthquake, 24 Sep 2022, v0.9** - **EOS-RS Damage Proxy Map: Taiwan, Earthquake, 22 Sep 2022, v0.9** - **EOS-RS Damage Proxy Map: Taiwan, Earthquake, 22 Sep 2022, v0.9** - **EOS-RS Damage Proxy Map: Taiwan, Earthquake, 22 Sep 2022, v0.4** (superseded) - **EOS-RS Damage Proxy Map: Taiwan, Earthquake, 22 Sep 2022, v0.4** (superseded) **More map details and files:** **More map details and files:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Advanced Rapid Imaging and Analysis (ARIA), NASA-JPL/Caltech, Contains modified Copernicus Sentinel data (2021-2022)

This data lists events with magnitude 2.5+ which have been located by the USGS and contributing agencies within the last day and last week. To see these events in an interactive map, see the USGS map. For more information, see the USGS site.

Percentage sand in the in the subsoil. Sand comprises particles, or granules, ranging in diameter from 0.0625 mm (or 1⁄16 mm) to 2 millimeters. An individual particle in this range size is termed a sand grain. Sand feels gritty when rubbed between the fingers (silt, by comparison, feels like flour). Sand is commonly divided into five sub-categories based on size: very fine sand (1/16 - 1/8 mm diameter), fine sand (1/8 mm - 1/4 mm), medium sand (1/4 mm - 1/2 mm), coarse sand (1/2 mm - 1 mm), and very coarse sand (1 mm - 2 mm). **Data publication:** 2012-03-01 **Citation:** Full acknowledgement and referencing of all sources must be included in any documentation using any of the material contained in the Harmonized World Soil Database, as follows: FAO/IIASA/ISRIC/ISSCAS/JRC, 2012. Harmonized World Soil Database (version 1.2). FAO, Rome, Italy and IIASA, Laxenburg, Austria. **Contact points:** Metadata Contact: [CBL Global Soil Partnership](mailto:GSP-Secretariat@fao.org) Resource Contact: [Ronald Vargas](mailto:GSP-Secretariat@fao.org) **Resource constraints:** All rights reserved. No part of this Harmonized World Soil Database may be reproduced, stored in a retrieval system or transmitted by any means for resale or other commercial purposes without written permission of the copyright holders. Reproduction and dissemination of material in this information product for educational or other noncommercial purposes are authorized without any prior written permission from the copyright holders provided the source is fully acknowledged. **Online resources:** Report: Harmonized World Soil Database Version 1.2 February 2012 Download - Subsoil Sand Fraction (TIFF)

These datasets were prepared within the scope of the Holisoils (Holistic management practices, modelling & monitoring for European Forest Soils) project (EU Horizon 2020 Grant agreement ID: 101000289). The soil property maps were generated at a resolution of 100m, and created with LUCAS and other continental level data using digital soil mapping. Users should assess the local predictive accuracy of the maps prior to using them for making recommendations at local (or field) level. The datasets contain the following soil properties (for top soil (0-30 cm) depth): Soil organic carbon content, pH in water, Total nitrogen, Bulk density (oven dry), Coarse fragments (volumetric), Soil inorganic carbon content, Sand, Silt, Clay, as well as Soil organic carbon stocks, Soil inorganic carbon stocks and Soil nitrogen stocks. The Soil organic carbon content "soc_topsoil_030cm_mean_forest" layer is represented here in the Web Map Service (WMS). For more information and to visualize all layers, please refer to the ISRIC web page at https://maps.isric.org/. Measurement units and web links for the above properties can be found be below. The maps are provided as Web Map Service (WMS) layers which load dynamically in a GIS software. For instructions see: https://www.isric.org/instruction-wms . **Data creation:** 2024-02-29 **Data publication:** 2025-01-01 **Contact points:** Metadata Contact: [Data infodesk](mailto:data@isric.org) Resource Contact: [Betony Colman](mailto:betony.colman@isric.org) Resource Contact: [Laura Poggio](mailto:laura.poggio@isric.org) Resource Contact: [Luis Calisto](mailto:luis.callisto@isric.org) Resource Contact: [Niels Batjes](mailto:niels.batjes@isric.org) **Data lineage:** Data quality information not available **Resource constraints:** Attribution 4.0 International (CC BY 4.0), https://creativecommons.org/licenses/by/4.0/ **Online resources:** Digital Object Identifier (DOI)

Global Soil Organic Carbon Map v1.5 is the first global soil organic carbon map ever produced through a consultative and participatory process involving member countries, which makes this map totally new and unique. In fact, the map was prepared by member countries, under the guidance of the Intergovernmental Technical Panel on Soils and the Global Soil Partnership Secretariat. Countries agreed on the methodology to produce the map and were trained on modern tools and methodologies to develop national maps. The Global Soil Partnership then gathered all national maps to produce the final product, ensuring a thorough harmonization process. The dataset comes along with a technical report presenting methodologies and process of compiling the Global Soil organic Carbon Map. The link to download the report is available in the on-line resources. **Data revision:** 2019-06-01 **Supplemental Information:** No data value : -3 Unit : t/ha Scale Factor : 1.0 Map code : GSOCMAP1-5-0 **Contact points:** Resource Contact: [Yusuf Yigini](mailto:GSP-Secretariat@fao.org) Metadata Contact: [CBL Global Soil Partnership](mailto:GSP-Secretariat@fao.org) **Data lineage:** Information on data quality at https://openknowledge.fao.org/server/api/core/bitstreams/c3ccec0d-fe75-49b7-9a4c-ee0a8777fed9/content **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage Download - GSOC-Map Technical Report Global Soil Partnership GSOCmap Contributors

The Digital Soil Map of the World is a global vector dataset based on the original FAO-UNESCO World Soil Map, published in 10 volumes and 19 cartographic sheets from 1972 to 1977. The digitized soil map, in geographic projection (latitude - longitude) and at a scale of 1:5,000,000, was intersected with a layer containing hydrographic features (coasts, lakes, glaciers, and dual-course rivers) and, with the exception of the African continent, with the map of national boundaries obtained from the World Data Bank II (United States Government) updated in January 1994 at a scale of 1:3,000,000. For Africa, national boundaries were derived from the boundaries of the Original FAO/UNESCO World Soil Map of the World. In both cases, national boundaries have been verified and, where necessary, adjusted based on FAO and UN conventions. The Digital Soil Map of the World in PDF and GIS formats is available for download in the **Data and Resources** section of this metadata. Maps and legends can be also found on the **FAO Soil Portal**, along with the related reports, for the following regions: North America, Mexico and Central America, South America, Europe, Asia, South Asia, North and Central Asia, Southeast Asia, and Australasia. **Data revision:** 2007-02-28 **Contact points:** Resource Contact: [ Land and Water Division](mailto:land-and-water@fao.org) Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) **Data lineage:** More information regarding the production and use of the digital soil map of the world can be found in the layer (.lyr), legend (.avl), readme and excel files contained in the zip files available for download. Please note that the Digital Soil Map of the World is also available in a raster version at 5 arc minutes resolution. **Resource constraints:** This work is made available under the Creative Commons Attribution 4.0 International licence (CC-BY-4.0) **Online resources:** Digital Soil Map of the World - ESRI shapefile format Digital Soil Map of the World - Erdas format Digital Soil Map of the World (by Regions) - Erdas format Digital Soil Map of the World - IDRISI format Digital Soil Map of the World - high resolution map (PDF format - 28MB) Harmonized World Soil Database FAO Soils Portal: FAO/UNESCO Soil Map of the World

Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter: mean amplitude of radiometrically terrain-corrected gamma-0 backscatter (AMP) values for December/January/February 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/

Global summer (June/July/August) median 12-day interferometric coherence (COH12) 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: 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_HH_Coherence_Jun_Jul_Aug_Scaled: Global summer (June/July/August) median 12-day interferometric coherence (COH12) 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_12_day_HH_Coherence_Jun_Jul_Aug_Unscaled: Global summer (June/July/August) median 12-day interferometric coherence (COH12) 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

Global winter (December/January/February) median 6-day interferometric coherence (COH06) 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: Dec 2019 to Feb 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_VV_Coherence_Dec_Jan_Feb_Scaled: Global winter (December/January/February) median 6-day interferometric coherence (COH06) 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_6_day_VV_Coherence_Dec_Jan_Feb_Unscaled: Global winter (December/January/February) median 6-day interferometric coherence (COH06) 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

Global winter (December/January/February) 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: Dec 2019 to Feb 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_Dec_Jan_Feb_Scaled: Global winter (December/January/February) 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_Dec_Jan_Feb_Unscaled: Global winter (December/January/February) 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

Global summer (June/July/August) median 6-day interferometric coherence (COH06) 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_6_day_VV_Coherence_Jun_Jul_Aug_Scaled: Global summer (June/July/August) median 6-day interferometric coherence (COH06) 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_6_day_VV_Coherence_Jun_Jul_Aug_Unscaled: Global summer (June/July/August) median 6-day interferometric coherence (COH06) 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

Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter: mean amplitude of radiometrically terrain-corrected gamma-0 backscatter (AMP) values for December/January/February in HH 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/

Global winter (December/January/February) 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: Dec 2019 to Feb 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_Dec_Jan_Feb_Scaled: Global winter (December/January/February) 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_Dec_Jan_Feb_Unscaled: Global winter (December/January/February) 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

This entity describes an area that you may need to vacate if you feel a long rolling earthquake that lasts more than a minute, or a strong earthquake that makes it hard to stand up, or if there is an official tsunami warning. Due to the risks posed by unusually large sea waves generated by earthquake, submarine volcanic eruption or submarine landslide. It is spatially abstracted to an Area Feature. Entity Type: Concept.

Global fall (September/October/November) median 12-day interferometric coherence (COH12) 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: 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_HH_Coherence_Sep_Oct_Nov_Scaled: Global fall (September/October/November) median 12-day interferometric coherence (COH12) 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_12_day_HH_Coherence_Sep_Oct_Nov_Unscaled: Global fall (September/October/November) median 12-day interferometric coherence (COH12) 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

Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter: mean amplitude of radiometrically terrain-corrected gamma-0 backscatter (AMP) values for June/July/August 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/

Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter: mean amplitude of radiometrically terrain-corrected gamma-0 backscatter (AMP) values for December/January/February 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/

Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter: mean amplitude of radiometrically terrain-corrected gamma-0 backscatter (AMP) values for September/October/November 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/

Global spring (March/April/May) median 12-day interferometric coherence (COH12) 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_12_day_HH_Coherence_Mar_Apr_May_Scaled: Global spring (March/April/May) median 12-day interferometric coherence (COH12) 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_12_day_HH_Coherence_Mar_Apr_May_Unscaled: Global spring (March/April/May) median 12-day interferometric coherence (COH12) 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

Global summer (June/July/August) 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: 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_6_day_HH_Coherence_Jun_Jul_Aug_Scaled: Global summer (June/July/August) 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_Jun_Jul_Aug_Unscaled: Global summer (June/July/August) 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

Global winter (December/January/February) median 12-day interferometric coherence (COH12) 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: Dec 2019 to Feb 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_HH_Coherence_Dec_Jan_Feb_Scaled: Global winter (December/January/February) median 12-day interferometric coherence (COH12) 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_12_day_HH_Coherence_Dec_Jan_Feb_Unscaled: Global winter (December/January/February) median 12-day interferometric coherence (COH12) 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

Global fall (September/October/November) 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: 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_6_day_HH_Coherence_Sep_Oct_Nov_Scaled: Global fall (September/October/November) 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_Sep_Oct_Nov_Unscaled: Global fall (September/October/November) 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

Global fall (September/October/November) median 6-day interferometric coherence (COH06) 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_6_day_VV_Coherence_Sep_Oct_Nov_Scaled: Global fall (September/October/November) median 6-day interferometric coherence (COH06) 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_6_day_VV_Coherence_Sep_Oct_Nov_Unscaled: Global fall (September/October/November) median 6-day interferometric coherence (COH06) 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

On 6 February 2023 at 4:17h, local time in Türkiye (01:17 GMT), an earthquake with a magnitude of 7.8 hit Türkiye and northwestern Syria. It mainly affected the cities of Adana, Adiyaman, Diyarbakir, Gaziantep, Hatay, Kahramanmaras, Kilis, Malatya, Osmaniye, and Sanliurfa in southeastern Türkiye and Aleppo, Hama, Idlib, Lattakie, and Tartous governorates in northwestern Syria. The earthquake’s epicentre was 23km east of the district of Nurdagi, in Türkiye’s Gaziantep city, at a depth of 24.1km. Türkiye is vulnerable to earthquakes because it lies on several fault lines, and the 7.8 quake seems to be the strongest since 1939 On the same day, at 13:45h, local time in Türkiye, another earthquake with a magnitude of 7.6 struck Türkiye. It hit four kilometres southeast of Ekinozu town in Kahraman Maras province, where the 7.8 earthquake hit hours earlier. As at 6 February, there had been at least 78 aftershocks.

# Taiwan Earthquake: Damage Proxy Maps, Apr 2024 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for Taiwan Earthquake (Apr 2024) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Taiwan, Earthquake, 04 Apr 2024, v0.5 wbd** - **EOS-RS Damage Proxy Map: Taiwan, Earthquake, 04 Apr 2024, v0.5 wbd** (superseded) - **EOS-RS Damage Proxy Map: Taiwan, Earthquake, 04 Apr 2024, v0.5** - **EOS-RS Damage Proxy Map: Taiwan, Earthquake, 04 Apr 2024, v0.5** (superseded) **More map details and files:** **More map details and files:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Original data ALOS-2 PALSAR-2 Product - JAXA (2022-2024)

Soil moisture content by volume, at tension 500 kPa (pF 3.7) (cm³/100cm³). ISRIC is developing a centralized and user–focused server database, known as ISRIC World Soil Information Service (WoSIS). The aims are to: • Safeguard world soil data "as is" • Share soil data (point, polygon, grid) upon their standardization and harmonization • Provide quality-assessed input for a growing range of environmental applications. So far some 400,000 profiles have been imported into WoSIS from disparate soil databases; some 150,000 of have been standardised. The number of measured data for each property varies between profiles and with depth, generally depending on the purpose of the initial studies. Further, in most source data sets, there are fewer data for soil physical as opposed to soil chemical attributes and there are fewer measurements for deeper than for superficial horizons. Generally, limited quality information is associated with the various source data. Special attention has been paid to the standardization of soil analytical method descriptions with focus on the set of soil properties considered in the GlobalSoilMap specifications. Newly developed procedures for the above, that consider the soil property, analytical method and unit of measurement, have been applied to the present set of geo-referenced soil profile data. Gradually, the quality assessed and harmonized "shared" data will be made available to the international community through several webservices. All data managed in WoSIS are handled in conformance with ISRICs data use and citation policy, respecting inherited restrictions. The most recent set of standardized attributes derived from WoSIS are available via WFS. For instructions see Procedures manual 2018, Appendix A, link below (Procedures manual 2018) **Data publication:** 2020-05-01 **Contact points:** Metadata Contact: [Ulan Turdukulov](mailto:ulan.turdukulov@isric.org) Resource Contact: [Ad van Oostrum](mailto:ad.vanoostrum@wur.nl) Resource Contact: [Ulan Turdukulov](mailto:ulan.turdukulov@isric.org) Resource Contact: [Niels Batjes](mailto:niels.batjes@isric.org) Resource Contact: [Eloi Ribeiro](mailto:eloi.ribeiro@wur.nl) **Data lineage:** https://www.isric.org/explore/wosis/wosis-contributing-institutions-and-experts **Resource constraints:** Licenced per profile, as specified by data provider and indicated in the data **Online resources:**

Global fall (September/October/November) median 6-day interferometric coherence (COH06) in VV polarization from the Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set. 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 available on the Registry of Open Data on AWS: https://registry.opendata.aws/ebd-sentinel-1-global-coherence-backscatter/

The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take mineralogical measurements of sunlit regions of interest between 52° N latitude and 52° S latitude. 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 1B At-Sensor Calibrated Radiance and Geolocation (EMITL1BRAD) Version 1 data product provides at-sensor calibrated radiance values along with observation data in a spatially raw, non-orthocorrected format. Each EMITL1BRAD granule consists of two Network Common Data Format 4 (NetCDF4) files at a spatial resolution of 60 meters (m): Radiance (EMIT_L1B_RAD) and Observation (EMIT_L1B_OBS). The Radiance file contains the at-sensor radiance measurements of 285 bands with a spectral range of 381-2493 nanometers (nm) and with a spectral resolution of ~7.5 nm, which are held within a single science dataset layer (SDS). The Observation file contains viewing and solar geometries, timing, topographic, and other information related to the observation. Each NetCDF4 file holds a location group containing geometric lookup tables (GLT), which are orthorectified images that provide relative x and y reference locations from the raw scene to allow for projection of the data. Along with the GLT layers, the files also contain latitude, longitude, and elevation layers. The latitude and longitude coordinates are presented using the World Geodetic System (WGS84) ellipsoid. The elevation data was obtained from Shuttle Radar Topography Mission v3 (SRTM v3) data and resampled to EMIT’s spatial resolution. Each granule is approximately 75 kilometers (km) by 75 km, nominal at the equator, with some granules at the end of an orbit segment reaching 150 km in length. Known Issues * Data acquisition gap: From September 13, 2022, through January 6, 2023, a power issue outside of EMIT caused a pause in operations. Due to this shutdown, no data were acquired during that timeframe.

The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission acquires high-resolution thermal infrared (TIR) data on the Earth’s surface with five spectral bands in the 8-12.5 μm range. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between approximately 52° N and 52° S latitudes. The ECOSTRESS Gridded Weight Percent Silica L3 Global 0.01 Degree Map (ECO_L3G_WPS) Version 1 demonstrates the potential of TIR image data acquired by the ECOSTRESS sensor to produce the first mineral maps of the Earth’s arid and semi-arid regions. Weight Percent Silica (WPS) quantifies the weight percent of SiO₂ (silica) across exposed rocks, sand, and soil by detecting the spectral shift of the diagnostic Si–O vibrational feature. ECO_L3G_WPS was generated by averaging all clear-sky ECOSTRESS Level 2 Gridded emissivity, ECO_L2G_LSTE, pixels from 2023 to 2024 onto a 0.01° (~1 km) global grid, then applying the WPS algorithm. The source emissivity data and mapping approach were validated against known mineralogy at two arid sites (quartz and gypsum), using direct comparison of field-collected samples. The product contains one science variable: WPS, and is distributed as a single global GeoTIFF. Vegetated and ocean pixels are masked to Not a Number (NaN). Known Issues * Coverage restriction: Data are limited to arid and semi-arid regions as defined by the Global Land Data Assimilation System (GLDAS) aridity mask. Vegetated areas, permanent ice, and ocean pixels are masked and contain no valid data. * Fixed values at data extremes: Weight Percent Silica values of exactly 3.2509% and 91.4135% (approximately 5.3% of valid pixels) occur when a pixel's true spectral minimum cannot be resolved by the retrieval algorithm. Users performing quantitative analysis (e.g., means, histograms, correlations) should be aware that these two specific values do not represent precise surface retrievals.

Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter: mean amplitude of radiometrically terrain-corrected gamma-0 backscatter (AMP) values for December/January/February 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/