Geoscience data
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Date of Image: 5/21/2026 Summary: Scientists working with Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology, both in Pasadena, California, created this displacement map with measurements of the surface displacements, in the radar line-of-sight, caused by the major earthquake in Turkiye. NOTE: The line-of-sight displacement (LOS) measurement is relative, and the dataset has not been calibrated to any ground location so there is a bias of the reference level, which is unknown. This data has not yet been validated. This displacement map should be used as guidance to identify areas of significant ground displacement, and may be less reliable over snow-covered and vegetated areas. SENTINEL-1: The map was derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The team computed the interferometric difference (interferogram or interferometric SAR) between the post-event and pre-event images on the Sentinel-1 ascending (satellite moving north) track 14. The interferometric SAR (InSAR) measures the component of surface displacement in the line-of-sight (LOS) between the ground and the satellite, which is at an angle of about 40 degrees from the vertical and slightly south of due west. Suggested Use: Unwrapped Interferogram (WRP): Phase map showing relative ground deformation where each "fringe" or concentric pattern indicates a 20 cm of displacement along the line-of-sight of the satellite (LOS). The color pattern from the inside to the outside of fringe indicates the direction of the ground movement. If the ground move towards the satellite, the color variation goes from ROYGB (Red->Orange->Yellow->Green->Blue), whereas, BGYOR (Blue->Green->Yellow->Orange->Red) represents ground movement away from the satellite. The dataset has not been calibrated to any ground location so there is a bias of the reference level, which is unknown. This data has not yet been validated. This displacement map should be used as guidance to identify areas of significant ground displacement, and may be less reliable over snow-covered and vegetated areas. Across Track Displacement (RNG): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East Along Track Displacement (AZI): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East NOTE: Small vertical displacements have also occurred, but the primary surface displacements were in the horizontal plane. Satellite/Sensor: Copernicus Sentinel-1 Synthetic Aperture Radar (SAR) Japan Aerospace Exploration Agency (JAXA) ALOS-2 PALSAR-2 Resolution: Sentinel-1: 90 meters ALOS-2: 30 meters Credits: NASA-JPL/Caltech ARIA Team The Sentinel-1 data products contain modified Copernicus Sentinel data (2023), processed by the European Space Agency and analyzed at the NASA Jet Propulsion Laboratory. The ALOS-2/PALSAR-2 Data Products are provided by JAXA, facilitated by NASA and analyzed at the NASA Jet Propulsion Laboratory. Service URL: See URL to the bottom right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_EX2604_202605_FIRE_CA/ex2604_disp_s1/MapServer/WMSServer
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/
Areal geosites, published by Regione Umbria as a feature layer. Coverage is in Italy.
Mapped geology of alluvial valleys, published by Regione Umbria as a feature layer. Coverage is in Italy.
Mapped soil provinces (pedological provinces), published by Regione Umbria as a feature layer. Coverage is in Italy.
Kortene er baseret på GEUS DGU kortserie 29, 30 og 31, Geologisk kort over Danmark 1:400.000 for det Danske Bassin. 'Base Chalk' and the 'Chalk Group' by Peter Japsen & Carsten Langtofte (1991). 'Top Triassic and the Jurassic-Lower Cretaceous by Peter Japsen & Carsten Langtofte, with contributions by Torben Bidstrup (1991). 'Top Chalk' and the 'Post Chalk Group' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Torben Bidstrup, Kurt Milthers & Carlos Møller (1995). 'Base Chalk' and the 'Chalk Group' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Kurt Milthers, Carlos Møller & Ole Valdemar Vejbæk (1995). 'Base Cretaceous' and the 'Cromer Knoll Group' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Morten Sparre Andersen, Carsten Langtofte, Kurt Milthers, Carlos Møller, Jens Jørge Møller, Kurt Damtofte Poulsen, Erik Skovbjerg Rasmussen & Ole Valdemar Vejbæk (1995). 'Base Upper Jurassic' and the 'Upper Jurassic' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Morten Sparre Andersen, Carsten Langtofte, Carlos Møller, Jens Jørge Møller, Kurt Damtofte Poulsen, Erik Skovbjerg Rasmussen & Ole Valdemar Vejbæk (1995).
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
Kortene er baseret på GEUS' DGU-kortserie 47, 48, 49 og 50, Geologiske kort over Danmark 1:200.000 Den danske Centralgrav. 'Base Chalk' and the 'Chalk Group' by Peter Japsen & Carsten Langtofte (1991). 'Top Triassic and the Jurassic-Lower Cretaceous by Peter Japsen & Carsten Langtofte, with contributions by Torben Bidstrup (1991). 'Top Chalk' and the 'Post Chalk Group' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Torben Bidstrup, Kurt Milthers & Carlos Møller (1995). 'Base Chalk' and the 'Chalk Group' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Kurt Milthers, Carlos Møller & Ole Valdemar Vejbæk (1995). 'Base Cretaceous' and the 'Cromer Knoll Group' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Morten Sparre Andersen, Carsten Langtofte, Kurt Milthers, Carlos Møller, Jens Jørge Møller, Kurt Damtofte Poulsen, Erik Skovbjerg Rasmussen & Ole Valdemar Vejbæk (1995). 'Base Upper Jurassic' and the 'Upper Jurassic' by Peter Britze, Peter Japsen & Claus Andersen, with contributions by Ioannis Abatzis, Morten Sparre Andersen, Carsten Langtofte, Carlos Møller, Jens Jørge Møller, Kurt Damtofte Poulsen, Erik Skovbjerg Rasmussen & Ole Valdemar Vejbæk (1995).
Maps disused quarries in the Umbria region as of 2021, published by Regione Umbria's SIAT. It is categorized as geoscience data and relates to extractive activity and the regional landscape and territorial plan.
Microsoft AI for Good Lab ran their damage assessment AI models in Pereira. For Google, there are a total of 75,262 footprints 651 are covered by clouds to some extent Of the remaining, we predict 613 are damaged (0.8% of remaining) For Overture 35,760 footprints 504 covered by clouds 309 damaged (0.9% of remaining)
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
The Digital Geological Map of Denmark 1:25,000, version 7.0, is a nationwide geological dataset describing the distribution of near-surface soil and sediment types across Denmark. The dataset is produced and maintained by the Geological Survey of Denmark and Greenland (GEUS) and represents the latest version of the digital soil and sediment map at a scale of 1:25,000. The map is based on an integrated interpretation of geological field observations, borehole data, historical analogue maps, and more recent digital datasets. Soil and sediment units are classified according to their lithological and genetic characteristics and represent the dominant materials in the uppermost geological layers. The dataset is continuously updated, and version 7.0 includes both revisions of previously mapped areas and newly mapped regions. The dataset is widely used as a foundation for geological analysis, land-use planning, environmental assessment, groundwater protection, raw material management, research, and education. In version 7 from 2023, 93% of Denmark's land area is classified, and the map is continuously supplemented. The map and sediment type description are published in GEUS report 2023/29, where further information is available. Official metadata Purpose To provide a detailed, consistent, and up-to-date geological map of near-surface soil and sediment types in Denmark for management, analysis, planning, and research purposes. Lineage The Digital Geological Map version 7.0 is the product of a long-term geological data acquisition and mapping program in Denmark. Field surveys and geological observations were carried out from approximately 1888 up to the publication year of 2023. The map is based on compiled geological data from interpreted field maps, boreholes, and systematic digitization of historical analogue maps. Version 7 includes additional mapped areas beyond earlier versions and was produced by the Geological Survey of Denmark and Greenland (GEUS).
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
Cave dismesse DGR 1243/2025 - rappresentazione areale
Mapped soil systems (pedological systems), published by Regione Umbria as a feature layer. Coverage is in Italy.
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
Cave dismesse DGR 1243/2025 - rappresentazione puntuale
Il servizio rende disponibile le informazioni relative alle INFORMAZIONI GEODETICHE E FOTOGRAMMETRICHE del Data base GeoTopografico dell'Asta del Fiume Tevere e Lago Trasimeno nel sistema di riferimento 7792. I contenuti di questo strato 00 riguardano i seguenti temi: INFORMAZIONI GEODETICHE, INFORMAZIONI CARTOGRAFICHE E METAINFORMAZIONE. Il Data base GeoTopografico è stato realizzato a partire dalla fotorestituzione (volo giugno - luglio 2013 - Regione Umbria). Scala 1:10.000
Tykkelsen af de kvartære aflejringer i Danmark er beregnet som forskellen mellem terræn (KMS - højdemodel 2008) og toppen af den prækvartære periode (GEUS - prækvartær højdeforhold). ENGLISH The thickness of the Quaternary deposits in Denmark is calculated as the difference between terrain (KMS - height model 2008) and the top of the pre-Quaternary (GEUS - pre-Quaternary height ratio).
Records the locations of active quarries in the Umbria region as of 2022. Published by RegioneUmbriaSIAT.
This spatial dataset represents areas where resources may be extracted within the limits of the aggregate licence or permit for the associated site. Reporting requirements are optional, which means records will be sporadic and limited to certain areas of the province. Additional details related to aggregates in Ontario are available in related data classes as well as online using the interactive Pits and Quarries map. Additional Documentation Aggregate Extraction Area - Data Description (PDF) Aggregate Extraction Area - Documentation (Word) Status On going: data is being continually updated Maintenance and Update Frequency As needed: data is updated as deemed necessary Contact Ryan Lenethen, Integration Branch, ryan.lenethen@ontario.ca
A schematic geological map of Umbria, published by Regione Umbria SIAT as a feature layer.
Aree aventi caratteristiche morfologiche, litologiche e di uso deol suolo omogenee. Ai sottosistemi son associate le "Unità Tipologiche di Suolo" (UTS). Elab.ne Università degli Studi di Perugia - Facoltà di Agraria - Dip.to di Scienze Agrarie e Ambientali
Microsoft AI for Good Lab ran their damage assessment AI models in La Guaria.
**UNOSAT code: FL20220418ZAF** This map illustrates satellite-detected landslides/mudflow in eThekwini, Metropolitan Municipality, eThekwini District, KwaZulu-Natal Province, South Africa as observed from a Kompsat-3 image acquired on 21 April 2022. Within the analyzed area, 270 ha of landslide scars were observed. Based on Worldpop population data, about 283,000 people live inside the analyzed area. Within the analysis extent, UNITAR-UNOSAT identified 506 damaged structures and 197 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
**ADAM ID: **sm\_us6000u2y1 Magnitude 5.7 earthquake at 10.0 depth occurred on Oct 17 2026 44km W of Kuzdar Tehsil. The epicentre of the earthquake was located at latitude 28.0179 longitude 66.1708. It impacted 114531 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.
**ADAM ID: **sm\_us6000u2mq Magnitude 6.9 earthquake at 143.176 depth occurred on Oct 16 2026 76 km NE of Ozernovskiy, Russia. The epicentre of the earthquake was located at latitude 52.0066 longitude 157.2499. It impacted 154 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.
**UNOSAT code: FL20220418ZAF** Landslide impact analysis in eThekwini, Metropolitan Municipality, This map illustrates satellite-detected water and landslides/mudflow in eThekwini, Metropolitan Municipality, eThekwini District, KwaZulu-Natal Province, South Africa as observed from a WorldView-3 image acquired on 20 April 2022. Within the analyzed area, 323 ha of landslide scars were observed. Based on Worldpop population data, about 570,000 people live inside the analyzed area. Within the analysis extent, UNITAR-UNOSAT identified 164 damaged/affeted structures and 79 potentially damaged structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
Información de aspectos fisiográficos de Perú. Información Cartográfica Básica generalizada a partir de los archivos de Carta Nacional Escala 1/100 000. Con períodos de actualización diferentes.
Affected wards, 10 October 2016 earthquake
This assessment of the radio stations in the areas affected by the Nepal earthquake includes information on station name, location, operating status, damage, and contact information.
This data contain of shake information caused by Earthquake M 6.2 - 32 km S of Mamuju, Indonesia (2.976°S 118.901°E) at 2021-01-14 18:28:18 (UTC)
This is an interferogram of the Hawaii magnitude 6.9 earthquake followed by multiple volcanic eruptions of Kilauea volcano. Data source is Sentinel 1A C-band Synthetic Aperture Radar Interferometric Wide Swath provided by the European Space Agency. Best viewed in Google Earth Pro.
A radar interferogram of the Magnitude 6.5 earthquake that hit Ormoc City Leyte last 6 July 2017. Data were processed using 2 Sentinel C-band Synthetic Aperture Radar data (Repeat Pass)