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Line features representing undetermined boundaries in Somalia, each tagged with an administrative level and validity dates. Published by Orion Terrametrics.
Records hydraulic hazard (pericolosità idraulica) for the Torrente Tribio as features, published by Regione Umbria's SIAT. Coverage is in Italy.
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/
The Cooperative Open Online Landslide Repository (COOLR) contains citizen science data from Landslide Reporter Catalog (LRC), data from NASA’s Global Landslide Catalog (GLC), NASA manually or automatically digitized landslides, and other inventories contributed by the research community. These are sorted into two main layers, "coolr_reports" and "coolr_events". The layers are further differentiated into a point or polygon layer, named accordingly. Within these layers, the user can further query out the manual or automated landslide inventories, events of a certain date, event triggers, and more. Each feature has a “title” in the attribute table with the digitization method, location, and event date (written as YYYY-MM-DD). The citation for each event inventory is located within the attribute table field “citation”. See the methods section for further detail about manual vs automatic landslide detection. For more information about the fields, see the How-to-Guide documentation under the “Trainings” tab at https://landslides.nasa.gov and the publications below. The citation for each event inventory is located within the attribute table field “citation”. If you utilize this inventory, please reference each citation of the event(s) used. For example, if you use the entire inventory layer, please reference all the event citations contained within the layer. If you use just the events past a certain date, or another subset of the layer, please query those citations out and reference those. In addition, a CSV containing all citations can be found on the download page: https://maps.nccs.nasa.gov/arcgis/apps/MapAndAppGallery/index.html?appid=574f26408683485799d02e857e5d9521. Methods We use 'landslide' as a general term to represent all event types. The catalog differentiates between landslide types when the information is available in the ls_type field. Manually digitized landslides (method = Manual): These are hand-digitized landslide points or polygons, created by NASA scientists or contributed by other institutions. They are created on a case-by-case basis, depending on time and resources, or if there is an event where a partner requests it. The ability to hand-digitize depends on the availability of high-resolution cloud-free imagery, ideally before and after the event. Depending on the event size, location, and the satellite overpass, imagery from multiple dates may be used. For points, the scientist tries to identify where the initiation zone of each landslide is using an elevation layer. For polygons, the initiation zone is not differentiated. Automatically digitized landslides (method = Automatic): The open-source Semi-Automatic Landslide Detection (SaLaD) system was created to rapidly map landslides. SALaD uses object-based image analysis and machine learning to detect landslides from optical imagery. To successfully detect landslides, cloud-free imagery from before and after an event is needed, in addition to training data from that region or a region nearby. The raw polygon output of this system can be useful for situational awareness, but it will require manual corrections to weed out false positives for other use cases. Once that is done, initiation points can be created using a DEM. For Further Reference Landslides.nasa.gov Amatya, P., Kirschbaum, D., Stanley, T., and Tanyas, H. (2021). Landslide mapping using object-based image analysis and open source tools. Engineering Geology. 282. doi: 10.1016/j.enggeo.2021.106000. Amatya, P., Kirschbaum, D., and Stanley, T. (2021). Rainfall-induced landslide inventories for Lower Mekong based on Planet imagery and a semi-automatic mapping method. Geoscience Data Journal. doi: 10.1002/gdj3.145. Juang CS, Stanley TA, and Kirschbaum DB (2019) Using citizen science to expand the global map of landslides: Introducing the Cooperative Open Online Landslide Repository (COOLR). PLOS ONE. 14(7): e0218657. doi: 1371/journal.pone.0218657. Kirschbaum, D.B., Stanley, T., & Zhou, Y. (2015). Spatial and temporal analysis of a global landslide catalog. Geomorphology, 249, 4-15. doi:10.1016/j.geomorph.2015.03.016 Kirschbaum, D.B., Adler, R., Hong, Y., Hill, S., & Lerner-Lam, A. (2010). A global landslide catalog for hazard applications: method, results, and limitations. Natural Hazards, 52, 561-575. doi:10.1007/s11069-009-9401-4
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
Kalibreringsdata fra DKmodel2019. DKmodel2019 opsætning og kalibrering er beskrevet i GEUS rapporterne 2019/31 (https://doi.org/10.22008/gpub/32631). Maria OndracekAkademisk medarbejder, Civilingeniør E-mail: mon@geus.dkPhone (+45) 9133 3607 Hydrologisk afdelingDe Nationale Geologiske Undersøgelser for Danmark og Grønland (GEUS)Øster Voldgade 10, DK-1350 Copenhagen Khttps://www.geus.dkE-mail: geus@geus.dk Telefon: 38 14 20 00
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
Valori di ag puntuali con tempo di ritorno di 475 anni
Kort over israndslinjer og lokaliteter i Skandinavien. Kortet viser den gradvise afsmeltning af den skandinaviske iskappe i sidste istid. Kortet er udarbejdet i 1995 og består af polygoner der viser iskappens udbredelse i 5 perioder, recente iskapper, lokaliteter, DeGeerMoræner, israndslinjer og hypotetiske israndslinjer. Kortet er fremstillet til visning i 1:1 million og indgår som en del af bogen "Israndslinjer i Norden" udgivet af Nordisk Ministerråd i TemaNord 1998:584. Denne datasamling indeholder kun data for Skandinavien, Island er i en separat datasamling.
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/
This dataset contains spatial data from a 2012 audit of the geological sites of Roscommon. The audit was conducted by Matthew Parkes, Robert Meehan, and Sophie Préteseille with assistance from Roscommon County Council and funding from the Heritage Council and Roscommon County Council. Dataset Publisher: Roscommon County Council, Dataset language: English, Spatial Projection: Web Mercator, Date of Creation: 2012, Update Frequency: As Required, Roscommon County Council provides this information with the understanding that it is not guaranteed to be accurate, correct or complete. Roscommon County Council accepts no liability for any loss or damage suffered by those using this data for any purpose.
Vincolo idrogeologico ( R.D. 3267/1923) . Riferimento Tav. n.44 del Piano Urbanistico Territoriali L.R.27/2000 "Inventario dei movimenti franosi e dei siti storicamente colpiti da dissesto e inondazioni" . Scala 1:100.000
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
Pedological regions, published by Regione Umbria SIAT as a feature layer. Covers the Umbria region of Italy.
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.
The ASTER Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) data are obtained from the USGS webpage https://earthexplorer.usgs.gov/ in the time period of 2000-2007. Scenes were also limited to summer and captured in daytime. Preprocessing of the Aster scenes encompasses atmospheric, radiometric and topographic corrections before masking non-outcrop pixels and generating the final mosaic. The calibrated radiance data is converted to apparent surface reflectance using a radiative transfer program, Atmospheric and Topographic Correction (ATCOR-3), in rugged terrain mode. The ATCOR rugged terrain mode utilizes a surface elevation model to adjust illumination levels. Calibration and adjusting the apparent surface reflectance values from the ATCOR-3 processing was not feasible due to lack of ground-based reflectance measurements.
Dette datasæt udstiller tykkelseskort over Holocæne og senglaciale aflejringer i danske havområder. Kortene er udarbejdet af GEUS i samarbejde med NIRAS og Miljøstyrelsen som led i Energistyrelsens geologiske screening for storskala havvind. Formålet med datasættet er at give et detaljeret geologisk grundlag, der kan understøtte planlægningen af havvindprojekter i Danmark. De udstillede kort viser variationer i aflejringernes tykkelse og udgør en central reference i NIRAS’ følsomhedsstudie, som vurderer havområders egnethed til etablering af vindenergi. Datasættet præsenteres gennem en dedikeret GEUS-webportal og indgår som et officielt GEUS-produkt. Portalen fungerer både som udstillingsvindue for de endelige geologiske data og som et fagligt referencepunkt i forbindelse med NIRAS’ digitale rapportering.
Records active mines in the Umbria region as of 2022, published by Regione Umbria. Each feature represents an active mine. Covers Umbria, Italy.
Seismic classification of the regional territory, published by Regione Umbria SIAT as a feature layer. Covers the Umbria region of Italy.
The landslide susceptibility map for current climate conditions highlights regions vulnerable to landslides caused by earthquakes or precipitation. This map was derived by combining the two susceptibility layers described below: for each cell, the highest value between the two was selected. Classes 2 and 3 are categorized as "Moderate", and classes 4 and 5 as "High". Class 1 denotes no susceptibility and is not shown. 1) The earthquake-induced landslide susceptibility map indicates the areas of the world that are more prone to landslides triggered by earthquakes. The landslide susceptibility is based on the model developed by NGI (Nadim et al., 2006, 2013; Jaedicke et al., 2013) but with improvements and refinements. The earthquake-induced landslides susceptibility map classifies the terrain into five susceptibility classes by combining slope, vegetation, lithology, and soil moisture information from global datasets. The weights of different susceptibility factors were calibrated to the information available in landslide inventories and physical processes. 2) The precipitation-induced landslide susceptibility map for the existing climate indicates the areas of the world that are more prone to landslides in the current climate conditions. The landslide susceptibility is based on the model developed by NGI (Nadim et al., 2006, 2013; Jaedicke et al., 2013) but with improvements and refinements. The precipitation-induced landslides susceptibility map for the current climate classifies the terrain into five susceptibility classes by combining slope, vegetation, lithology, and antecedent rainfall information from global datasets. Antecedent rainfall information has been obtained from the W5E5 dataset for the period 1979-2016. The weights of different susceptibility factors were calibrated to the information available in landslide inventories and physical processes. Note: This layer represents landslide susceptibility and not landslide hazard. It does not incorporate triggering factors (e.g., earthquake ground motion or rainfall intensity/return periods). Hazard can only be derived by combining susceptibility with a defined trigger scenario. The map has a resolution of 3 arc-sec. (~93 meters at the equator; east–west distance decreases with latitude). Background paper: A new model for global landslide susceptibility assessment and scenario-based hazard assessment (2003) Rosa M. Palau, Farrokh Nadim, Eivind Paulsen, Erlend Storrøsten https://giri.unepgrid.ch/sites/default/files/2023-06/20230615-NGI_manuscript_GIRI_landlside_hazard_model.pdf Release date: Sun Apr 30 2023 The layer was clipped to the geographic boundaries of 1) IDB Borrowing Member Countries, 2) Caribbean Development Bank (CDB) Borrowing Countries, 3) Organization of Eastern Caribbean States (OECS) Member Countries. VECTORIZED VERSION AVAILABLE HERE: Landslide Susceptibility
Classificazione del territorio in base alla pericolosità sismica - Elementi puntuali
Point features representing exploration wells, with attributes including rig name, area, well class, operator, well number and spud date. Published by the Department of Climate, Energy and the Environment and covering Ireland.
Dette datasæt udstiller tykkelseskort over Holocæne og senglaciale aflejringer i danske havområder. Kortene er udarbejdet af GEUS i samarbejde med NIRAS og Miljøstyrelsen som led i Energistyrelsens geologiske screening for storskala havvind. Formålet med datasættet er at give et detaljeret geologisk grundlag, der kan understøtte planlægningen af havvindprojekter i Danmark. De udstillede kort viser variationer i aflejringernes tykkelse og udgør en central reference i NIRAS’ følsomhedsstudie, som vurderer havområders egnethed til etablering af vindenergi. Datasættet præsenteres gennem en dedikeret GEUS-webportal og indgår som et officielt GEUS-produkt. Portalen fungerer både som udstillingsvindue for de endelige geologiske data og som et fagligt referencepunkt i forbindelse med NIRAS’ digitale rapportering.
NOTE: this is exercise data and not representative of real events. The original data is from the earthquake in Turkey February 2023. 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
Geological units of the Umbria region, published by Regione Umbria's SIAT as a feature service. Each feature represents a mapped geological unit.
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
Il servizio rende disponibile in formato raster 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
Prækvartært kort over Bornholm. Udgivet i VARV 1977. Kortlayoutet blev udarbejdet af Helge Gry i 1960 og 1969. Kortlayoutet blev udarbejdet af Helge Gry i 1960 og 1969. ENGLISH Pre-Quaternary map for Bornholm. Published in VARV 1977. The layout for the map was prepared by Helge Gry in 1960 and 1969. Layout for the map was prepared by Helge Gry in 1960 and 1969.
Strato informativoa geometria poligonale delle aree a pericolosità da dissesti di natura geomorfologica relative al PAI dissesti adottato con Delibera CIP n. 39 del 28/03/2024 relativamente alla UoM ARNO. Vengono individuate 4classi a Pericolosità crescente (P2a, P3a, P3be P4) alle quali sono associati specifici indirizzi normativi. Per ulteriori informazione riguardanti il PAI dissesti si rimanda alla pagina web dell'ente. Per quanto riguarda il significato degli attributi del feature layer si rimanda scheda relativa alla struttura del database.
Microsoft AI for Good Lab ran their damage assessment AI models in Catia La Mar.
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/