Elevation data

Jede Gemeinde hat nach dem Tiroler Raumordnungsgesetz 2011 durch Verordnung ein örtliches Raumordnungskonzept (ÖRK) zu erlassen. Darin sind unter anderem die Siedlungs- und Infrastrukturentwicklung in der Gemeinde abzubilden. Die Siedlungsentwicklung umfasst die Siedlungsentwicklungsgebiete nach der Gliederung, der zeitlichen Abfolge und der Intensität der baulichen Nutzung. Wieters festzulegen sind Gebiete mit Bauverbot, mit Verpflichtung zur Bebauungsplanung, mit textlichen Bebauungsregeln, Gebiete für die Baulandumlegungen erforderlich sind, Grundflächen für Vorbehaltsflächen für den geförderten Wohnbau, Siedlungsgrenzen und Grenzen innerhalb der Siedlungsentwicklungsflächen und Rückwidmungsflächen. Bei der Infrastrukturentwicklung sind der erforderliche Ausbau der infrastrukturellen Verkehrsentwicklung (fließender und ruhender, öffentlicher und Fußgänger- und Radverkehr), der sonstigen technischen Infrastruktur (Wasser- und Energieversorgung, Abwasserentsorgung, Informations- und Kommunikationsinfrastruktur, etc.) und der Ausbau der sozialen Infrastruktur (soziale, kulturelle, Bildungs-, Sporteinrichtungen, Kinderspielanlagen) festzulegen. Durch immer wiederkehrende ÖRK-Änderungen und ÖRK-Fortschreibungen werden diese Datensätze laufend aktualisiert. Link zu den Metadaten (Update: 16.10.2026 11:43Uhr)

Ausweisung von Jagdteilgebieten aufgrund von Feststellungsbescheiden durch die Jagdbehörde 1. Instanz und auf Basis des Tiroler Jagdgesetzes i.d.j.F.; Kategorien: 1. Eigenjagdgebiete (EJ), 2. Genossenschaftsjagdgebiete (GJ). Rechtsgültig sind nur die enstsprechenden Dokumente (Bescheide) der Jagdbehörde 1. Instanz.Der Jagdkataster ist dem INSPIRE Datenthema Bewirtschaftungsgebiete/Schutzgebiete/geregelte Gebiete und Berichterstattungseinheiten (Annex III) zugeordnet. Link zu den Metadaten (Update: 16.10.2026 10:50Uhr)

Aufgrund der Wasserrechtsgesetzes 1959 (WRG) § 34 kann die Behörde Gebiete zum Schutz von Versorgungsanlagen ausweisen. Größere Wasserschutzgebiete sowie vom Landeshauptmann verordnete Wasserschongebiete werden seit 1995 flächenhaft erfasst. Achtung: Es gibt unzählige per Bescheid festgelegte kleine Schutzgebiete, die nicht als Polygon erfasst sind. Diese "kleinen" Schutzgebiete sind nur durch den Subtyp "Quelle mit Schutzgebiet" bzw. "Grundwasseranlage mit Schutzgebiet" an der jeweiligen Versorgungsanlage ersichtlich. Die Wasserschutzgebiete sind dem INSPIRE Datenthema Bewirtschaftungsgebiete/Schutzgebiete/geregelte Gebiete und Berichterstattungseinheiten (Annex III) zugeordnet. Link zu den Metadaten (Update: 16.10.2026 10:56Uhr)

Informationen zur Lage, Größe und Art von Biotopen dienen der Situationsbeurteilung bei diversen Planungen und Verfahren. Deshalb wurde in den Jahren 1992 bis 1997 eine vegetationskundliche Kartierung im Tiroler Dauersiedlungsraumes unterhalb 1200 Höhenmeter durchgeführt. Kartierungsbasis war das Orthofoto 1:10.000.Seit 2004 wird die Biotopkartierung aktualisiert. Neuer Erfassungsmaßstab: 1 : 4000.Die Biotopkartierung ist dem INSPIRE Datenthema Lebensräume und Biotope (Annex III) zugeordnet. Link zu den Metadaten (Update: 16.10.2026 11:14Uhr)

The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Shuttle Radar Topography Mission (SRTM), which includes the global 1 arc second (~30 meter) number product. The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days. The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60° N and 56° S latitude to account for 80% of Earth's total landmass. Ancillary one-byte (0 to 255) "NUM" (number) files were produced for NASA SRTM Version 3. These files have names corresponding to the elevation files, except with the extension ".NUM" (such as N37W105.NUM). The elevation files use the extension ".HGT", meaning height (such as N37W105.HGT). The separate NUM file indicates the source of each DEM pixel; the number of ASTER scenes used (up to 100), if ASTER; and the number of SRTM data takes (up to 24), if SRTM. The global 1 arc second number product is also available in NetCDF4 format as the SRTMGL1_NUMNC dataset and can be used with the corresponding SRTMGL1_NC elevation product. Known Issues * Known issues in the NASA SRTM are described in the following publication: * Rodriguez, E., C. S. Morris, and J. E. Belz (2006), A global assessment of the SRTM performance, Photogramm. Eng. Remote Sens., 72, 249–260. https://doi.org/10.14358/PERS.72.3.249

Urban 50cm contour map image layer published by connor.spence_UHCC, with keywords naming Upper Hutt City Council and Wellington.

Europe - Height model Terrain is a digital height model over Europe. The height model includes definitions of terrain heights, and is part of Open Maps for Europe, which offers free map solutions from more than 40 European countries.

Galway County Landscape Sensitivity Ratings. Produced as part of the Galway County Development Plan 2022-2028.  See www.galway.ie for further details.   A landscape’s capacity to absorb new development, without exhibiting a significant alteration of character or change of appearance is referred to as it’s ‘sensitivity’. This depends on factors such as elevation, slope, as well as the types of land-cover and soil. Landscape sensitivity increases when one or more of these factors occur in the same place. e.g. development on a steep heather-covered elevated site on shallow soils is highly likely to be visually prominent over a wide area Arising from this analysis the following Sensitivity Ratings have been defined. Class 1 – Low Class 2 – High Class 3 – Special Class 4 – Iconic Galway County Council provides this information with the understanding that it is not guaranteed to be accurate, correct, or complete. Galway County Council accepts no liability for any loss or damage suffered by those using this data for any purpose.

Altimetria interpolata dal DTM ortofoto 2000 passo 40. Equidistanza 10 mt. (Scala di visualizzazione >= 1:150.000 )

Jede Gemeinde hat nach dem Tiroler Raumordnungsgesetz 2011 durch Verordnung ein örtliches Raumordnungskonzept (ÖRK) zu erlassen. Darin sind unter anderem jene Flächen auszuweisen, die von einer Verbauung freizuhalten (Freihalteflächen) sind. Es gibt Landwirtschaftliche, Forstliche, Landschaftlich wertvolle, Ökologisch wertvolle, sonstige Freihalteflächen und Freihalteflächen für Freizeit-, Sport- und Erholungsnutzung, welche in diesem Datensatz dargestellt werden. Durch immer wiederkehrende ÖRK-Änderungen und ÖRK-Fortschreibungen werden die Daten laufend aktualisiert. Link zu den Metadaten (Update: 16.10.2026 11:35Uhr)

This group includes the following items:  1. Hampton Roads Elevation Certificate Building Footprints: includes only building footprints where final elevation certificates are available, with elevations reported in the vertical datum provided on the elevation certificate (NGVD 29 or NAVD 88).   2. Hampton Roads Elevation Certificate Parcels: includes only parcels where final elevation certificates are available, with elevations reported in the vertical datum provided on the elevation certificate (NGVD 29 or NAVD 88).  Where necessary, conversions from NGVD 1929 to NAVD 1988 were completed using the VERTCON (NOAA NGS, 2019).  Elevation certificates were collected from the following 12 localities: Chesapeake, Franklin, Gloucester County, Hampton, James City County, Newport News, Norfolk, Portsmouth, Southampton County, Suffolk, Virginia Beach, and York County. Localities included in the current inventory were able to provide digital elevation certificate copies. This inventory is not complete for the region, and elevation certificates will continue to be added to the database when available. The elevation certificate database was developed by HRPDC staff with support from the Center for Geospatial, Science, Education, and Analytics at Old Dominion University (ODU). We would like to acknowledge Manuel Solano (ODU) for his contributions to the Gloucester County and City of Norfolk elevation certificate data development. Building footprints are courtesy the VGIN statewide building footprints layer and locality GIS departments. Building attributes and parcels are courtesy of the Hampton Roads Regional Parcels layer and locality GIS departments. Current flood zones are courtesy of the FEMA National Flood Hazard Layer, with base flood elevations reported in NAVD 1988 where available. A complete list of attribute descriptions is available here.  Created 2/8/2019Updated 10/10/2020

Digital Elevation Model (DEM) of Kenya showing the terrain surface elevation above sea level. Each pixel represents the elevation in metres. Use this layer for terrain analysis, slope and aspect mapping, watershed delineation, flood modelling, infrastructure siting, and visibility analysis.

Jede Gemeinde hat nach dem Tiroler Raumordnungsgesetz 2011 durch Verordnung ein örtliches Raumordnungskonzept (ÖRK) zu erlassen. Darin sind unter anderem die Siedlungs- und Infrastrukturentwicklung in der Gemeinde abzubilden. Die Siedlungsentwicklung umfasst die Siedlungsentwicklungsgebiete nach der Gliederung, der zeitlichen Abfolge und der Intensität der baulichen Nutzung. Wieters festzulegen sind Gebiete mit Bauverbot, mit Verpflichtung zur Bebauungsplanung, mit textlichen Bebauungsregeln, Gebiete für die Baulandumlegungen erforderlich sind, Grundflächen für Vorbehaltsflächen für den geförderten Wohnbau, Siedlungsgrenzen und Grenzen innerhalb der Siedlungsentwicklungsflächen und Rückwidmungsflächen. Bei der Infrastrukturentwicklung sind der erforderliche Ausbau der infrastrukturellen Verkehrsentwicklung (fließender und ruhender, öffentlicher und Fußgänger- und Radverkehr), der sonstigen technischen Infrastruktur (Wasser- und Energieversorgung, Abwasserentsorgung, Informations- und Kommunikationsinfrastruktur, etc.) und der Ausbau der sozialen Infrastruktur (soziale, kulturelle, Bildungs-, Sporteinrichtungen, Kinderspielanlagen) festzulegen. Durch immer wiederkehrende ÖRK-Änderungen und ÖRK-Fortschreibungen werden diese Datensätze laufend aktualisiert. Link zu den Metadaten (Update: 16.10.2026 11:42Uhr)

Fire Retardant Detection This is an EXPERIMENTAL, UNVALIDATED data product under active development. It is provided as-is. No guarantee is made as to the accuracy or completeness of the detections. Retardant may be missed entirely, and spectrally similar surfaces may produce elevated scores. Product: retardant detection score, unitless. Higher values indicate greater likelihood of retardant presence. Values are relative, not physical units. Files are mosaics, with all acquisition chunks covering a given flightbox combined into a single mosaicked GeoTiff. Orthorectified with a 30 m DEM. Geolocation error is larger over rugged terrain due to the coarse DEM. Resolution varies from scene to scene. Files are provided as 32-bit floating point values, as Cloud Optimized GeoTiffs, in WGS 84 / Pseudo-Mercator projection. Caveats and Limitations: These results are intended to support rapid emergency response. All information is provisional for use under emergency response guidelines. These data are provided with absolutely no warranty of any kind. Use at your own risk. These are PRELIMINARY data products generated for rapid response. POCs: Adam Chlus (adam.chlus@jpl.nasa.gov) Philip Brodrick (philip.brodrick@jpl.nasa.gov)

The Danish Height Model 2015 is a comprehensive data collection that provides detailed historical information about the altitude conditions in Denmark.

Jede Gemeinde hat nach dem Tiroler Raumordnungsgesetz 2011 durch Verordnung ein örtliches Raumordnungskonzept (ÖRK) zu erlassen. Darin sind unter anderem jene Flächen auszuweisen, die von einer Verbauung freizuhalten (Freihalteflächen) sind. Es gibt Landwirtschaftliche, Forstliche, Landschaftlich wertvolle, Ökologisch wertvolle, sonstige Freihalteflächen und Freihalteflächen für Freizeit-, Sport- und Erholungsnutzung, welche in diesem Datensatz dargestellt werden. Durch immer wiederkehrende ÖRK-Änderungen und ÖRK-Fortschreibungen werden die Daten laufend aktualisiert. Link zu den Metadaten (Update: 16.10.2026 11:38Uhr)

Jede Gemeinde hat nach dem Tiroler Raumordnungsgesetz 2011 durch Verordnung ein örtliches Raumordnungskonzept (ÖRK) zu erlassen. Darin sind unter anderem die Siedlungs- und Infrastrukturentwicklung in der Gemeinde abzubilden. Die Siedlungsentwicklung umfasst die Siedlungsentwicklungsgebiete nach der Gliederung, der zeitlichen Abfolge und der Intensität der baulichen Nutzung. Wieters festzulegen sind Gebiete mit Bauverbot, mit Verpflichtung zur Bebauungsplanung, mit textlichen Bebauungsregeln, Gebiete für die Baulandumlegungen erforderlich sind, Grundflächen für Vorbehaltsflächen für den geförderten Wohnbau, Siedlungsgrenzen und Grenzen innerhalb der Siedlungsentwicklungsflächen und Rückwidmungsflächen. Bei der Infrastrukturentwicklung sind der erforderliche Ausbau der infrastrukturellen Verkehrsentwicklung (fließender und ruhender, öffentlicher und Fußgänger- und Radverkehr), der sonstigen technischen Infrastruktur (Wasser- und Energieversorgung, Abwasserentsorgung, Informations- und Kommunikationsinfrastruktur, etc.) und der Ausbau der sozialen Infrastruktur (soziale, kulturelle, Bildungs-, Sporteinrichtungen, Kinderspielanlagen) festzulegen. Durch immer wiederkehrende ÖRK-Änderungen und ÖRK-Fortschreibungen werden diese Datensätze laufend aktualisiert. Link zu den Metadaten (Update: 16.10.2026 11:35Uhr)

A lidar-derived digital terrain model raster for Stepping Stones, published by the National Trust. Cell values represent ground elevation from the masked, merged terrain surface.

Jede Gemeinde hat nach dem Tiroler Raumordnungsgesetz 2011 durch Verordnung ein örtliches Raumordnungskonzept (ÖRK) zu erlassen. Darin sind unter anderem jene Flächen auszuweisen, die von einer Verbauung freizuhalten (Freihalteflächen) sind. Es gibt Landwirtschaftliche, Forstliche, Landschaftlich wertvolle, Ökologisch wertvolle, sonstige Freihalteflächen und Freihalteflächen für Freizeit-, Sport- und Erholungsnutzung, welche in diesem Datensatz dargestellt werden. Durch immer wiederkehrende ÖRK-Änderungen und ÖRK-Fortschreibungen werden die Daten laufend aktualisiert. Link zu den Metadaten (Update: 16.10.2026 11:37Uhr)

Servizio di base cartografico che utilizza lo shade del DEM con Ortofoto 2014

Accurately surveyed coordinate location used to maintain survey control during acquistion of various products for Kentucky's Aerial Photography and Elevation Data program. https://ky.box.com/v/kymartian-gcp-phase2

This layer portrays elevation as an artistic hillshade. The map is designed to be used as a backdrop for topographical, soil, hydro, landcover or other outdoor recreational maps. It’s a default relief background in various basemaps such as Topographic, Terrain with Labels. The map is compiled from a variety of data sources from commercial, community maps and many authoritative organizations across the globe. The basemap has global coverage down to a scale of ~1:72k. In the United States, parts of Europe, Asia and Africa coverage goes down to ~1:9k.  To see the coverage and sources of various datasets comprising this map layer, view the World Elevation Coverage Map. Additionally, this layer uses data from Vantor’s Precision 3D Digital Terrain Models for parts of the globe. The map is based on the Multi-directional hillshade algorithm.

Shuttle Radar Topographic Mission (SRTM) global 5 degree tile reference.

CAR Shapefile Contour line - Equidistant 10m

District Swat Terrain Modelling & Land Cover Database

**UNOSAT code FL20230508COD, GDACS Id: 1101981** Cette carte illustre l'étendue des glissements de terrain le 07 mai 2023 en Territoire de Kalehe, Province du Sud-Kivu, République Démocratique du Congo. Dans la zone analysée de 9,000 ha, environ 90 ha d'escarpements de glissements de terrain sont visibles. Ceci est une analyse préliminaire et n'a pas été validée sur le terrain. Merci d'envoyer vos commentaires au Centre Satellitaire des Nations Unies (UNOSAT).

This dataset is of simplified geometries from COD live services deployed September 2019. Simplification methods applied from ESRI libraries using Python, Node.js and Mapshaper.js and based on adapted procedures for best outcomes preserving shape, topology and attributes. These data are not a substitute for the original COD data sets used in GIS applications. No warranties of any kind are made for any purpose and this dataset is offered as-is. Versions of topojson, kml and csv are also available. For a list of other simplified CODs see the address list: https://github.com/UGA-ITOSHumanitarianGIS/mapservicedoc/raw/master/Data/AWSDeploymentURLlist.xlsx

This dataset is of simplified geometries from COD live services deployed September 2019. Simplification methods applied from ESRI libraries using Python, Node.js and Mapshaper.js and based on adapted procedures for best outcomes preserving shape, topology and attributes. These data are not a substitute for the original COD data sets used in GIS applications. No warranties of any kind are made for any purpose and this dataset is offered as-is. Versions of topojson, kml and csv are also available. For a list of other simplified CODs see the address list: https://github.com/UGA-ITOSHumanitarianGIS/mapservicedoc/raw/master/Data/AWSDeploymentURLlist.xlsx

Goddard’s LiDAR, Hyperspectral, and Thermal Imagery (G-LiHT) mission is a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Trajectory data product (GLTRAJECTORY) is to provide aircraft location and orientation to support and supplement other G-LiHT data products. GLTRAJECTORY data are processed as a Google Earth overlay Keyhole Markup Language (KML) file over the extent of an entire flight path. A low resolution browse is also provided to show the flight path.

Goddard’s LiDAR, Hyperspectral, and Thermal Imagery (G-LiHT) mission is a portable, airborne imaging system that aims to simultaneously map the composition, structure, and function of terrestrial ecosystems. G-LiHT primarily focuses on a broad diversity of forest communities and ecoregions in North America, mapping aerial swaths over the Conterminous United States (CONUS), Alaska, Puerto Rico, and Mexico. The purpose of G-LiHT’s Digital Surface Model data product (GLDSMT) is to provide LiDAR-derived visualizations of elevation above bare earth. GLDSMT data is offered in multiple formats, including Digital Surface Model, Mean, Aspect, Rugosity, and Slope. GLDSMT data are processed as multiple raster data products (GeoTIFFs) at a nominal 1 meter spatial resolution over locally defined areas. A low resolution browse is also provided showing the digital surface model with a color map applied in PNG format.

Suitable areas for the construction of fish ponds based on a slope evaluation. Slope was derived from a global digital elevation model (GTOPOP30) in the form of percentages. **Data publication:** 1998-01-01 **Supplemental Information:** This map derives from a wider study that evaluates inland fish farming potential at a continental-level, published by J.Aguilar-Manjarrez and S. S. Nath with the title "A strategic reassessment of fish farming potential in Africa" . CIFA Technical Paper. No. 32. Rome, FAO. 1998. 170p. This study is a follow-up of an earlier assessment of warm-water fish farming potential in Africa by Kapetsky (1994) with the objective to assess locations and areal expanses that have potential for warm-water and temperate-water fish farming in continental Africa. Resolution 5 km x 5 km. **Contact points:** Metadata Contact: [Jose Aguilar-Manjarrez](mailto:Jose.AguilarManjarrez@fao.org) **Data lineage:** Conversion from ASCII files to Arc/Info GRID **Online resources:** Slope suitability for ponds (GRID format) CIFA Tecnical Paper 32 CIFA Tecnical Paper 32 - 8. APPENDIX iiasa.ac.at

The delivery of all Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS science data products will cease on November 2, 2026 (2026/306). Data users are encouraged to transition to the equivalent VJ228C2 (primary) or VJ128C2 (secondary) data products. The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Water Reservoir 8-day Level 3 (L3) Global (VNP28C2) Version 2 product provides current data for 151 man-made reservoirs and 13 regulated natural lakes for a total of 164 reservoirs. The VNP28C2 data product provides an 8-day time series of surface area, elevation, and water storage. Datasets are combined with pre-established Area-Elevation (A-E) curves and image classifications of near-infrared (NIR) reflectance from the surface reflectance product acquired by the VIIRS satellite (VNP09H1). The VNP28C2 data product consists of a single variable with information about the reservoir identifier, dam location (longitude and latitude), reservoir surface area, elevation, and water storage capacity. Known Issues * Water occurrence images generally show smaller surface area dynamics in high latitude regions, creating pixels with low occurrence values that have relatively large uncertainties. In addition, the quality of raw water area classification can be affected by lake ice coverage typically creating an overestimation of surface area in the enhancement algorithm. This issue will be addressed in a future release of the enhancement algorithm. For additional information about known issues, refer to the User Guide.

The Visible Infrared Imaging Radiometer Suite (VIIRS) Moderate Resolution Terrain Correction Geolocation (VJ103MODLL) Version 2.1 product from the NOAA-20 VIIRS sensor is produced in 6 minute temporal satellite increments (swaths) at 750 meter resolution. Intersecting the VIIRS line of sight vector with Earth’s geoid and the World Geodetic System (WGS) ellipsoid, this product is based on the SRTM30 Version 2 digital elevation model (DEM), which uses GTOPO30 data for areas from 60° North to 60° South. VJ103MODLL is a terrain correction geolocation product that provides the spatial location for various VIIRS data products. Each swath of data is approximately 3,060 kilometers along track (long) and 3,060 kilometers across track (wide). Provided in the VJ103MODLL product are variables for height, latitude, and longitude. These Science Data Sets (SDS) variables are used in conjunction with the (VJ114) swath product for accurate geolocation information. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.

The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) data contains calibrated at-sensor radiance, which corresponds with the ASTER Level 1B (AST_L1B) that has been geometrically corrected and rotated to a north-up UTM projection. The AST_L1T is created from a single resampling of the corresponding ASTER L1A (AST_L1A) product. The bands available in the AST_L1T depend on the bands in the AST_L1A and can include up to three Visible and Near Infrared (VNIR) bands, six Shortwave Infrared (SWIR) bands, and five Thermal Infrared (TIR) bands. The AST_L1T dataset does not include the aft-looking VNIR band 3. The AST_L1T product has a spatial resolution of 15 meters (m) for the VNIR bands, 30 m for the SWIR bands, and 90 m for the TIR bands. The precision terrain correction process incorporates GLS2000 digital elevation data with derived ground control points (GCPs) to achieve topographic accuracy for all daytime scenes where correlation statistics reach a minimum threshold. Alternate levels of correction are possible (systematic terrain, systematic, or precision) for scenes acquired at night or that otherwise represent a reduced quality ground image (e.g., cloud cover). For daytime images, if the VNIR or SWIR telescope collected data and precision correction was attempted, each precision terrain corrected image will have an accompanying independent quality assessment. It will include the geometric correction available for distribution as both a text file and single band browse images with the valid GCPs overlaid. This multi-file product also includes georeferenced full resolution browse images. The number of browse images and the band combinations of the images depends on the bands available in the corresponding AST_L1A dataset. Known Issues * TIR bands: Acquisitions for TIR bands ended on January 16, 2026, at 05:10:45 UTC, when the ASTER TIR instrument was permanently turned off due to power limitations on the Terra spacecraft. More information is available in this NASA Science News Brief. * Data acquisition gaps: On November 28, 2024, one of Terra's power-transmitting shunt units failed. As a result, there was insufficient power to maintain functionality of the ASTER instrument. ASTER resumed acquisitions for the VNIR bands on January 18, 2025, and for the TIR bands on April 15, 2025. Users should note the data gap in ASTER acquisitions from November 28, 2024, through January 16, 2025, for VNIR observations, and a gap from November 28, 2024, through April 15, 2025, for TIR acquisitions. * Zero values: Since October 1, 2017, a correction addresses zero-filled scans in low-latitude, ascending orbit (nighttime) TIR data. Additional details are available in the ASTER L1T User Advisory. * SWIR bands: ASTER SWIR detectors are no longer functioning as of January 12, 2009, due to anomalously high SWIR detector temperatures. * SWIR anomaly: Users are advised that ASTER SWIR data acquired from April 2008 to January 11, 2009, exhibit anomalous saturation of values and anomalous striping. This effect is also present for some prior acquisition periods. Please refer to the ASTER SWIR User Advisory for more details.

The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Digital Elevation Model (DEM) version 1 (NASADEM_HGT) dataset, which provides global elevation data at 1 arc second spacing. NASADEM data products were derived from original telemetry data from the Shuttle Radar Topography Mission (SRTM), a collaboration between NASA and the National Geospatial-Intelligence Agency (NGA), as well as participation from the German and Italian space agencies. SRTM's primary focus was to generate a near-global DEM of the Earth using radar interferometry. It was a primary component of the payload on space shuttle _Endeavour_ during its STS-99 mission, which was launched on February 11, 2000, and flew for 11 days. In addition to Terra Advanced Spaceborne Thermal and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) Version 2 data, NASADEM also relied on Ice, Cloud, and Land Elevation Satellite (ICESat) Geoscience Laser Altimeter System (GLAS) ground control points of its lidar shots to improve surface elevation measurements that led to improved geolocation accuracy. Other reprocessing improvements include the conversion to geoid reference and the use of GDEMs and Advanced Land Observing Satellite Panchromatic Remote-sensing instrument for Stereo Mapping (PRISM) AW3D30 DEM, and interpolation for void filling. NASADEM are distributed in 1 degree latitude by 1 degree longitude tiles and consist of all land between 60° N and 56° S latitude. This accounts for about 80% of Earth's total landmass. NASADEM_HGT data product layers include DEM, number of scenes (NUM), and an updated SRTM water body dataset (water mask). The NUM layer indicates the number of scenes that were processed for each pixel and the source of the data. A low-resolution browse image showing elevation is also available for each NASADEM_HGT granule. The global 1 arc second NASADEM product is also available in NetCDF4 format as the NASADEM_NC dataset with the source of each elevation pixel in the corresponding NASADEM_NUMNC product.

The Land Processes Distributed Active Archive Center (LP DAAC) is responsible for the archive and distribution of NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) SRTM, which includes the global 30 arc second (~1,000 meter) product. The NASA SRTM product with sample spacing of 3 arc second (~90 meter) generated by a 3 X 3 averaging of the 1 arc second data are then 10 X 10 averaged to produce thirty 30 arc second (~1,000 meter) data to correspond with Global 30 Arc Second Elevation (GTOPO30). (See the User Guide Section 2.1.4) The NASA SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Geospatial-Intelligence Agency (NGA - previously known as the National Imagery and Mapping Agency, or NIMA), as well as the participation of the German and Italian space agencies. This collaboration aims to generate a near-global digital elevation model (DEM) of Earth using radar interferometry. SRTM was the primary (and virtually only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days. The SRTM swaths extended from ~30 degrees off-nadir to ~58 degrees off-nadir from an altitude of 233 kilometers (km), creating swaths ~225 km wide, and consisted of all land between 60° N and 56° S latitude to account for 80% of Earth's total landmass. Known Issues * SRTMGL30 is Version 2.1 and has not been updated for the NASA SRTM V3.0 release as described in the User Guide. * Known issues in the NASA SRTM are described in the following publication: * Rodriguez, E., C. S. Morris, and J. E. Belz (2006), A global assessment of the SRTM performance, Photogramm. Eng. Remote Sens., 72, 249–260. https://doi.org/10.14358/PERS.72.3.249