N: 60 S: -56 E: 180 W: -180
Description
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.
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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File Naming Convention
The file name begins with the latitude and longitude of the lower left corner of the tile (s01w047) followed by the File Extension/Variable (hgt).
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Publications Citing This Dataset
| Title | Authors | Year Sort ascending | Referenced Datasets |
|---|---|---|---|
| An automatic, rapid and continuous impervious surface mapping framework based on historical land cover datasets |
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| An assessment of aerial firefighting response times between agencies during the 2020 fire season in California |
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| Projected climate change impacts on the inflow of a Southeastern Brazilian hydropower reservoir |
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| Roads to Growth: Evidence From Rural China |
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| Reduced future summer water availability in the Tien Shan due to Glacier wastage |
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| Regional vs local LSTM models for short-term streamflow forecasting |
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| A 30 m Multi-Year Dataset of Major Crop Distributions in Xinjiang, China (20132024) Based on Harmonized LandsatSentinel-2 Data |
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| A geophysical investigation of the Roter Kamm impact crater, Namibia |
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| The Accuracy, Spatial Consistency, and Impact Factors of Global Cropland Products in Karst Landscapes: A Case Study of the YunnanGuizhou Plateau |
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| Spatiotemporal variations and driving forces of wind erosion and sand stabilization in the middle Heihe River Basin |
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| Tracking savanna vegetation structure in South Africa by extension of GEDI canopy metrics with Landsat, Sentinel-2, and PALSAR |
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| Three's Company: Human infrastructure and diminishing savannas |
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| Adaptive Fusion of Multiple Land-Cover Products for Improved Spatial |
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| Attribution of Seasonal and Interannual Turbidity Variations in Lake |
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| Assessing the heavy metal(loid) pollution risk potential in Chinese farmland soils: A spatially explicit and multi-source integrated framework |
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| A multi-scale assessment of topographic anisotropy on Land Surface Emissivity and Temperature retrieval over the Yarlung Tsangpo River basin |
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| A Semi-Empirical Method for Estimating All-Sky Photosynthetically Active |
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| DEMands of Precision: How DEM Resolution Shapes Various Flood |
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| Democratizing planetary-scale analysis: An ultra-lightweight Earth embedding database for accurate and flexible global land monitoring |
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| CLEAR: A Semantic-Geometric Terrain Abstraction for Large-Scale |
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| Climate-driven shifts in habitat representation and protected-area connectivity for the endangered Kashmir musk deer (Moschus cupreus) in the Kashmir Himalaya ... |
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| Chemical Consistency of GNN-Inferred High-Resolution NO2-O3 Fields: Surface Oxidant Partitioning in the Seoul Metropolitan Area-Gangwon Region |
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| Bias correction of ERA5-Land air temperature in remote tropical regions |
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| Identifying optimal subwatershed delineation thresholds using |
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| Hybrid MCDMIsolation Forest approach for spatiotemporal landslide mapping |
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Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| DEM | Void-filled DEM | Meters | int16 | N/A | -32767 to 32767 | N/A | N/A |
| NUM | Number of scenes | Class | uint8 | N/A | 0 to 255 | N/A | N/A |
| SWB | Updated SRTM water body data | Class | uint8 | N/A | 0 to 255 | N/A | N/A |