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).
Documents
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| A Novel Deep Learning Framework combining optical-SAR Data to Generate Gap-Free 20 M LAI Time Series for Crop Monitoring | Li, Juan, Ienco, Dino, Gaetano, Raffaele, Ciotola, Matteo, Mateo-Herrera, Blanca, Xiao, Zhiqiang, Weiss, Marie | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Land Surface Temperature Shows Negligible Difference Between Inside and | Duan, Chunhui, Han, Cunbo, Hu, Wei, Liu, Jiawei, Ma, Yaoming | Albedo, Anisotropy, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Decadal Erosion Rates and Sediment Buffering Identified Through Enhanced | Kumar, Gopal, Chan, YuChang, Sun, ChengWei, Chen, ChihTung | RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM) | |
| Decision-grade risk and cost mapping for illegal gold mining at Crucitas, Costa Rica: prioritisation, phased remediation portfolios, and uncertainty-aware policy ranking | Jimenez, Andrea Navarro | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| CADF-Net: A Conflict-Aware Adaptive Distillation Network for Fusing Multi-Source Land-Cover Products for Key Vegetation Classes in Cross-Border Regions | Zhang, Yubo, Fu, Long, Li, Zehong, Yang, Yuanyuan, Chen, Hongbing, Zhang, Shuwen | Land Use/Land Cover Classification, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Coastal groundwater-level trends reveal global susceptibility to | Nolte, Annika, Bender, Steffen, Hartmann, Jens, Baltruschat, Stefan, Moosdorf, Nils, Reinecke, Robert | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Population Density | |
| Canada1Water Digital Terrain Model with Bathymetry dataset | Kessel, Eric D., Frey, Steve K., Russell, Hazen A.J. | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Evaluating LUCAS in-situ and Sentinel data for grass height and vigour of vegetation in Europe | Gruschwitz, Daniel, Rossi, Mattia, Morel, Julien, van der Velde, Marijn, d'Andrimont, Raphael, Yordanov, Momchil, Ullmann, Tobias | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Flood hazards and socioeconomic vulnerability across Arkansas: A geospatial cyberinfrastructure | Peter, Brad G., Unger, Abigail, Hamidi, Ebrahim, Morris, Coy, Cohen, Sagy, Huang, Xiao | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Multi-Sensor Spatiotemporal Fusion for 30-m Daily Gapless Snow Cover | Wu, Jinhang, Zhang, Xueliang, Xiao, Pengfeng, Jia, Yumeng, Tang, Bo, Liu, Yan | Reflectance, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Albedo, Snow Cover | |
| The Accuracy, Spatial Consistency, and Impact Factors of Global Cropland Products in Karst Landscapes: A Case Study of the YunnanGuizhou Plateau | Xia, Yi, Bao, Li, Xia, Yunsheng, Liu, Guangjie | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Reflectance | |
| Regional vs local LSTM models for short-term streamflow forecasting | Saavedra-Garrido, Jorge, Arevalo, Jorge, De La Fuente, Luis, Tapia, Aldo, Paredes-Arroyo, Christopher, Cordova, Ana Maria, Velandia, Daira, Alvarez, Pablo, Reyes-Serrano, Hector, Salas, Rodrigo | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Plant Phenology | |
| Spatiotemporal variations and driving forces of wind erosion and sand stabilization in the middle Heihe River Basin | Liu, Yi, Peidong, Shi, Chenhao, Niu, Liu, Miao, Zibin, Wang | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Reduced future summer water availability in the Tien Shan due to Glacier wastage | Van Tricht, Lander, Zekollari, Harry, Huss, Matthias, van Tiel, Marit, Vanderkelen, Inne, Aguayo, Rodrigo, Compagno, Loris, Thiery, Wim, Huybrechts, Philippe, Farinotti, Daniel | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM) | |
| Roads to Growth: Evidence From Rural China | Chen, Wei, Chen, Junliang, Qiu, Huanguang, Yu, Jialing, Chen, Wei, Wang, Xinyue | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| VoxCity: A seamless framework for open geospatial data integration, grid-based semantic 3D city model generation, and urban environment simulation | Fujiwara, Kunihiko, Tsurumi, Ryuta, Kiyono, Tomoki, Fan, Zicheng, Liang, Xiucheng, Lei, Binyu, Yap, Winston, Ito, Koichi, Biljecki, Filip | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Tracking savanna vegetation structure in South Africa by extension of GEDI canopy metrics with Landsat, Sentinel-2, and PALSAR | Filippelli, Steven K., Vogeler, Jody C., Mauro, Francisco, Coetsee, Corli, Fekety, Patrick A., McHale, Melissa, Bunn, David | Savannas, Vegetation Height, Vegetation Cover, Forest Composition/Vegetation Structure, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Three's Company: Human infrastructure and diminishing savannas | Ganguly, Divyajyoti, Srivathsa, Arjun, Vasudev, Divya, Ramakrishnan, Uma | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| RTSEvo v1. 0: a retrogressive thaw slump evolution model | Xu, Jiwei, Zhao, Shuping, Nan, Zhuotong, Niu, Fujun, Zhang, Yaonan | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Runoff Capture by Sea Level Rise Alters the Area, Geometry, and Quantity | Heiss, James W., Russoniello, Christopher J. | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Population Size, Sustainability | |
| Satellite-observed surging dynamics of North Kunchhang Glacier I in the Eastern Karakoram | Zhao, Fanyu, Long, Di, Fang, Chenqi, Wang, Yiming, Duan, Xingwu | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Glacier Elevation/Ice Sheet Elevation, Ice Velocity, Sea Surface Height | |
| Winners and losers in a transforming landscape: assessing the impact of dry forest conversion on high-risk species in Michoacan, Mexico (19862025) | Hernandez-Guzman, Rafael, Ruiz-Luna, Arturo, Suazo-Ortuno, Ireri | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Land Surface Temperature, Emissivity, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Comparison of waste bin placement optimization methods: A case study in Zurich | Schweizer, Silas, Seemann-Ricard, Nicolas, Tkaczuk, Jakub, Tilley, Elizabeth | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Assessment of open-source and proprietary generated digital elevation | Masud, Ambreen, Peppa, Maria Valasia, Solano-Correa, Yady Tatiana, Mills, Jon Philip, Button, Cat | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Improved workflow for customized ICESat-2 ATL06 elevations captures seasonal mountain snow depths at sub-kilometer scale | Zikan, Karina, Enderlin, Ellyn M., Marshall, Hans-Peter, O'Neel, Shad | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Glacier Elevation/Ice Sheet Elevation, Digital Surface Model (DSM), Snow Depth, Vegetation Height |
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 |