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
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| A 30 m Multi-Year Dataset of Major Crop Distributions in Xinjiang, China (20132024) Based on Harmonized LandsatSentinel-2 Data | Liang, Qixiang, Di, Yanfeng, Hao, Xingming, Zhang, Jingjing, Ci, Mengtao, Sun, Fun, Wang, Chuan, Fan, Xue, Guo, Xinran | Reflectance, Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| A geophysical investigation of the Roter Kamm impact crater, Namibia | Nienhaus, Hannah, Yogeshwar, Pritam, Morbe, Wiebke, Tezkan, Bulent, Liu, Yajun, Lushetile, Bufelo, Melles, Martin | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Comparison of multiple satellite-derived products for assessing | Song, Jiaxin, Zhou, Decheng, Hao, Lu, Xiao, Jingfeng, Li, Xing, Zhang, Liangxia, Sun, Ge | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Evapotranspiration, Photosynthesis, Primary Production, Latent Heat Flux, VEGETATION PRODUCTIVITY, Surface Pressure, Heat Flux, Longwave Radiation, Shortwave Radiation, Surface Temperature, Humidity, Surface Winds, Rain, Precipitation Rate, Snow, Soil Moisture/Water Content, Soil Temperature, Land Surface Temperature, Snow Water Equivalent, Runoff | |
| An assessment of aerial firefighting response times between agencies during the 2020 fire season in California | Magstadt, Shayne, Belval, Erin J., Pietruszka, Bradley M., Wei, Yu, O'Connor, Christopher D. | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| An automatic, rapid and continuous impervious surface mapping framework based on historical land cover datasets | Sun, Lingyu, Wu, Chen, Zhang, Liangpei, Guo, Haonan | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Deep learning with geographical post-processing optimization: an | Fu, Xingjian, Luo, Lei, Li, Feng, Yang, Jia, Shao, Jie, Tu, Ran, Fan, Jinhui, Luo, Zhihong, Zhang, Zhi | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Hybrid MCDMIsolation Forest approach for spatiotemporal landslide mapping | Jiang, Bingqi, Wang, Shouwu, Han, Chunhua, Meng, Jingkai, Wang, Lida | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Land Use/Land Cover Classification | |
| Geospatial Analysis of Agrivoltaic Suitability in the Philippines | Ibanez, Jessa A., Benitez, Ian B., Principe, Jeark A. | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Global pandemic reshaped urban expansion: insights into the policy and spatial expansion pattern in global 400+ cities | Sun, Lingyu, Wu, Chen, Li, Jialu, Du, Bo, Zhang, Liangpei | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| GeoAI-Enabled Ensemble Modeling to Assess Land Use and Atmospheric | Mitra, Bijoy, Zhang, Guiming | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Global Hydroclimatic Controls on Multithread River Dynamics | Zhao, Feifei, Ganti, Vamsi, Chadwick, Austin, Greenberg, Evan, McLeod, Jonah, Liu, Yinxue, Slater, Louise, FoufoulaGeorgiou, Efi | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Global elevational shifts and drivers of alpine treelines | Liang, Tianchen, Tian, Feng, Zou, Linqing, Gravey, Mathieu, Rumpf, Sabine B. | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Impacts of roads on the body condition of Amazonian stream fish | Drager, Dennys Heilbuth Cachapuz, Leal, Cecilia, Salvador, Gilberto Nepomuceno, Carvalho, Debora Reis de, Pompeu, Paulo Santos, Ferraz, Gabriel Oliveira, Brejao, Gabriel Lourenco, Basilio, Pedro Henrique dos Santos, Rodrigues-Filho, Carlos Alberto de Sousa, Ferraz, Silvio Frosini de Barros, Maeoka, Leonardo Toshiaki Yabuke, Zuanon, Jansen, Montag, Luciano Fogaca de Assis, Alves Filho, Marcos Angelo, Leitao, Rafael Pereira | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Linking scale-dependent ecosystem service interactions with driver-based zoning strategies: A case study of the Songnen Plain | Yu, Sisi, Huang, Jiacheng, Cai, Shangshu, Ju, Hongrun, Jiang, Aihui, Chen, Jianchao, Jin, Kun | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps | |
| Leveraging sUAS-Sentinel-2 synergy for cross-scale mapping of canopy | Kolluru, Venkatesh, John, Ranjeet, Chen, Jiquan, Henebry, Geoffrey M., Xiao, Jingfeng, Shinde, Rajat, Kussainova, Maira, Ganzorig, Ulgiichimeg | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, Plant Phenology, Enhanced Vegetation Index (EVI), Land Use/Land Cover Classification | |
| Projected climate change impacts on the inflow of a Southeastern Brazilian hydropower reservoir | da Silva, Nathalia Drummond Marques, Macedo, Diego Rodrigues, de Lima, Leticia Santos, Bressiani, Danielle | 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) | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| Three's Company: Human infrastructure and diminishing savannas | Ganguly, Divyajyoti, Srivathsa, Arjun, Vasudev, Divya, Ramakrishnan, Uma | 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 | |
| A comparison of country-scale subsoil predictions between a numeric and | Flynn, Trevan, Clarke, Catherine, Kostecki, Rosana, Rebi, Ansa | Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps |
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 |