Description

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 3 arc second (~90 meter) sub-sampled product. The 3 arc second data was derived from the 1 arc second using sampling methods. (See Figure 3 in the User Guide)

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 SRTMGL3 data were sub-sampled fromSRTM1GL data that fall within that tile. These elevation files use the extension ".HGT", meaning height (such as N37W105.SRTMGL3S.HGT). The primary goal of creating the Version 3 data was to eliminate gaps, or voids, that were present in earlier versions of SRTM data. In areas with limited data, existing topographical data were used to supplement the SRTM data to fill the voids. The source of each elevation pixel is identified in the correspondingSRTMGL3N product (such as N37W105.SRTMGL3N.NUM).

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

  • Known issues in the NASA SRTM are described in the following publication:

Version Description

The following improvement was implemented for SRTM Version 3 data products: Missing data or voids were filled with ASTER Global Digital Elevation Model (GDEM) Version 2, the Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), or the National Elevation Dataset (NED).

Product Summary

Spatial Extent

N: 60S: -56E: 180W: -180

Spatial Resolution
90 Meters x 90 Meters
Location
GLOBAL LAND
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2000-02-11 to 2000-02-21
Temporal Resolution
11 Day
Data Partner
Land Processes Distributed Active Archive Center (LP DAAC),
Shuttle Radar Topography Mission Project Office, Jet Propulsion Laboratory, NASA (NASA/JPL/SRTM)
Concept ID
C2763268442-LPCLOUD
Data State
COMPLETE
Number of Files/Granules
14280
Processing Level
3
Published
Updated

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with theEOSDIS Data Use and Citation Guidance.

Copy Citation

Citation Copied
NASA JPL. (2013).NASA Shuttle Radar Topography Mission Global 3 arc second sub-sampled [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/MEASURES/SRTM/SRTMGL3S.003 Date Accessed: 2026-02-16
NASA JPL. “NASA Shuttle Radar Topography Mission Global 3 Arc Second Sub-Sampled.” NASA Land Processes Distributed Active Archive Center, 2013. doi:10.5067/MEASURES/SRTM/SRTMGL3S.003. Date Accessed: 2026-02-16
NASA JPL.NASA Shuttle Radar Topography Mission Global 3 Arc Second Sub-Sampled. NASA Land Processes Distributed Active Archive Center, 2013, doi:10.5067/MEASURES/SRTM/SRTMGL3S.003. Date Accessed: 2026-02-16

File Naming Convention

N00E006.hgt

The file name begins with the latitude and longitude of the lower left corner of the tile (N00E006) followed by the Data Format (hgt).

Publications Citing This Dataset

Filters
TitleYear Sort ascendingAuthor
Geographical accessibility to the supply of antiophidic sera in Brazil—Timely access possibilitiesOliveira, R. A. D.
Real vehicle fuel consumption in logistic corridorsHuertas, J. I.
Landslide susceptibility assessment using AHP model and multi resolution DEMs along a highway in Manipur, IndiaChanu, M. L.
Development of a new index for automated mapping of ratoon rice areas using time-series normalized difference vegetation index imageryLi, B.
Modeling streamflow at the Iberian Peninsula scale using MOHID-Land—Challenges from a coarse scale approachOliveira, A. R.
Ancient DNA and deep population structure in sub-Saharan African foragersLipson, M.
Effects of offsets and outliers on the sea level trend at Antalya 2 tide gauge within the eastern Mediterranean SeaAyhan, M. E.
All-sky 1 km MODIS land surface temperature reconstruction considering cloud effects based on machine learningCho, D.
Integrating topographic knowledge into deep learning for the void-filling of digital elevation modelsLi, S.
Monitoring land degradation and assessing its drivers to support sustainable development goal 15.3 in Central AsiaJiang, L.
SHOWING10 OF 118

Variables

The table below lists the variables contained within a single granule for thisdataset. Variables often contain observed or derived geophysical measurementscollected from a variety of sources, including remote sensing instruments onsatellite and airborne platforms, field campaigns, in situ measurements, andmodel outputs. The terms variable, parameter, scientific data set, layer, and bandhave been used across NASA’s Earth science disciplines; however, variable is thedesignated nomenclature in NASA’s Common Metadata Repository (CMR).Variable metadata attributes such as Name, Description, Units, Data Type, FillValue, Valid Range, and Scale Factor allow users to efficiently process and analyzethe 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 theEarthdata Forum.

Name Sort descendingDescriptionUnitsData TypeFill ValueValid RangeScale Factor
DEMElevationMetersint16N/A-32767 to 32767N/A
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