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Description

Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) land surface temperature and emissivity (LST&E) data products are generated using the ASTER Temperature Emissivity Separation (TES) algorithm with a Water Vapor Scaling (WVS) atmospheric correction method using Moderate Resolution Imaging Spectroradiometer (MODIS) MOD07_L2 atmospheric profiles and the MODerate spectral resolution TRANsmittance (MODTRAN 5.2 radiative transfer model). This dataset is computed from all clear-sky pixels of ASTER scenes acquired from 2000 through 2008. AG100 data are available globally at spatial resolution of 100 meters.

The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.

Known Issues

  • Known issues are provided in Section 4, starting on page 8 of the User Guide.

Improvements/Changes from Previous Versions

  • Includes data for the entire globe.
  • Includes the mean climatology of all ASTER data for the specific temporal extent.

Version Description

ASTER Global Emissivity Dataset (GED) derived from clear-sky pixels for all available data (2000-2008).

Product Summary

Platforms
Terra
Instruments
ASTER
Spatial Extent
N: 90 S: -90 E: 180 W: -180
Spatial Resolution
100 Meters x 100 Meters
Geographic Region
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2000-01-01 to 2008-12-31
Temporal Resolution
Varies
Data Partner
Land Processes Distributed Active Archive Center (LP DAAC)
ASTER, JET PROPULSION LABORATORY, NASA (NASA/JPL/ASTER)
Concept ID
C2763266348-LPCLOUD
Data State
COMPLETE
Processing Level
3
Published
Updated
Science Keywords
Emissivity,
Land Surface Temperature,
Vegetation Index,
Terrain Elevation,
Topographical Relief Maps,
Digital Elevation/Terrain Model (DEM),
Normalized Difference Vegetation Index (NDVI)

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.

Copy Citation

NASA JPL. (2014). ASTER Global Emissivity Dataset, 100-meter, HDF5 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/COMMUNITY/ASTER_GED/AG100.003 Date Accessed: 2025-11-01

Documents

Publications Citing This Dataset

Filters
Title Year Author
The dynamic relationship between air and land surface temperature within the Madison, Wisconsin urban heat island Berg, E.
Determining actual evapotranspiration based on machine learning and sinusoidal approaches applied to thermal high-resolution remote sensing imagery in a semi-arid ecosystem Reyes Rojas, L. A.
A Google Earth Engine application to retrieve long-term surface temperature for small lakes. Case—San pedro lagoons, chile Pedreros-Guarda, M.
Multi-temporal land surface temperature and vegetation greenness in urban green spaces of Puebla, Mexico Gomez-Martinez, F.
Late Holocene Mongolian climate and environment reconstructions from brGDGTs, NPPs and pollen transfer functions for Lake Ayrag—Paleoclimate implications for Arid Central Asia Dugerdil, L.
Detection of paddy rice cropping systems in southern China with time series Landsat images and phenology-based algorithms Zhu, L.
Exploring the relationship between urban form and land surface temperature (LST) in a semi-arid region case study of Ben Guerir city - Morocco Azmi, R.
Joint VSWIR-TIR retrievals of earth's surface and atmosphere Fahlen, J. E.
Towards an operational, split window-derived surface temperature product for the thermal infrared sensors onboard Landsat 8 and 9 Gerace, A.
Performance of satellite-based evapotranspiration models in temperate pastures of southern chile Moletto-Lobos, I.
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Variables

Variables are a set of physical properties whose values determine the characteristics or behavior of something. For example, temperature and pressure are variables of the atmosphere. Parameters and variables can be used interchangeably. Variable level attributes provide individual information for each variable.

The Name in this table is the variable name. Fill value indicates missing or undefined data points in a variable. Valid range is the range of values the variable can store. Scale factor is used to increase or decrease the size of an object and can be used to correct for distortion. For questions on a specific variable, please use the Earthdata Forum.

Name Description Units Data Type Fill Value Valid Range Scale Factor
ASTER GDEM ASTER Global Digital Elevation Model V002 Meters int16 -9999 -9999 to 9000 N/A
Emissivity Mean Band 10 (8.3 μm)Band 11 (8.6 μm)Band 12 (9.1 μm)Band 13 (10.6 μm)Band 14 (11.3 μm) N/A int16 -9999 -9999 to 1000 0.001
Emissivity SDev Band 10 (8.3 μm)Band 11 (8.6 μm)Band 12 (9.1 μm)Band 13 (10.6 μm)Band 14 (11.3 μm) N/A int16 -9999 -9999 to 1000 0.0001
Land Water Map Land Water Map N/A int16 N/A N/A to 1 N/A
Latitude Latitude Degree float32 N/A N/A to 90 N/A
Longitude Longitude Degree float32 N/A N/A to 180 N/A
NDVI Mean Mean N/A int16 -9999 -9999 to 100 0.01
NDVI SDev Standard Deviation N/A int16 -9999 -9999 to 100 0.01
Observations Number of Observations N/A int16 N/A N/A N/A
Temperature Mean Mean Kelvin int32 -9999 -9999 to 65535 0.01
Temperature SDev Standard Deviation Kelvin int16 -9999 -9999 to 65535 0.01
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