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ASTER L2 Surface Emissivity V003

Metadata Updated: February 28, 2024

The ASTER L2 Surface Emissivity is an on-demand product (( generated using the five thermal infrared (TIR) bands (acquired either during the day or night time) between 8 and 12 µm spectral range. It contains surface emissivity over the land at 90 meters spatial resolution. Estimates of surface emissivity were thus far only derived using surrogates such as land-cover type or vegetation index.

The Temperature/Emissivity Separation (TES) algorithm is used to derive both E (emissivity) and T (surface temperature). The main goals of the TES algorithm include: recovering accurate and precise emissivities for mineral substrates, and estimating accurate and precise surface temperatures especially over vegetation, water and snow.The TES algorithm is executed in the ASTER processing chain following generation of ASTER Level-2 Surface Radiance (TIR). The land-leaving radiance and down-welling irradiance vectors for each pixel are taken in account. Emissivity is estimated using the Normalized Emissivity Method (NEM), and is iteratively compensated for reflected sunlight. The emissivity spectrum is normalized using the average emissivity of each pixel. The minimum-maximum difference (MMD) of the normalized spectrum is calculated and estimates of the minimum emissivity derived through regression analysis. These estimates are used to scale the normalized emissivity and compensate for reflected skylight with the derived refinement of emissivity.

ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (

V003 data set release date: 2002-05-03

Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article.

Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at

As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products. Changes include: • Aura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020. The sequence of fallbacks for ozone will remain the same. • Toolkit has been updated from Version 5.2.17 to 5.2.20. Users may notice minor differences between the two versions. Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data.

Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form. It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis. Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP. Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied.

Aura OMI data are no longer available as an input for ASTER Level 2 data acquisitions after October 6, 2023. For data acquired after this date, ozone inputs will automatically fall back to climato

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date November 12, 2020
Metadata Updated Date February 28, 2024

Metadata Source

Harvested from NASA Data.json

Graphic Preview

Browse image for Earthdata Search

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date February 28, 2024
Publisher LP DAAC
Identifier C1299783607-LPDAAC_ECS
Data First Published 2000-03-04
Language en-US
Data Last Modified 2024-02-23
Category Terra, geospatial
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Citation NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team. 2005-05-03. AST_05.003. ASTER Level 2 Emissivity Product. Sioux Falls, South Dakota, USA. Archived by National Aeronautics and Space Administration, U.S. Government, NASA EOSDIS Land Processes Distributed Active Archive Center. The DOI landing page provides citations in APA and Chicago styles..
Creator NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team
Graphic Preview Description Browse image for Earthdata Search
Graphic Preview File
Harvest Object Id 000c3a8b-80a2-41c4-b389-9fa97c727ad8
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL
Metadata Type geospatial
Old Spatial -180.0 -83.0 180.0 83.0
Program Code 026:001
Release Place Sioux Falls, South Dakota, USA
Series Name AST_05.003
Source Datajson Identifier True
Source Hash 981c59c35a3c6a910838bc4363140ea8135aa62d2d6dd1c5cf3dbb2ac8507125
Source Schema Version 1.1
Temporal 2000-03-04T20:34:04Z/2024-02-26T00:00:00Z

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