N: 83 S: -83 E: 180 W: -180
Description
The AST_05 Version 3 data product was decommissioned on December 15, 2025. Users are encouraged to use the AST_05 Version 4 data product.
The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Surface Emissivity (AST_05) is produced using the Temperature/Emissivity Separation (TES) algorithm for the five Thermal Infrared (TIR) 90 meter bands, acquired during the day or night. The product is comprised of per-pixel emissivity measurements generated over land in addition to embedded metadata and quality assurance data planes.
The ASTER L2 Surface Emissivity data product is only available through NASA's Earthdata Search. The ASTER Order Instructions provide step-by-step directions for ordering this product.
Known Issues
- Data acquisition gaps: On November 28, 2024, one of Terra's power-transmitting shunt units failed. As a result, there was insufficient power to maintain functionality of the ASTER instrument. ASTER resumed acquisitions for the VNIR bands on January 18, 2025, and for the TIR bands on April 15, 2025. Users should note the data gap in ASTER acquisitions from November 28, 2024, through January 16, 2025, for VNIR observations, and a gap from November 28, 2024, through April 15, 2025, for TIR acquisitions.
Processing Improvements/Changes
- The Science Scalable Scripts-based Science Processor for Missions (S4PM) Version 3.4 algorithm, which is used to generate L2 Product Generation Executables (PGEs), is relying on a new ancillary input for atmospheric parameters as of December 18, 2024. Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) is global atmospheric reanalysis that combines remote sensing observations and interactions with the climate system. It will be one of the primary ozone and water vapor, pressure, and temperature inputs for L2 PGEs. MERRA-2 will provide a finer geographic resolution grid since it is a 3-dimensional, 3-hourly data collection with 50-km (latitudinal direction) spatial resolution.
- The fallback options for L2 PGEs are as follows:
- Ozone: [TOVS Ozone (OZ_DLY ) > AURA Ozone Monitoring Instrument (AURAOMI) > Total Ozone Analysis from Stratospheric and Tropospheric (TOAST) > Earth Probe-Total Ozone Mapping Spectrometer (EPTOMS)] or [MERRA-2] > National Centers for Environmental Prediction (NCEP)/Global Data Assimilation System (GDAS) > Climatology
- Water Vapor, Pressure, and Temperature: [MOD07_L2] or [MERRA-2] > NCEP/GDAS > Climatology
- Caveat: The temporal range for MERRA-2 covers 1980 to present; however, there is latency of ~3 weeks after the end of a month. Hence, NCEP/GDAS > Climatology fallback sequence will be applied for on-demand requests that fall outside of MERRA-2's temporal range or if the data is not science grade.
- 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.
- 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 https://doi.org/10.3390/rs12030427.
Version Description
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 Product Short Name (AST_05), followed by the 3-digit Version Number plus the Date and Time of Acquisition designated as MMDDYYYYHHMMSS (00309102025211129), Date and Time of Processing designated as YYYYMMDDHHMMSS (20250911135121), Unique Processing Identifier (433315), and the Data Format (hdf).
Documents
USER'S GUIDE
ALGORITHM THEORETICAL BASIS DOCUMENT (ATBD)
DATA PRODUCT SPECIFICATION
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Analysis of ash emissions from the 2020 Nishinoshima eruption using ASTER thermal infrared orbital data | Williams, Daniel B., Ramsey, Michael S. | Emissivity, INFRARED FLUX, Infrared Imagery, Infrared Radiance, THERMAL INFRARED | |
| A four-parameter model for estimating diurnal temperature cycle from MODIS land surface temperature product | Lu, L., Zhou, X. M. | Land Surface Temperature, Emissivity, Reflectance, Sea Surface Temperature, Land Use/Land Cover Classification | |
| Mapping Sandy Land Using the New Sand Differential Emissivity Index From Thermal Infrared Emissivity Data | Chen, Shanshan, Ren, Huazhong, Liu, Rongyuan, Tao, Yunzhu, Zheng, Yitong, Liu, Hongcheng | REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance, Emissivity | |
| Generating the 30-m land surface temperature product over continental China and USA from Landsat 5/7/8 data | Cheng, Jie, Meng, Xiangchen, Dong, Shengyue, Liang, Shunlin | Land Use/Land Cover Classification, Land Surface Temperature, Emissivity | |
| Study of the urban heat island (UHI) using remote sensing data/techniquesA systematic review | Almeida, Catia Rodrigues de, Teodoro, Ana Claudia, Goncalves, Artur | REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance, Land Surface Temperature, Emissivity, Sea Surface Temperature, Albedo, Reflectance | |
| What can thermal imagery tell us about glacier melt below rock debris? | Herreid, Sam | Land Surface Temperature, Sea Surface Temperature, Emissivity | |
| New hybrid algorithm for land surface temperature retrieval from multiple-band thermal infrared image without atmospheric and emissivity data inputs | Ren, Huazhong, Dong, Jiaji, Liu, Rongyuan, Zheng, Yitong, Guo, Jinxin, Chen, Shanshan, Nie, Jing, Zhao, Yan | Land Surface Temperature, Sea Surface Temperature, REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance, Emissivity | |
| Emissivity of agricultural soil attributes in southeastern Brazil via terrestrial and satellite sensors | Salazar, Diego F.U., Dematte, Jose A.M., Vicente, Luiz E., Guimaraes, Clecia C.B., Sayao, Veridiana M., Cerri, Carlos E.P., de C. Padilha, Manuela C., Mendes, Wanderson De S. | Emissivity | |
| First comparisons of surface temperature estimations between ECOSTRESS, ASTER and landsat 8 over Italian volcanic and geothermal areas | Silvestri, Malvina, Romaniello, Vito, Hook, Simon, Musacchio, Massimo, Teggi, Sergio, Buongiorno, Maria Fabrizia | REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance, Emissivity | |
| Comparison of emissivity retrieval methods from ASTER data using Fourier-Transform Infrared Spectroscopy | Rolim, Silvia Beatriz Alves, Veettil, Bijeesh Kozhikkodan, Kafer, Pamela Suelen, Grondona, Atilio Efrain Bica, Iglesias, Maria Lujan, Diaz, Lucas Ribeiro, Hackmann, Cristiano Lima | REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance, Emissivity | |
| Validation of ASTER emissivity retrieval using the Mako airborne TIR imaging spectrometer at the Algodones dune field in Southern California, USA | Mushkin, Amit, Gillespie, Alan R., Abbott, Elsa A., Batbaatar, Jigjidsurengiin, Hulley, Glynn, Tan, Howard, Tratt, David M., N. Buckland, Kerry | Land Surface Temperature, Sea Surface Temperature, Emissivity, INFRARED FLUX, Infrared Imagery, Infrared Radiance, THERMAL INFRARED | |
| Volcanic anomalies monitoring system (VOLCANOMS), a low-cost volcanic monitoring system based on Landsat images | Layana, Susana, Aguilera, Felipe, Rojo, German, Vergara, Alvaro, Salazar, Pablo, Quispe, Juan, Urra, Pablo, Urrutia, Diego | Emissivity | |
| Integration and visualization of mineralogical and topographical information derived from ASTER and DEM data | Kurata, Kana, Yamaguchi, Yasushi | Emissivity, Albedo, Reflectance | |
| Mapping hydrothermally altered minerals with AST_07XT, AST_05 and Hyperion datasets using a voting-based extreme learning machine algorithm | Hu, Bin, Wan, Bo, Xu, Yongyang, Tao, Liufeng, Wu, Xincai, Qiu, Qinjun, Wu, Yehui, Deng, Hui | REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance, Emissivity, Albedo, Reflectance | |
| Evaluation of an ASTER emissivity product with field spectral radiance measurements for natural surfaces | Tang, Bo-Hui, Li, Zhao-Liang | Emissivity | |
| Evaluation of atmospheric correction methods for the ASTER temperature and emissivity separation algorithm using ground observation networks in the HiWATER experiment | Li, Hua, Wang, Heshun, Yang, Yikun, Du, Yongming, Cao, Biao, Bian, Zunjian, Liu, Qinhuo | Land Surface Temperature, Sea Surface Temperature, Emissivity | |
| Exploration of hydrothermal alteration and monitoring of thermal activity using multi-source satellite imagesA case study of the recently active Kirishima volcano complex on Kyushu Island, Japan | Mia, Md. Bodruddoza, Fujimitsu, Yasuhiro, Nishijima, Jun | Land Surface Temperature, Sea Surface Temperature, REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance, Emissivity | |
| Automated regolith landform mapping using airborne geophysics and remote sensing data, Burkina Faso, West Africa | Metelka, Vaclav, Baratoux, Lenka, Jessell, Mark W., Barth, Andreas, Jezek, Josef, Naba, Seta | REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance, Emissivity | |
| Determining mineralogical variations of aeolian deposits using thermal infrared emissivity and linear deconvolution methods | Hubbard, Bernard E., Hooper, Donald M., Solano, Federico, Mars, John C. | Emissivity, Land Surface Temperature | |
| A framework for estimating the 30 m thermal-infrared broadband emissivity from Landsat surface reflectance data | Cheng, Jie, Liu, Hao, Liang, Shunlin, Nie, Aixiu, Liu, Qiang, Guo, Yamin | Emissivity, Land Surface Temperature | |
| Evaluation and aggregation properties of thermal Infra-Red-based evapotranspiration algorithms from 100 m to the km scale over a semi-arid irrigated agricultural area | Bahir, Malik, Boulet, Gilles, Olioso, Albert, Rivalland, Vincent, Gallego-Elvira, Belen, Mira, Maria, Rodriguez, Julio-Cesar, Jarlan, Lionel, Merlin, Olivier | Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Emissivity, Land Surface Temperature, Albedo, Reflectance, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Sea Surface Temperature | |
| Integrating ASTER and GLASS broadband emissivity products using a multi-resolution Kalman filter | Shi, Linpeng, Liang, Shunlin, Cheng, Jie, Zhang, Quan | Emissivity | |
| Processing methodology based on ASTER data for mapping mine waste dumps in a semiarid polysulphide mine district | Rodriguez-Hernandez, Alejandro, Briones-Gallardo, Roberto, Razo, Israel, Noyola-Medrano, Cristina, Lazaro, Isabel | Emissivity, Albedo, Reflectance | |
| An efficient approach for pixel decomposition to increase the spatial resolution of land surface temperature images from MODIS thermal infrared band data | Wang, Fei, Qin, Zhihao, Li, Wenjuan, Song, Caiying, Karnieli, Arnon, Zhao, Shuhe | Land Surface Temperature, Emissivity, REFLECTED INFRARED, THERMAL INFRARED, VISIBLE IMAGERY, Visible Radiance, Sea Surface Temperature |
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 |
|---|---|---|---|---|---|---|---|
| TIR_Band10 | 90 meter resolution TIR Band 10 (8.125 to 8.475 µm) | N/A | uint16 | N/A | 0 to 65535 | 0.001 | N/A |
| TIR_Band11 | 90 meter resolution TIR Band 11 (8.475 to 8.825 µm) | N/A | uint16 | N/A | 0 to 65535 | 0.001 | N/A |
| TIR_Band12 | 90 meter resolution TIR Band 12 (8.925 to 9.275 µm) | N/A | uint16 | N/A | 0 to 65535 | 0.001 | N/A |
| TIR_Band13 | 90 meter resolution TIR Band 13 (10.25 to 10.95 µm) | N/A | uint16 | N/A | 0 to 65535 | 0.001 | N/A |
| TIR_Band14 | 90 meter resolution TIR Band 14 (10.95 to 11.65 µm) | N/A | uint16 | N/A | 0 to 65535 | 0.001 | N/A |