The AG100B Version 3 dataset was decommissioned as of December 14, 2016. Users are encouraged to use the ASTER Global Emissivity Dataset 100-meter [AG100 Version 3](https://doi.org/10.5067/Community/ASTER_GED/AG100.003) dataset in HDF5. The Terra 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 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. The HDF5 version of the data are available for distribution, please see [AG100](https://doi.org/10.5067/Community/ASTER_GED/AG100.003) for more information.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 of the ASTER GED 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.

The Terra 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](https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) 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. 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.

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](https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html)) 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.

The AG5KMMOH Version 4 dataset was decommissioned as of December 14, 2016. Users are encouraged to use [Version 4.1 of ASTER Global Emissivity Dataset, Monthly, 0.05 degree, HDF5](https://doi.org/10.5067/Community/ASTER_GED/AG5KMMOH.041).The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) is a collection of monthly files (see known issues for gaps) for each year of global emissivity. The ASTER GED data products are generated for 2000 through 2015 using the ASTER Temperature Emissivity Separation (TES) algorithm atmospheric correction method. This algorithm method uses Moderate Resolution Imaging Spectroradiometer (MODIS) Atmospheric Profiles product [MOD07](https://doi.org/10.5067/MODIS/MOD07_L2.006) and the MODerate spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model along with the snow cover data from the standard monthly MODIS/Terra snow cover monthly global 0.05 degree product [MOD10CM](https://doi.org/10.5067/MODIS/MOD10CM.006), and vegetation information from the MODIS monthly gridded Normalized Difference Vegetation Index (NDVI) product [MOD13C2](https://doi.org/10.5067/MODIS/MOD13C2.006).The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.Improvements/Changes from Previous Versions* This V4 product incorporates an emissivity adjustment to the ASTER GED V003 product. See “[The ASTER Global Emissivity Dataset (ASTER GED): Mapping Earth’s emissivity at 100 meter spatial scale](https://doi.org/10.1002/2015GL065564)" publication Section 4 for more information.

The AG5KMMOH Version 4 dataset was decommissioned as of December 14, 2016. Users are encouraged to use [Version 4.1 ASTER Global Emissivity Dataset, Monthly, 0.05 degree, HDF5](https://doi.org/10.5067/Community/ASTER_GED/AG5KMMOH.041).The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) is a collection of monthly files for each year of global emissivity. The ASTER GED data products are generated for 2000 through 2015 using the ASTER Temperature Emissivity Separation (TES) algorithm atmospheric correction method. This algorithm method uses Moderate Resolution Imaging Spectroradiometer (MODIS) Atmospheric Profiles product [MOD07](https://doi.org/10.5067/MODIS/MOD07_L2.006) and the MODTRAN 5.2 radiative transfer model along with the snow cover data from the standard monthly MODIS/Terra snow cover monthly global 0.05 degree product [MOD10CM](https://doi.org/10.5067/MODIS/MOD10CM.006), and vegetation information from the MODIS monthly gridded Normalized Difference Vegetation Index (NDVI) product [MOD13C2](https://doi.org/10.5067/MODIS/MOD13C2.006).The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.Improvements/Changes from Previous Versions* This V4 product incorporates an emissivity adjustment to the ASTER GED V3 product. See “[The ASTER Global Emissivity Dataset (ASTER GED): Mapping Earth’s emissivity at 100 meter spatial scale](https://doi.org/10.1002/2015GL065564)" publication Section 4 for more information.

The Terra Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) is a collection of monthly files (see known issues for gaps) for each year of global emissivity. The ASTER GED data products are generated for 2000 through 2015 using the ASTER Temperature Emissivity Separation (TES) algorithm atmospheric correction method. This algorithm method uses Moderate Resolution Imaging Spectroradiometer (MODIS) Atmospheric Profiles product [MOD07](http://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) and the MODerate spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model along with the snow cover data from the standard monthly MODIS/Terra snow cover monthly global 0.05 degree product [MOD10CM](https://doi.org/10.5067/MODIS/MOD10CM.006), and vegetation information from the MODIS monthly gridded NDVI product [MOD13C2](https://doi.org/10.5067/MODIS/MOD13C2.006). ASTER GED Monthly V041 data products are offered in Hierarchical Data Format 5 (HDF5).The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.Known Issues* Since ASTER GED Monthly V041 uses MOD10CM as an input, there will be some months that were unable to be created due to missing data. Please see the [MODIS/Terra Data Outages Webpage](http://modaps.nascom.nasa.gov/services/production/outages_terra.html) for more information.Improvements/Changes from Previous Versions* The removal of the extraneous snow layer.* The optimized rows and columns for the data layers.* The updated SDS Attributes in the metadata for bounding coordinates.* The previous ASTER GED V004 product incorporated an emissivity adjustment to the V003 product. See [“The ASTER Global Emissivity Dataset (ASTER GED): Mapping Earth’s emissivity at 100 meter spatial scale”](https://doi.org/10.1002/2015GL065564) publication Section 4 for more information.

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/community/community-data-system-programs/measures-projects) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) dataset provides monthly coefficients at 0.05 degree (~5 kilometer) resolution (CAM5K30CF). The CAMEL Principal Components Analysis (PCA) input coefficients utilized in the CAMEL high spectral resolution (HSR) algorithm are provided in the CAM5K30CF data product and are congruent to the temporally equivalent CAM5K30EM (https://doi.org/10.5067/MEaSUREs/LSTE/CAM5K30EM.003) emissivity data product. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD).Provided in the CAM5K30CF product are layers for PCA coefficients, number of PCA coefficients, laboratory version, snow fraction derived from MODIS Snow Cover data (MOD10), latitude, longitude, and the CAMEL quality information. PCA coefficients are dependent on the version of lab Principal Component (PC) data and the number of PCs used.Known Issues* The following granules are missing from the product: January, February, and August of 2000; June and July of 2001; March of 2002; December of 2003; July of 2010; and February of 2016.Improvements/Changes from Previous Versions* Version 3 includes new MODIS Terra and Aqua Land Surface Temperature and 3-Band Emissivity (MYD/MOD21) input data in the University of Wisconsin-Madison MODIS Baseline Fit (UWBF) emissivity database and the latest 6.1 version of MODIS Terra and Aqua Land Surface Temperature and Emissivity (MYD/MOD11) and MYD/MOD21 products with the most up-to-date calibration corrections. Additional information on the Version 3 updates is provided in Section 2 of the User Guide and ATBD.

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) dataset provides monthly emissivity at 0.05 degree (~5 kilometer) resolution (CAM5K30EM). The CAM5K30EM data product was created by combining the University of Wisconsin-Madison MODIS Infrared Emissivity dataset (UWIREMIS) and the Jet Propulsion Laboratory ASTER Global Emissivity Dataset Version 4 (GED V4). The two datasets have been integrated to capitalize on the unique strengths of each product's characteristics. The integration steps include: adjustment of ASTER GED Version 3 emissivities for vegetation and snow cover variations to produce ASTER GED Version 4, aggregation of ASTER GED Version 4 emissivities from 100 meter resolution to the University of Wisconsin-Madison MODIS Baseline Fit (UWBF) 5 kilometer resolution, merging of the 5 ASTER spectral emissivities with the UWBF emissivity to create CAMEL at 13 hinge points, and extension of the 13 hinge points to high spectral resolution (HSR) utilizing the Principal Component (PC) regression method. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD).Provided in the CAM5K30EM product are layers for the CAMEL emissivity, ASTER Normalized Difference Vegetation Index (NDVI), snow fraction derived from MODIS (MOD10), latitude, longitude, CAMEL quality, ASTER quality, and Best Fit Emissivity (BFE) quality information.Improvements/Changes from Previous Versions* Version 2 includes two additional laboratory datasets to more accurately characterize snowy scenes.

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) data suite has been expanded to include a monthly global emissivity climatology product (CAM5K30EMCLIM). This 0.05 degree (~5 kilometer) resolution product represents the mean emissivity from 2003 through 2021 (19 years). Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD).Variables provided in the CAM5K30EMCLIM product include latitude, longitude, wavelength, number of samples used to calculate climatology, CAMEL quality flag, snow fraction derived from MODIS (MOD10), and CAMEL Emissivity.

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) (https://earthdata.nasa.gov/about/competitive-programs/measures) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) data suite has been expanded to include a monthly global coefficient climatology product (CAM5K30CFCLIM). The product is provided at 0.05 degree (~5 kilometer) resolution. The CAMEL Principal Components Analysis (PCA) input coefficients utilized in the CAMEL high spectral resolution (HSR) algorithm are provided in the CAM5K30CFCLIM data product. This HSR algorithm is accessible in both MATLAB and FORTRAN programming languages, and it corresponds with the temporally equivalent CAM5K30EMCLIM (https://doi.org/10.5067/MEaSUREs/LSTE/CAM5K30EMCLIM.003) emissivity data product. The HSR emissivity spectra for the same month each year and each unique combination of lab dataset version and number of Principal Components (PC)s are first computed independently and then combined via a weighted average. The weighted average over 2003 through 2021 (19 years) defines the weights by the number of samples from each unique combination. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD).Provided in the CAM5K30CFCLIM product are variables for PCA coefficients, the weights and sample numbers of the climatology coefficients used in the average calculation, sets of the number of PCA coefficients, laboratory version numbers, latitude, longitude, and land flag information. PCA coefficients depend on the lab PC data version and the number of PCs used.