Combined ASTER and MODIS Emissivity database over Land (CAMEL) emissivity data from the CAM5K30EM product over the globe from the month of January 2012.
View full-size imageThe NASA Making Earth System Data Records for Use in Research Environments (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.
| Characteristic | Description |
|---|---|
| Collection | MEaSUREs LSTE |
| DOI | 10.5067/MEaSUREs/LSTE/CAM5K30EM.001 |
| File Size | ~54 MB |
| Temporal Resolution | Monthly |
| Temporal Extent | 2000-04-01 to 2016-12-31 |
| Spatial Extent | Global |
| Coordinate System | Geographic Latitude and Longitude |
| Datum | World Geodetic System (WGS84) |
| File Format | NetCDF4 |
| Geographic Dimensions | 90° x 180° |
| Characteristic | Description |
|---|---|
| Number of Science Dataset (SDS) Layers | 8 |
| Columns/Rows | 3600 x 7200 |
| Pixel Size | 5600 m |
| SDS Name | Description | Units | Data Type | Fill Value | No Data Value | Valid Range | Scale Factor |
|---|---|---|---|---|---|---|---|
| camel_emis | CAMEL emissivity at 13 different spectra | N/A | 16-bit signed integer | -999 | N/A | 0 to 1000 | 0.001 |
| aster_ndvi | ASTER GED NDVI vegetation fraction | N/A | 16-bit signed integer | N/A | N/A | 0 to 1000 | 0.001 |
| Snow_fraction | Snow fraction derived from MOD10 | N/A | 16-bit signed integer | N/A | N/A | 0 to 100 | 0.01 |
| latitude | Latitude | Degree | 32-bit floating point | N/A | N/A | -90 to 90 | N/A |
| longitude | Longitude | Degree | 32-bit floating point | N/A | N/A | -180 to 180 | N/A |
| camel_qflag | CAMEL quality flag | N/A | 16-bit signed integer | N/A | N/A | 0 to 4 | N/A |
| aster_qflag | ASTER GED quality flag | N/A | 16-bit signed integer | N/A | N/A | 0 to 3 | N/A |
| bfemis_qflag | Baseline Fit Emissivity (BFE) quality flag | N/A | 16-bit signed integer | N/A | N/A | 0 to 4 | N/A |
| Value | Description |
|---|---|
| 0 | Sea or inland water |
| 1 | Good quality of UWBF and ASTER GED data |
| 2 | Good quality of UWBF and filled ASTER GED data |
| 3 | Good quality of ASTER GED and filled UWBF data |
| 4 | Filled values used for both UWBF and ASTER GED data |
| Value | Description |
|---|---|
| 0 | No data |
| 1 | Good quality of ASTER GED data |
| 2 | Sea or inland water |
| 3 | Fill value |
| Value | Description |
|---|---|
| 0 | No MOD11 land surface temperature data |
| 1 | Baseline fit method was applied |
| 2 | Averaged from the two adjacent months |
| 3 | 2003 annual average |
| 4 | Average over annual average of all emissivity with latitude < -8 degree |
Additional quality flag information is provided in the User Guide and ATBD.
No known issues.