NASA's MEaSUREs program provides a monthly global climatology of land surface emissivity covariances. The dataset contains mean and variance values for 416 spectral points across a 0.25-degree grid, derived from 19 years of combined ASTER and MODIS observations from 2003 through 2021. LPCLOUD produced this V003 product as part of the CAMEL data suite.
Use Cases
- Analyze seasonal patterns in emissivity variance across different land cover types using the monthly variance variable.
- Improve atmospheric correction models by incorporating the spectral covariance matrix data from the 416 spectral points.
- Validate high-resolution emissivity products by comparing them against the long-term mean emissivity values on the 0.25-degree grid.
- Study interannual variability in land surface properties using the 19-year time series of monthly covariance data.
Strengths
- 19 years of continuous monthly data from 2003 to 2021
- Global coverage at 0.25-degree spatial resolution (~25 km)
- Includes covariance data for 416 spectral points per grid cell
Limitations
- Spatial resolution of 25 km may be too coarse for local-scale studies
- Product ends in 2021, lacking recent years
- Methodology relies on the underlying CAM5K30EM emissivity product's accuracy
Provenance
- Source
- NASA MEaSUREs program, combining ASTER and MODIS satellite data.
- Collection Method
- Derived from the V003 CAMEL Emissivity product (CAM5K30EM), creating monthly covariance matrices.
- Time Range
- 2003-01-01 to 2021-12-31
- Freshness
- null
- Geography
- Global land coverage