GC22D-08
Mapping land surface energy budget from the AVIRIS and MASTER data

Tuesday, 15 December 2015: 12:05
3014 (Moscone West)
Dongdong Wang and Shunlin Liang, University of Maryland College Park, College Park, MD, United States
Abstract:
Mapping land surface energy budget from the AVIRIS and MASTER data

Dongdong Wang, Shunlin Liang, Tao He, Qinqing Shi

Department of Geographical Sciences

University of Maryland, College Park, MD 20742

The synergy of the AVIRIS and MASTER data with high spatial and spectral resolutions provides us an unprecedented data resource to study the spatial variability of the land-atmosphere exchange of water, carbon and energy at the ecosystem scale. Supported by the NASA HyspIRI program, we have worked on developing algorithms to estimate quantities of surface energy and radiation budget from AVIRIS and MASTER data collected by the HyspIRI preparatory airborne campaign. We will here present results of algorithm development and data analysis, including 1) retrieving broadband surface albedo from AVIRIS, 2) estimating surface shortwave net radiation from hyperspectral data, 3) combing VSWIR and TIR data to estimate all-wave net radiation, and 4) mapping evapotranspiration from MASTER and ancillary data. Validation against field measurements and other satellite data suggests that surface albedo, shortwave net radiation, all-wave net radiation and ET can be estimated with improved resolution and accuracy from the AVIRIS and MASTER data.