Integration of multi-scale thermal satellite imagery for evaluation of daily evapotranspiration at sub-field scales

摘要

Development of robust algorithms for routine monitoring of evapotranspiration (ET) over large areas at spatial resolutions that discriminate individual agricultural fields (<100 m resolution) will benefit an array of water resource management applications. Land-surface temperature (LST) derived from thermal infrared (T1R) remote sensing has proven to be a valuable input to surface energy balance algorithms for estimating ET and serves as an effective proxy for spatially distributed soil moisture and precipitation measurements. This paper will discuss a strategy for integrating GOES, MOD1S and Landsat TIR and shortwave imagery to map daily ET at 30 m resolution. The methodology has been tested over sites in southern Florida, an area where high-resolution time-continuous ET data are urgently needed for decision making by water management agencies.