Title :
Interpretation of surface temperature/vegetation index space for evapotranspiration estimation from SVAT modeling
Author :
Ronglin Tang;Zhao-Liang Li;Bohui Tang;Hua Wu
Author_Institution :
State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
Evapotranspiration (ET) is one of the most significant components in the water and energy transfer between land surface and atmosphere at regional and global scales. this study aims to explore the underlying mechanism in the surface temperature versus fractional vegetation cover (Ts-Fr) space for regional ET and evaporative fraction (EF) estimation through a physically-based soil-vegetation-atmosphere transfer (SVAT) simulation. It also investigates the effect of vegetation type and physiology on the relationship between EF and Ts under deep-layer water-saturated and water-stressed conditions. The preliminary results show that in the Ts-Fr space surface EF varies linearly with surface temperature when root zone layer is not water-stressed. However, the linear relationship may be different between one vegetation type and another. When root zone layer is water-stressed, the variation of root zone layer soil water content has a negligible effect on the canopy temperature but the EF can be significantly influenced.
Keywords :
"Soil","Atmospheric modeling","Estimation","Vegetation","Vegetation mapping","Land surface temperature","Temperature measurement"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326197