归一化差异植被指数
环境科学
遥感
蒸散量
中分辨率成像光谱仪
卫星
图像分辨率
植被(病理学)
基本事实
气象学
气候变化
地质学
地理
计算机科学
医学
生态学
海洋学
病理
航空航天工程
人工智能
机器学习
工程类
生物
作者
Kaicun Wang,Zhanqing Li,Maureen Cribb
标识
DOI:10.1016/j.rse.2006.02.007
摘要
Satellite remote sensing is a promising technique to estimate global or regional evapotranspiration (ET) or evaporative fraction (EF) of the surface total net radiation budget. The current methods of estimating the ET (or EF) from the gradient between land surface temperature (Ts) and near surface air temperature are very sensitive to the retrieval errors of Ts and the interpolation errors of air temperature from the ground-based point measurements. Two types of methods have been proposed to reduce this sensitivity: the thermal inertia method and the Ts–normalized difference vegetation index (NDVI) (Ts–NDVI) spatial variation method. The former is based on the temporal difference between Ts retrievals, and the latter uses the spatial information of Ts. Another approach is proposed here that combines the advantages of the two types of methods and uses day–night Ts difference–NDVI (ΔTs–NDVI). Ground-based measurements collected by Energy Balance Bowen Ratio systems at the 11 enhanced facilities located at the Southern Great Plains of the United States from April 2001 to May 2005 were analyzed to identify parameterization of EF. ΔTs–NDVI spatial variations from the Aqua and Terra MODerate-resolution Imaging Spectroradiometer (MODIS) global daily products, at 1 km resolution were used to estimate EF. Ground-based measurements taken during 16 days in 2004 were used to validate the MODIS EF retrievals. The EFs retrieved from the spatial variations of ΔTs–NDVI show a distinct improvement over that retrieved from the ΔTs–NDVI. The EF can be retrieved with a mean relative accuracy of about 17% with the proposed ΔTs–NDVI spatial variations.
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