Non-Lambertian Corrected Albedo and Vegetation Index for Estimating Land Evapotranspiration in a Heterogeneous Semi-Arid Landscape

Remote Sensing

Isabella Mariotto¹ 

[1] Biology Department, New Mexico State University, Las Cruces, NM 88003, USA

关键词: evapotranspiration;    energy balance;    non-Lambertian;    remote sensing;    GIS;    land cover;    ASTER;   

DOI  :  10.3390/rs2040926

来源: mdpi

【 摘 要 】

The application of energy balance algorithms to remotely sensed imagery often fails to account for surface roughness variation with diverse land cover, resulting in poor resolution of evapotranspiration (ET) variations. Furthermore, the assumption of a horizontally homogeneous Lambertian surface reflecting energy equally in all directions affects the calculations of albedo and vegetation index. The primary objective of this study is to improve the accuracy of the estimation and discrimination of ET among different land cover types in Southern New Mexico from ASTER datasets, by formulating the spatial variation of non-Lambertian reflectance using a wavelength-dependent Minnaert function.

【 授权许可】

CC BY   
© 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.