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Remote Sens. 2010, 2(4), 926-938; doi:10.3390/rs2040926
Article

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

1,*  and 2
Received: 29 December 2009; in revised form: 15 March 2010 / Accepted: 19 March 2010 / Published: 30 March 2010
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Abstract: 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.
Keywords: evapotranspiration; energy balance; non-Lambertian; remote sensing; GIS; land cover; ASTER evapotranspiration; energy balance; non-Lambertian; remote sensing; GIS; land cover; ASTER
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Mariotto, I.; Gutschick, V.P. Non-Lambertian Corrected Albedo and Vegetation Index for Estimating Land Evapotranspiration in a Heterogeneous Semi-Arid Landscape. Remote Sens. 2010, 2, 926-938.

AMA Style

Mariotto I, Gutschick VP. Non-Lambertian Corrected Albedo and Vegetation Index for Estimating Land Evapotranspiration in a Heterogeneous Semi-Arid Landscape. Remote Sensing. 2010; 2(4):926-938.

Chicago/Turabian Style

Mariotto, Isabella; Gutschick, Vincent P. 2010. "Non-Lambertian Corrected Albedo and Vegetation Index for Estimating Land Evapotranspiration in a Heterogeneous Semi-Arid Landscape." Remote Sens. 2, no. 4: 926-938.


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