4.7 Article

Using directional TIR measurements and 3D simulations to assess the limitations and opportunities of water stress indices

Journal

REMOTE SENSING OF ENVIRONMENT
Volume 90, Issue 1, Pages 53-62

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2003.09.008

Keywords

surface temperature; directional effects; sunlit soil fraction; water stress index; 3D modeling; row-cotton crop

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Multidirectional remotely sensed optical and thermal images acquired within a row cotton crop in Montpellier (France) were used to test the opportunities and limitations of an existing water stress index, the Water Deficit Index (WDI, based on the trapezoid approach). The WDI was applied with multidirectional crop surface temperatures (T-s) and reflectance data acquired on a row-cotton crop with different water and cover conditions from 11 different view angles in the east/west plane. This data set allowed a biophysical analysis of this index both inside and outside its validity domain, initially limited in terms of T-s measurements in a [ - 20degrees, + 20degrees] view angles interval around nadir. Results showed that the WDI was a robust approach, since its calculation is based on the relationship between crop cover and T,. However, it yielded some directional errors in the case of sparse crops even in its validity domain where the relative variation of WDI between oblique angles and nadir could reach 14% (and more than 40% for larger view angles). The same degree of variability was observed between WDI values estimated on a same plot at two different times in a given day from a nadir observation. In a large range of crop heterogeneity, hourly sunlit soil fraction presented a stronger influence on T, than the total soil fraction. However, by adapting the view angle to daytime measurements and crop structure, it seemed possible to overcome sunlit soil effects. These experimental results were tested and extrapolated using a 3D crop energy balance model (Thermo). It allowed simulations of directional T measurements according to various sun/sensor angular configurations, crop structure, and water status characteristics. This confirmed the limitations of the trapezoid method both within and outside its validity domain. Moreover, Thermo allowed the computation of a directional WDI accounting for angular and hourly sunlit soil effects variability on Ts. The interest of adapting the view angle to daytime measurements and crop structure was confirmed by comparing this directional WDI with the theoretical one (based on the original trapezoid approach). These results should encourage further development of water stress indices based on bidirectional thermal infrared and optical measurements to quantify and thus overcome sunlit soil fraction effects. (C) 2004 Elsevier Inc. All rights reserved.

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