Subsurface Soil Moisture Estimation by VI-LST Method

被引：36
作者：
Holzman, M. E. [1 ]
Rivas, R. [1 ]
Bayala, M. [1 ]
机构：
[1] Inst Hidrol Llanuras Dr Eduardo Usunoff, Buenos Aires, DF, Argentina
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2014年 / 11卷 / 11期
关键词：
Optical-thermal; soil moisture (SM); stress index; SURFACE-TEMPERATURE; CRESTED WHEATGRASS; VEGETATION INDEX; THERMAL INERTIA; EVAPOTRANSPIRATION; ALBERTA; ROOTS; SCALE; NDVI;
D O I：
10.1109/LGRS.2014.2314617
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
In this letter, the relationship between temperature vegetation dryness index (TVDI) from the Moderate Resolution Imaging Spectroradiometer and subsurface soil moisture (SM) over crop and native grassland of the Argentine Pampas is analyzed. High correlation (R-2 > 0.69) between TVDI and SM measurements was found at different soil depths. In addition, we found that the potential of this index to reflect subsurface soil wetness fluctuations depends on root system depth, root distribution in the soil, and physical soil characteristics. Results indicate that thermal and reflectance data combination could be used to monitor subsurface SM below vegetated areas.
引用
收藏
页码：1951 / 1955
页数：5
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