Satellite-derived vegetation temperature condition index to infer root zone soil moisture in semi-arid province of Rajasthan, India

被引:24
作者
Patel, N. R. [1 ]
Mukund, Ambika [1 ]
Parida, Bikash Ranjan [2 ]
机构
[1] Indian Inst Remote Sensing, Dept Agr & Soil, Dehra Dun, Uttar Pradesh, India
[2] Cent Univ Jharkhand, Sch Nat Resource Management, Dept Geoinformat, Ranchi, Bihar, India
关键词
Root-zone soil moisture; in-situ volumetric moisture; NDVI-Ts space; VTCI; MODIS; drought assessment; ENERGY FLUXES; TRIANGLE METHOD; WATER CONTENT; DROUGHT; MODIS; RESOLUTION; PRODUCTS; AREAS; SCALE; NDVI;
D O I
10.1080/10106049.2019.1704074
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soil moisture is one of the key state variable to regulate the water and energy budgets at the soil-plant-atmosphere continuum. This study demonstrates the utility of Vegetation Temperature Condition Index (VTCI), developed from interpretation of NDVI-Ts space using MODIS, to estimate soil moisture status at a spatial resolution of 1-km in Rajasthan province. The key findings reveal that VTCI at 1-km resolution and computed for the whole image (Method-1) was found to be more representative of the average profile soil moisture condition than the other methods. Statistical regression between VTCI and in-situ volumetric soil moisture for the surface and at depths of 15, 30 and 45 cm for the prominent crops in Eastern Rajasthan showed a strong relation (R-2 = 0.63, p-value <0.01). Thus, it is suggested that VTCI is useful to infer soil moisture beneath the surface over semi-arid areas for agricultural drought assessment.
引用
收藏
页码:179 / 195
页数:17
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