Abstract
Soil moisture and vegetation index provides valuable information for surface water content and drought assessment with remotely sensed data. In this paper, a new drought monitoring method (MPDI1) with soil moisture and vegetation index is constructed in NIR-Red reflectance space. The relationship between MPDI1 and soil moisture is explored using satellite image and field measure data, and a comparison among MPDI1, the Perpendicular Drought Index (PDI), and the Modified Perpendicular Drought Index (MPDI) is also evaluated. Results indicate that the MPDI1 is highly accordant with the in-situ ground observation with the coefficient of determination (R2=0.4905) between MPDI1 and 5-20 cm mean soil moisture. Moreover, PDI, MPDI and MPDI1 provide quite similar spatial patterns for bare soil or lower vegetated surface, but MPDI1 demonstrates a better performance in measuring densely vegetated surface. This paper concludes that MPDI1 is a useful tool for surface drought estimation under complex underlying conditions.
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