Retrieval of soil moisture information in Xinjiang using MODIS

doi:10.11686/cyxb2016331

Abstract

Abstract: MOD13A2, MOD11A2 and field measurements were utilized to study soil moisture variation in Xinjiang during May and June. Relationships between NDVI (Normalized Difference Vegetation Index) and Ts (Land Surface Temperature), and EVI (Enhanced Vegetation Index) and Ts were investigated. The spatial pattern of the temperature vegetation dryness index (TVDI) and influencing factors were analyzed. Results: (1) NDVI-Ts and EVI-Ts follow the classic triangle relationship. (2) Soil moisture in Xinjiang was mainly dominated by drought conditions (0.6<TVDI<0.8); Spatially, Alta, the middle slope area of the Tianshan Mountains, and the south slopes of the Kunlun Mountains are characterized by extremely wet conditions, while the north Junggar basin and southern Tarim Basin are dry. (3) The TVDI of forested land was lowest in May while the TVDI of grassland was lowest in June; soil moisture generally increased with elevation. (4) For regions with high vegetation coverage, EVI based TVDI is more suitable than NDVI based TVDI for drought monitoring. (5) The land surface temperature was better able to reflect drought conditions compared to vegetation index.

LI Hai-Xia, YANG Jing, CHEN Ya-Ning, HAO Xing-Ming. Retrieval of soil moisture information in Xinjiang using MODIS[J]. Acta Prataculturae Sinica, 2017, 26(6): 16-27.

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