Retrieval of soil moisture in Yanqi Basin based on TVDI and VSWI models with different vegetation indices

doi:10.14088/j.cnki.issn0439-8114.2021.21.028

Abstract

Abstract: This article take the Yanqi Basin in Xinjiang as an example, in this paper Landsat 8 OLI data was used to calculate the normalized vegetation index （NDVI）, enhanced vegetation index （EVI）, modified soil adjusted vegetation index （MSAVI）, soil adjusted vegetation index （SAVI） and land surface temperature （Ts）, establishes TVDI model and VSWI model were applied to retrieve the soil moisture of Yanqi Basin, compared to the adaptability of different soil moisture retrieval models and the spatial distribution characteristics of soil moisture in Yanqi Basin were further analyzed. The results show that establishing the spatial characteristics of NDVI-Ts, MSAVI-Ts, SAVI-Ts and EVI-Ts and the scatter points of NDVI-Ts, MSAVI-Ts, SAVI-Ts and EVI-Ts conform to the relationship of triangles with R² above 0.83; TVDI and VSWI were calculated by NDVI, MSAVI, SAVI and EVI have negative correlation with RSM data of 0~10 cm soil relative humidity, and the two models showed high consistency. TVDI and VSWI retrieved by MSAVI have the highest correlation,R²=0.296,R²=0.235,respectively; The Yanqi Basin was mainly featured with semi-arid （0.6<TVDI, VSWI<0.8） and arid characteristics（TVDI, VSWI>0.8）; The spatial pattern of soil moisture： Normal phenomena appear in the middle of the Yanqi Basin, and arid areas mainly distributed in the southeast and northeast. TVDI and VSWI models are applicable for the inversion of soil moisture in the Yanqi Basin and the research results provide better reference information for the study of water resources and ecological environment in Yanqi Basin.

Key words: Yanqi Basin, TVDI model, VSWI model, Landsat 8 OLI, vegetation index

CLC Number:

K909
X825

DILIHUMAER·Ahanmujiang, YUSUFUJIANG·Rusuli, MAIHEMUTIJIANG·Weijidan, ZHANG Fa, CHENG Shi-xue, YAXIAER·Aisikeer. Retrieval of soil moisture in Yanqi Basin based on TVDI and VSWI models with different vegetation indices[J]. HUBEI AGRICULTURAL SCIENCES, 2021, 60(21): 122-129.

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