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Open AccessArticle

The Capability of Integrating Optical and Microwave Data for Detecting Soil Moisture in an Oasis Region

by Shuai Huang 1,2, Jianli Ding 1,2,*, Bohua Liu 1,2, Xiangyu Ge 1,2, Jinjie Wang 1,2, Jie Zou 1,2 and Junyong Zhang 1,2
1
College of Resources and Environment Sciences, Xinjiang University, Urumqi 830046, China
2
Key Laboratory of Oasis Ecology under Ministry of Education, Xinjiang University, Urumqi 830046, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(9), 1358; https://doi.org/10.3390/rs12091358
Received: 19 February 2020 / Revised: 22 April 2020 / Accepted: 24 April 2020 / Published: 25 April 2020
(This article belongs to the Special Issue Monitoring Soil Degradation by Remote Sensing)
In the earth ecosystem, surface soil moisture is an important factor in the process of energy exchange between land and atmosphere, which has a strong control effect on land surface evapotranspiration, water migration, and carbon cycle. Soil moisture is particularly important in an oasis region because of its fragile ecological environment. Accordingly, a soil moisture retrieval model was conducted based on Dubois model and ratio model. Based on the Dubois model, the in situ soil roughness was used to simulate the backscattering coefficient of bare soil, and the empirical relationship was established with the measured soil moisture. The ratio model was used to eliminate the backscattering contribution of vegetation, in which three vegetation indices were used to characterize vegetation growth. The results were as follows: (1) the Dubois model was used to calibrate the unknown parameters of the ratio model and verified the feasibility of the ratio model to simulate the backscattering coefficient. (2) All three vegetation indices (Normalized Difference Vegetation Index (NDVI), Vegetation Water Content (VWC), and Enhanced Vegetation Index (EVI)) can represent the scattering characteristics of vegetation in an oasis region, but the VWC vegetation index is more suitable than the others. (3) Based on the Dubois model and ratio model, the soil moisture retrieval model was conducted, and the in situ soil moisture was used to analyze the accuracy of the simulated soil moisture, which found that the soil moisture retrieval accuracy is the highest under VWC vegetation index, and the coefficient of determination is 0.76. The results show that the soil moisture retrieval model conducted on the Dubois model and ratio model is feasible. View Full-Text
Keywords: sentinel-1 microwave remote sensing; Dubois model; topp model; ratio model sentinel-1 microwave remote sensing; Dubois model; topp model; ratio model
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Huang, S.; Ding, J.; Liu, B.; Ge, X.; Wang, J.; Zou, J.; Zhang, J. The Capability of Integrating Optical and Microwave Data for Detecting Soil Moisture in an Oasis Region. Remote Sens. 2020, 12, 1358.

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