Simultaneous retrieval of soil moisture and salinity in arid and semiarid regions using Sentinel-1 data and a revised dielectric model for salty soil
Soil moisture and salinity (SMS) are two critical factors in crop growth, and monitoring their dynamic has important scientific value and social benefits for preventing land degradation and improving land productivity. However, the current methodology treats soil moisture and salinity as two independent variables to be estimated separately, completely ignoring their joint influence on the microwave signal. In this paper, the Jingdian irrigated region, which is located in northwestern China, is selected as an example, the contents of soil volumetric water and soil salt are measured separately for different seasons in the research area, and they are also retrieved simultaneously by combining Sentinel-1 data and a revised dielectric model of salty soil. The results demonstrate that the Sentinel-1 data can achieve satisfactory results in the simultaneous retrieval of SMS, with R 2 values higher than 0.53. The RMSE values in the upward track are less than 0.042 m 3 /m 3 and 3.132 mS/cm, respectively, which are smaller than in the downward track, with the RMSE values less than 0.051 m 3 /m 3 and 3.84 mS/cm, respectively. The average value of soil moisture content in winter is 0.17 m 3 /m 3 , which is higher than in spring, with a value of 0.21 m 3 /m 3 . The soil salt content increases gradually over the study period, with average values of 1.88 mS/cm in spring and 3.58 mS/cm in winter, respectively. In addition, vegetation, surface roughness, precipitation, and agricultural activities are the main factors affecting the simultaneous retrieval of SMS. • The soil moistrue and salinity (SMS) were retrieved simultaneously using Sentinel-1 data and a revised dielectric model. • The validation of retrieval accuracy of SMS was conducted for different orbital data and different seasons. • The SMS changes during the study period were analyzed thoroughly in terms of natural and human dimensions. • The scientific reference and theoretical support for SMS monitor using microwave technology are provided.
Authors
- Xin Huang (ORCID: https://orcid.org/0000-0003-2466-4373)
- Leilei Dong (ORCID: https://orcid.org/0000-0003-0718-4757)
- Shengyin Zhang (ORCID: https://orcid.org/0000-0003-3310-8491)
- Tao Che (ORCID: https://orcid.org/0000-0002-1620-3027)
- Yuhao Wang (ORCID: https://orcid.org/0009-0001-2129-1762)
- Weizhen Wang (ORCID: https://orcid.org/0000-0001-7078-0485)
- Feinan Xu
- Jiaojiao Feng (ORCID: https://orcid.org/0000-0002-9487-4774)
Institutions
- Gansu Agricultural University (CN)
- Northwest Institute of Eco-Environment and Resources (CN)
- University of Maryland, College Park (US)
Publication Details
- Journal
- Agricultural Water Management
- Published
- 2025-03-08
- DOI
- https://doi.org/10.1016/j.agwat.2025.109410
- Citations
- 4
- Primary Topic
- Soil Moisture and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 3.20