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Article

9 Citations

3,927 Views

17 Pages

Calibrated Integral Equation Model for Bare Soil Moisture Retrieval of Synthetic Aperture Radar: A Case Study in Linze County

Ling Zhang,
Hao Li and
Zhaohui Xue

Appl. Sci.2020, 10(21), 7921;https://doi.org/10.3390/app10217921

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8 November 2020

Soil moisture plays a significant role in surface energy balance and material exchange. Synthetic aperture radar (SAR) provides a promising data source to monitor soil moisture. However, soil surface roughness is a key difficulty in bare soil moistur...

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Article

75 Citations

6,140 Views

12 Pages

Bare Soil Surface Moisture Retrieval from Sentinel-1 SAR Data Based on the Calibrated IEM and Dubois Models Using Neural Networks

Hamid Reza Mirsoleimani,
Mahmod Reza Sahebi,
Nicolas Baghdadi and
Mohammad El Hajj

Sensors2019, 19(14), 3209;https://doi.org/10.3390/s19143209

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21 July 2019

The main purpose of this study is to investigate the performance of two radar backscattering models; the calibrated integral equation model (CIEM) and the modified Dubois model (MDB) over an agricultural area in Karaj, Iran. In the first part, the pe...

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Article

31 Citations

7,011 Views

21 Pages

Soil Moisture Retrieval Using SAR Backscattering Ratio Method during the Crop Growing Season

Minfeng Xing,
Lin Chen,
Jinfei Wang,
Jiali Shang and
Xiaodong Huang

Remote Sens.2022, 14(13), 3210;https://doi.org/10.3390/rs14133210

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4 July 2022

Soil moisture content (SMC) is an indispensable basic element for crop growth and development in agricultural production. Obtaining accurate information on SMC in real time over large agricultural areas has important guiding significance for crop yie...

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