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GIScience & Remote Sensing Volume 58, 2021 - Issue 1
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Research Article

Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands

Zhen Wanga College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing, ChinaView further author information
,
Tianjie Zhaob State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-0914-599XView further author information
ORCID Icon,
Jianxiu Qiuc School of Geography and Planning, Sun Yat-Sen University, Guangzhou, ChinaORCID Iconhttps://orcid.org/0000-0002-1275-4171View further author information
ORCID Icon,
Xuesheng Zhaoa College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing, ChinaORCID Iconhttps://orcid.org/0000-0003-4780-9723View further author information
ORCID Icon,
Rui Lib State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaView further author information
&
Shu Wangd National Meteorological Information Center, Beijing, ChinaView further author information
Pages 48-67 | Received 14 Mar 2020, Accepted 24 Nov 2020, Published online: 30 Dec 2020

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Neena M. Gopi & Shoba Periasamy. (2023) Appraising the crop health response to water stress from enhanced crop and soil water estimates using SAR data and machine learning approaches. International Journal of Remote Sensing 44:13, pages 4190-4216.
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Articles from other publishers (16)

Preet Lal, Gurjeet Singh, Narendra N. Das, Dara Entekhabi, Rowena Lohman, Andreas Colliander, Dharmendra Kumar Pandey & R.K. Setia. (2023) A multi-scale algorithm for the NISAR mission high-resolution soil moisture product. Remote Sensing of Environment 295, pages 113667.
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Dayou Luo, Xingping Wen & Shuling Li. (2023) An improved method for estimating soil moisture over cropland using SAR and optical data. Earth Science Informatics 16:2, pages 1909-1916.
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Jiahe Cui, Yuchi Wang, Yantao Wu, Zhiyong Li, Hao Li, Bailing Miao, Yongli Wang, Chengzhen Jia & Cunzhu Liang. (2023) Soil Moisture Inversion in Grassland Ecosystem Using Remote Sensing Considering Different Grazing Intensities and Growing Seasons. Sustainability 15:8, pages 6515.
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Liujun Zhu, Shanshui Yuan, Yi Liu, Cheng Chen & Jeffrey P. Walker. (2023) Time series soil moisture retrieval from SAR data: Multi-temporal constraints and a global validation. Remote Sensing of Environment 287, pages 113466.
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Sijia Feng, Jianxiu Qiu, Wade T. Crow, Xingguo Mo, Suxia Liu, Sheng Wang, Lun Gao, Xinghan Wang & Shuisen Chen. (2023) Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland. Journal of Hydrology 617, pages 129015.
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Zhen Wang, Tianjie Zhao, Jiancheng Shi, Hongquan Wang, Dabin Ji, Panpan Yao, Jingyao Zheng, Xuesheng Zhao & Xia Xu. (2023) 1-km soil moisture retrieval using multi-temporal dual-channel SAR data from Sentinel-1 A/B satellites in a semi-arid watershed. Remote Sensing of Environment 284, pages 113334.
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Dayou Luo, Xingping Wen & Junlong Xu. (2022) All-Sky Soil Moisture Estimation over Agriculture Areas from the Full Polarimetric SAR GF-3 Data. Sustainability 14:17, pages 10866.
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Liangliang Tao, Dongryeol Ryu, Andrew Western & Sun-Gu Lee. (2022) Comparison of KOMPSAT-5 and Sentinel-1 Radar Data for Soil Moisture Estimations Using a New Semi-Empirical Model. Remote Sensing 14:16, pages 4042.
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Minfeng Xing, Lin Chen, Jinfei Wang, Jiali Shang & Xiaodong Huang. (2022) Soil Moisture Retrieval Using SAR Backscattering Ratio Method during the Crop Growing Season. Remote Sensing 14:13, pages 3210.
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Jingyao Zheng, Tianjie Zhao, Haishen Lü, Jiancheng Shi, Michael H. Cosh, Dabin Ji, Lingmei Jiang, Qian Cui, Hui Lu, Kun Yang, Jean-Pierre Wigneron, Xiaojun Li, Yonghua Zhu, Lu Hu, Zhiqing Peng, Yelong Zeng, Xiaoyi Wang & Chuen Siang Kang. (2022) Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China. Remote Sensing of Environment 271, pages 112891.
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Emna Ayari, Zeineb Kassouk, Zohra Lili-Chabaane, Nicolas Baghdadi & Mehrez Zribi. (2022) Investigation of Multi-Frequency SAR Data to Retrieve the Soil Moisture within a Drip Irrigation Context Using Modified Water Cloud Model. Sensors 22:2, pages 580.
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Maria Arias, Miguel Angel Campo-Bescos, Luis Miguel Arregui, Maria Gonzalez-Audicana & Jesus Alvarez-Mozos. (2022) A New Methodology for Wheat Attenuation Correction at C-Band VV-Polarized Backscatter Time Series. IEEE Transactions on Geoscience and Remote Sensing 60, pages 1-14.
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Zemian Wu, Jianxiu Qiu, Wade T. Crow, Dagang Wang, Zhengang Wang & Xiaohu Zhang. (2022) Investigating the Efficacy of the SMAP Downscaled Soil Moisture Product for Drought Monitoring Based on Information Theory. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15, pages 1604-1616.
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Veena Shashikant, Abdul Rashid Mohamed Shariff, Aimrun Wayayok, Md Rowshon Kamal, Yang Ping Lee & Wataru Takeuchi. (2021) Comparison of Field and SAR-Derived Descriptors in the Retrieval of Soil Moisture from Oil Palm Crops Using PALSAR-2. Remote Sensing 13:23, pages 4729.
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Ya Gao, Maofang Gao, Liguo Wang & Offer Rozenstein. (2021) Soil Moisture Retrieval over a Vegetation-Covered Area Using ALOS-2 L-Band Synthetic Aperture Radar Data. Remote Sensing 13:19, pages 3894.
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Emna Ayari, Zeineb Kassouk, Zohra Lili Chabaane, Nicolas Baghdadi, Safa Bousbih & Mehrez Zribi. (2021) ALOS-2 and Sentinel-1 use for retrieving soil moisture over cereal fields in semi-arid area: the Kairouan plain – central Tunisia. ALOS-2 and Sentinel-1 use for retrieving soil moisture over cereal fields in semi-arid area: the Kairouan plain – central Tunisia.

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