数字农科院2.0

Layered Soil Moisture Retrieval and Agricultural Application Based on Multi-Source Remote Sensing and Vegetation Suppression Technology: A Case Study of Youyi Farm, China

文献类型： 外文期刊

作者： Zhonghe Zhao;Yuyang Li;Kun Liu;Chunsheng Wu;Bowei Yu;Gaohuan Liu;Youxiao Wang

作者机构：

关键词： multi-source remote sensing;random forest;soil moisture;UAV multispectral imagery;vegetation suppression

期刊名称： Remote Sensing

ISSN： 2072-4292

年卷期： 2025 年 17 卷 13 期

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Soil moisture dynamics are a key parameter in regulating agricultural productivity and ecosystem functioning. The accurate monitoring and quantitative retrieval of soil moisture play a crucial role in optimizing agricultural water resource management. In recent years, the development of multi-source remote sensing technologies—such as high spatiotemporal resolution optical, radar, and thermal infrared sensors—has opened new avenues for efficient soil moisture retrieval. However, the accuracy of soil moisture retrieval decreases significantly when the soil is covered by vegetation. This study proposes a multi-modal remote sensing collaborative retrieval framework that integrates UAV-based multispectral imagery, Sentinel-1 radar data, and in situ ground sampling. By incorporating a vegetation suppression technique, a random-forest-based quantitative soil moisture model was constructed to specifically address the interference caused by dense vegetation during crop growing seasons. The results demonstrate that the retrieval performance of the model was significantly improved across different soil depths (0–5 cm, 5–10 cm, 10–15 cm, 15–20 cm). After vegetation suppression, the coefficient of determination (R2) exceeded 0.8 for all soil layers, while the mean absolute error (MAE) decreased by 35.1% to 49.8%. This research innovatively integrates optical–radar–thermal multi-source data and a physically driven vegetation suppression strategy to achieve high-accuracy, meter-scale dynamic mapping of soil moisture in vegetated areas. The proposed method provides a reliable technical foundation for precision irrigation and drought early warning.

分类号：

  • 相关文献

[1]Regional Soil Moisture Estimation Leveraging Multi-Source Data Fusion and Automated Machine Learning. Shenglin Li,Pengyuan Zhu,Ni Song,Caixia Li,Jinglei Wang. 2025

[2]Relationships Between Oat Phenotypes and UAV Multispectral Imagery Under Different Water Deficit Conditions by Structural Equation Modelling. Yayang Feng,Guoshuai Wang,Jun Wang,Hexiang Zheng,Xiangyang Miao,Xiulu Sun,Peng Li,Yan Li,Yanhui Jia. 2025

[3]Spatiotemporal Patterns of Cropland Sustainability in Black Soil Zones Based on Multi-Source Remote Sensing: A Case Study of Heilongjiang, China. Jing Yang,Li Wang,Jinqiu Zou,Lingling Fan,Yan Zha. 2025

[4]High-Precision Tea Plantation Mapping with Multi-Source Remote Sensing and Deep Learning. Yicheng Zhou,Lingbo Yang,Lin Yuan,Xin Li,Yihu Mao,Jiancong Dong,Zhenyu Lin,Xianfeng Zhou. 2024

[5]Chlorophyll dynamic fusion based on high-throughput remote sensing and machine learning algorithms for cotton yield prediction. Jiajie Yang,Bowei Xu,Bin Wu,Rumeng Zhao,Le Liu,Fuguang Li,Xiantao Ai,Liqiang Fan,Zuoren Yang. 2025

[6]Deciphering the Routes of invasion of Drosophila suzukii by Means of ABC Random Forest. Fraimout, Antoine,Debat, Vincent,Fellous, Simon,Hufbauer, Ruth A.,Foucaud, Julien,Loiseau, Anne,Estoup, Arnaud,Hufbauer, Ruth A.,Pudlo, Pierre,Marin, Jean-Michel,Price, Donald K.,Cattel, Julien,Chen, Xiao,Depra, Marindia,Duyck, Pierre Francois,Guedot, Christelle,Kenis, Marc,Kimura, Masahito T.,Loeb, Gregory,Martinez-Sanudo, Isabel,Pascual, Marta,Richmond, Maxi Polihronakis,Shearer, Peter,Singh, Nadia,Tamura, Koichiro,Zhang, Jinping.

[7]Rapid classification of peanut varieties for their processing into peanut butters based on near‐infrared spectroscopy combined with machine learning. Hongwei Yu,Sara W. Erasmus,Qiang Wang,Hongzhi Liu,Saskia M. van Ruth. 2023

[8]Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs. Yang Liu,Haikuan Feng,Jibo Yue,Yiguang Fan,Xiuliang Jin,Xiaoyu Song,Hao Yang,Guijun Yang. 2022

[9]Characterization and discrimination of the flavor profiles of Chinese indigenous sheep breeds via electronic sensory, smart instruments and chemometrics. Can Xiang,Shaobo Li,Dequan Zhang,Caiyan Huang,Yingxin Zhao,Xiaochun Zheng,Zhenyu Wang,Li Chen. 2023

[10]Comparing Machine Learning Algorithms for Pixel/Object-Based Classifications of Semi-Arid Grassland in Northern China Using Multisource Medium Resolution Imageries. Wu N.,Crusiol L.G.T.,Liu G.,Wuyun D.,Han G.. 2023

[11]Statistical analysis of nitrogen use efficiency in Northeast China using multiple linear regression and Random Forest. Ying xia LIU,Gerard B.M. HEUVELINK,Zhanguo BAI,Ping HE,Rong JIANG,Shao hui HUANG,Xin peng XU. 2022

[12]Machine learning technique combined with data fusion strategies: A tea grade discrimination platform. Qianqian Li,Chaoyang Zhang,Huawei Wang,Shengfan Chen,Wei Liu,Yi Li,Jianxun Li. 2023

[13]Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes. Tian Xia,Zhen He,Zhiwen Cai,Cong Wang,Wenjing Wang,Jiayue Wang,Qiong Hu,Qian Song. 2022

[14]A novel landslide susceptibility optimization framework to assess landslide occurrence probability at the regional scale for environmental management. Sun X.,Yuan L.,Tao S.,Liu M.,Li D.,Zhou Y.,Shao H.. 2022

[15]An Adaptive Image Segmentation Method with Automatic Selection of Optimal Scale for Extracting Cropland Parcels in Smallholder Farming Systems. Zhiwen Cai,Qiong Hu,Xinyu Zhang,Jingya Yang,Haodong Wei,Zhen He,Qian Song,Cong Wang,Gaofei Yin,Baodong Xu. 2022

[16]Estimation of soil organic carbon stock and its controlling factors in cropland of Yunnan Province, China. Tao SUN,Wen jie TONG,Nai jie CHANG,Ai xing DENG,Zhong long LIN,Xing bing FENG,Jun ying LI,Zhen wei SONG. 2022

[17]A framework for generating high spatiotemporal resolution land surface temperature in heterogeneous areas. Xinming Zhu,Xiaoning Song,Pei Leng,Xiaotao Li,Liang Gao,Da Guo,Shuohao Cai. 2021

[18]Authentication of apples from the Loess Plateau in China based on interannual element fingerprints and multidimensional modelling. Jianyi Zhang,Youming Shen,Ning Ma,Guofeng Xu. 2023

[19]A new approach to LST modeling and normalization under clear-sky conditions based on a local optimization strategy. Majid Kiavarz,Mohammad Karimi Firozjaei,Seyed Kazem Alavipanah,Quazi K. Hassan,Yoann Malbéteau,Si Bo Duan. 2022

[20]Identifying the Influencing Factors of Plastic Film Mulching on Improving the Yield and Water Use Efficiency of Potato in the Northwest China. Juzhen Xu,Yanbo Wang,Yuanquan Chen,Wenqing He,Xiaojie Li,Jixiao Cui. 2023

作者其他论文 更多>>