Reconstruction of Petermann glacier velocity time series using multi-source remote sensing images by Zongze Li, Jinsong Chong, Yawei Zhao, Lijie Diao

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Vapor pressure deficit (VPD) downscaling based on multi-source remote sensing, in-situ observation, and machine learning in China by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

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Characterizing Crop Distribution and the Impact on Forest Conservation in Central Africa by Mohammed S. Ozigis, Serge Wich, Mahsa Abdolshahnejad, Adrià Descals, Zoltan Szantoi, Douglas Sheil, Erik Meijaard

Subjects: “…multi-source remote sensing data…”
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Mapping the tidal marshes of coastal Virginia: a hierarchical transfer learning approach by Zhonghui Lv, Karinna Nunez, Ethan Brewer, Dan Runfola

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Remote Sensing Drought Monitoring and Assessment in Southwestern China based on Machine Learning by Hejia JIA, Xiehui LI, Lei WANG, Yuting XUE, Huiquan LIN

Subjects: “…multi-source remote sensing…”
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Regional Soil Moisture Estimation Leveraging Multi-Source Data Fusion and Automated Machine Learning by Shenglin Li, Pengyuan Zhu, Ni Song, Caixia Li, Jinglei Wang

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Flood Mapping and Assessment of Crop Damage Based on Multi-Source Remote Sensing: A Case Study of the “7.27” Rainstorm in Hebei Province, China by Chenhao Wen, Zhongchang Sun, Hongwei Li, Youmei Han, Dinoo Gunasekera, Yu Chen, Hongsheng Zhang, Xiayu Zhao

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

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Spatiotemporal Mapping of Soil Profile Moisture in Oases in Arid Areas by Zihan Zhang, Jinjie Wang, Jianli Ding, Jinming Zhang, Li Li, Liya Shi, Yue Liu

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Satellites unveil long-term phenological shifts and environmental drivers of algal blooms in plateau lakes of southwestern China by Hechuan Wang, Tianci Qi, Feng Chen, Jing Li, Jiachang Wei, Honghua Cao

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Monitoring Water Area Dynamics in Kashgar (2003–2023) Using Multi-Source Remote Sensing Data by Cong Ding, Chao Ren

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A cluster-based local modeling paradigm for high spatiotemporal resolution VPD prediction using multi-source data and machine learning by Mi Wang, Zhuowei Hu, Xiangping Liu, Wenxing Hou

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Application of multi-source remote sensing technologies in identification and evolution mechanism analysis of creep landslides: a case study of Shibatai landslide in Wenchuan earth... by Defu Wang, Li Liu, Li Liu, Chao Luo, Xuehu Wen, Yongxin Li, Dongyu Ren, Wei Tang

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Dynamic gating-enhanced deep learning model with multi-source remote sensing synergy for optimizing wheat yield estimation by Jian Li, Jian Li, Junrui Kang, Junrui Kang, Jian Lu, Jian Lu, Hongkun Fu, Hongkun Fu, Zheng Li, Zheng Li, Baoqi Liu, Xinglei Lin, Xinglei Lin, Jiawei Zhao, Hengxu Guan, He Liu, Zhihan Liu

Subjects: “…multi-source remote sensing…”
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Lithology classification integrating multi-source remote sensing data after vegetation suppression: a case study from Inner Mongolia Autonomous Region, China by Jiaxin Lu, Ling Han, Junfeng Wang, Liangzhi Li, Zhaode Xia

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Fine-Scale Variations and Driving Factors of GPP Derived from Multi-Source Data Fusion in the Mountainous Region of Northwestern Hubei by Dicheng Bai, Yuchen Wang, Yongming Ma, Huanhuan Li, Xiaobin Guan

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MSIMRS: Multi-Scale Superpixel Segmentation Integrating Multi-Source Remote Sensing Data for Lithology Identification in Semi-Arid Area by Jiaxin Lu, Liangzhi Li, Junfeng Wang, Ling Han, Zhaode Xia, Hongjie He, Zongfan Bai

Subjects: “…multi-source remote sensing data…”
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Construction and application of a drought classification model for tea plantations based on multi-source remote sensing by Yang Xu, Yilin Mao, He Li, Xiaojiang Li, Litao Sun, Kai Fan, Zhipeng Li, Shuting Gong, Zhaotang Ding, Yu Wang

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Layered Soil Moisture Retrieval and Agricultural Application Based on Multi-Source Remote Sensing and Vegetation Suppression Technology: A Case Study of Youyi Farm, China by Zhonghe Zhao, Yuyang Li, Kun Liu, Chunsheng Wu, Bowei Yu, Gaohuan Liu, Youxiao Wang

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

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