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Publication search results
found 699 matches
- 2024
- Elijah K. Cheruiyot, Mito Collins, Massimo Menenti:
An improved method of soil moisture meter calibration for satellite data validation at watershed scale. Earth Sci. Informatics 17(1): 117-129 (2024) - David Fairbairn, Patricia de Rosnay, Peter Weston:
Evaluation of an Adaptive Soil Moisture Bias Correction Approach in the ECMWF Land Data Assimilation System. Remote. Sens. 16(3): 493 (2024) - Zhaolu Hou, Zhaoxia Pu:
Assessing CYGNSS Satellite Soil Moisture Data for Drought Monitoring with Multiple Datasets and Indicators. Remote. Sens. 16(1): 116 (2024) - Yongwei Liu, Wei Cui, Zhe Ling, Xingwang Fan, Jianzhi Dong, Chengmei Luan, Rong Wang, Wen Wang, Yuanbo Liu:
The Impact of Satellite Soil Moisture Data Assimilation on the Hydrological Modeling of SWAT in a Highly Disturbed Catchment. Remote. Sens. 16(2): 429 (2024) - Qunming Wang, Ping Ji, Peter M. Atkinson:
Fusion of Surface Soil Moisture Data for Spatial Downscaling of Daily Satellite Precipitation Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 1053-1065 (2024) - Xiaoling Wu, Jeffrey P. Walker, Nan Ye:
Evaluation of the Bayesian Downscaling Algorithm for Achieving Higher Resolution Soil Moisture Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 5332-5344 (2024) - Xiao-Jing Han, Na Yao, Zihao Wu, Pei Leng, Wenjing Han, Xueyuan Chen:
Simultaneous Retrieval of Land Surface Temperature and Soil Moisture Using Multichannel Passive Microwave Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-10 (2024) - Panshan Wang, Jiangyuan Zeng, Kun-Shan Chen, Hongliang Ma, Xiang Zhang, Pengfei Shi, Chenchen Peng, Haiyun Bi:
Global-Scale Assessment of Multiple Recently Developed/Reprocessed Remotely Sensed Soil Moisture Datasets. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - Haoxuan Yang, Qunming Wang, Wei Zhao, Peter M. Atkinson:
Reconstruction of Historical SMAP Soil Moisture Dataset From 1979 to 2015 Using CCI Time-Series. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - B. Sudhakara, Shrutilipi Bhattacharjee:
Prediction of High-Resolution Soil Moisture Using Multi-source Data and Machine Learning. ICDCIT 2024: 282-292 - 2023
- Luyao Zhu, Hongquan Wang, Tianjie Zhao, Wenjie Li, Yongjun Li, Cheng Tong, Xiaodong Deng, Huafeng Yue, Ke Wang:
Disaggregation of remote sensing and model-based data for 1 km daily seamless soil moisture. Int. J. Appl. Earth Obs. Geoinformation 125: 103572 (2023) - Neda Dolatabadi, Mohsen Nasseri, Banafsheh Zahraie:
Comparative assessment of surface soil moisture simulations by the coupled wcm-iem vs. data-driven models using the Sentinel 1 and 2 satellite images. Earth Sci. Informatics 16(2): 1563-1584 (2023) - Dayou Luo, Xingping Wen, Shuling Li:
An improved method for estimating soil moisture over cropland using SAR and optical data. Earth Sci. Informatics 16(2): 1909-1916 (2023) - Mounir Ouaba, Mohamed Elmehdi Saidi, Md Jobair Bin Alam:
Flood modeling through remote sensing datasets such as LPRM soil moisture and GPM-IMERG precipitation: A case study of ungauged basins across Morocco. Earth Sci. Informatics 16(1): 653-674 (2023) - Anca Avram, Oliviu Matei, Camelia-Mihaela Pintea, Petrica C. Pop:
Influence of context availability and soundness in predicting soil moisture using the Context-Aware Data Mining approach. Log. J. IGPL 31(4): 762-774 (2023) - Aniruddha Basak, Kevin M. Schmidt, Ole Jakob Mengshoel:
From data to interpretable models: machine learning for soil moisture forecasting. Int. J. Data Sci. Anal. 15(1): 9-32 (2023) - Jia Chen, Fengmin Hu, Junjie Li, Yijia Xie, Wen Zhang, Changqing Huang, Lingkui Meng:
Evaluation of SMAP-Enhanced Products Using Upscaled Soil Moisture Data Based on Random Forest Regression: A Case Study of the Qinghai-Tibet Plateau, China. ISPRS Int. J. Geo Inf. 12(7): 281 (2023) - Xuetao Jia, Ying Huang:
Progressive moisture prediction technique using regressive learning using soil and vegetation data. Int. J. Sens. Networks 43(4): 195-207 (2023) - Theresa C. van Hateren, Marco Chini, Patrick Matgen, Luca Pulvirenti, Nazzareno Pierdicca, Adriaan J. Teuling:
On the Use of Native Resolution Backscatter Intensity Data for Optimal Soil Moisture Retrieval. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - Ji Li, Guoyong Leng, Jian Peng:
The Merit of Estimating High-Resolution Soil Moisture Using Combined Optical, Thermal, and Microwave Data. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - Mohammed Dabboor, Ghada Atteia, Souham Meshoul, Walaa Alayed:
Deep Learning-Based Framework for Soil Moisture Content Retrieval of Bare Soil from Satellite Data. Remote. Sens. 15(7): 1916 (2023) - Leilei Dong, Weizhen Wang, Rui Jin, Feinan Xu, Yang Zhang:
Surface Soil Moisture Retrieval on Qinghai-Tibetan Plateau Using Sentinel-1 Synthetic Aperture Radar Data and Machine Learning Algorithms. Remote. Sens. 15(1): 153 (2023) - Kalifa Goïta, Ramata Magagi, Vincent Beauregard, Hongquan Wang:
Retrieval of Surface Soil Moisture over Wheat Fields during Growing Season Using C-Band Polarimetric SAR Data. Remote. Sens. 15(20): 4925 (2023) - Giulia Graldi, Dino Zardi, Alfonso Vitti:
Retrieving Soil Moisture at the Field Scale from Sentinel-1 Data over a Semi-Arid Mediterranean Agricultural Area. Remote. Sens. 15(12): 2997 (2023) - Xiaomeng Guo, Xiuqin Fang, Qiuan Zhu, Shanhu Jiang, Jia Tian, Qingjiu Tian, Jiaxin Jin:
Estimation of Root-Zone Soil Moisture in Semi-Arid Areas Based on Remotely Sensed Data. Remote. Sens. 15(8): 2003 (2023) - Mohamad Hamze, Bruno Cheviron, Nicolas N. Baghdadi, Dominique Courault, Mehrez Zribi:
Plot-Scale Irrigation Dates and Amount Detection Using Surface Soil Moisture Derived from Sentinel-1 SAR Data in the Optirrig Crop Model. Remote. Sens. 15(16): 4081 (2023) - Soo-Jin Lee, Eunha Sohn, Mija Kim, Ki-Hong Park, Kyungwon Park, Yang-Won Lee:
Real-Time Retrieval of Daily Soil Moisture Using IMERG and GK2A Satellite Images with NWP and Topographic Data: A Machine Learning Approach for South Korea. Remote. Sens. 15(17): 4168 (2023) - Qi Liu, Shuangcheng Zhang, Weiqiang Li, Yang Nan, Jilun Peng, Zhongmin Ma, Xin Zhou:
Using Robust Regression to Retrieve Soil Moisture from CyGNSS Data. Remote. Sens. 15(14): 3669 (2023) - Yutiao Ma, Peng Hou, Linjing Zhang, Guangzhen Cao, Lin Sun, Shulin Pang, Junjun Bai:
High-Resolution Quantitative Retrieval of Soil Moisture Based on Multisource Data Fusion with Random Forests: A Case Study in the Zoige Region of the Tibetan Plateau. Remote. Sens. 15(6): 1531 (2023) - Kebiao Mao, Han Wang, Jiancheng Shi, Essam Heggy, Shengli Wu, Sayed M. Bateni, Guoming Du:
A General Paradigm for Retrieving Soil Moisture and Surface Temperature from Passive Microwave Remote Sensing Data Based on Artificial Intelligence. Remote. Sens. 15(7): 1793 (2023)
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