Evaluation and Improvement of SMOS and SMAP Soil Moisture Products for Soils with High Organic Matter over a Forested Area in Northeast China

By Jin Mengjie   Zheng Xingming   Jiang Tao   Li Xiaofeng   Li Xiaojie   Zhao Kai  

Remote Sensing, Vol. 9, Iss. 4, 2017-04 ,pp. : 387-387

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Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopting the Microwave Vegetation Index

By Yao Panpan   Shi Jiancheng   Zhao Tianjie   Lu Hui   Al-Yaari Amen  

Remote Sensing, Vol. 9, Iss. 1, 2017-01 ,pp. : 35-35

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Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over China Using In Situ Data

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Remote Sensing, Vol. 9, Iss. 3, 2017-03 ,pp. : 292-292

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Correction: Yao, P. et al. Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopted the Microwave Vegetation Index. Remote Sens. 2017, 9, 35

By Yao Panpan   Shi Jiancheng   Zhao Tianjie   Lu Hui   Al-Yaari Amen  

Remote Sensing, Vol. 9, Iss. 8, 2017-08 ,pp. : 849-849

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Prediction of Soil Organic Matter by VIS–NIR Spectroscopy Using Normalized Soil Moisture Index as a Proxy of Soil Moisture

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Remote Sensing, Vol. 10, Iss. 1, 2017-12 ,pp. : 28-28

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