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@article{bb187603,
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@article{bb187606,
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@article{bb187607,
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@article{bb187608,
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@article{bb187609,
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@inproceedings{bb187610,
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        TITLE = "Measuring soil water potential using IR thermal imaging",
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Model-Based Polarimetric Decomposition of SAR Data",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog927sm1.html#TT183002"}

@article{bb187649,
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        PAGES = "4629-4641",
        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog927sm1.html#TT183003"}

@article{bb187650,
        AUTHOR = "Zhou, L.J. and Chen, N.C. and Chen, Z.Q.",
        TITLE = "A Cloud Computing-Enabled Spatio-Temporal Cyber-Physical Information
Infrastructure for Efficient Soil Moisture Monitoring",
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@article{bb187651,
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        TITLE = "Analysis of the Qinghai-Xizang Plateau Monsoon Evolution and Its
Linkages with Soil Moisture",
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@article{bb187652,
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Non-Static Model Combination Approach",
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@article{bb187653,
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@article{bb187654,
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Inversion in Bio/Geophysical Parameter Estimation",
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@article{bb187655,
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        TITLE = "Reconstruction of GF-1 Soil Moisture Observation Based on Satellite
and In Situ Sensor Collaboration Under Full Cloud Contamination",
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@article{bb187656,
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Accuracy Moisture Retrieval by Microwave Radiometer Data",
        JOURNAL = GeoRS,
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@article{bb187657,
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Vehicle (UAV)",
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@article{bb187658,
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@article{bb187659,
        AUTHOR = "Jiang, Q.H. and Chen, Y.Y. and Guo, L. and Fei, T. and Qi, K.",
        TITLE = "Estimating Soil Organic Carbon of Cropland Soil at Different Levels
of Soil Moisture Using VIS-NIR Spectroscopy",
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@article{bb187660,
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Thermal Inertia",
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@article{bb187661,
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        TITLE = "Enhancing Noah Land Surface Model Prediction Skill over Indian
Subcontinent by Assimilating SMOPS Blended Soil Moisture",
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@article{bb187662,
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        TITLE = "Impact of Backscatter Variations Over Water Bodies on Coarse-Scale
Radar Retrieved Soil Moisture and the Potential of Correcting With
Meteorological Data",
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@article{bb187663,
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@article{bb187664,
        AUTHOR = "Yao, P. and Shi, J.C. and Zhao, T.J. and Lu, H. and Al Yaari, A.",
        TITLE = "Rebuilding Long Time Series Global Soil Moisture Products Using the
Neural Network Adopting the Microwave Vegetation Index",
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        AUTHOR = "Al Yaari, A. and Lu, H. and Zhao, T.J. and Shi, J.C. and Yao, P.",
        TITLE = "Rebuilding Long Time Series Global Soil Moisture Products Using the
Neural Network Adopting the Microwave Vegetation Index",
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@article{bb187666,
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        TITLE = "NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m
Resolution Based on SMAPEx-4/5 in Southeastern Australia",
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        NUMBER = "1",
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@article{bb187667,
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        TITLE = "NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m
Resolution Based on SMAPEx-4/5 in Southeastern Australia",
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        NUMBER = "4",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog927sm1.html#TT183019"}

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@article{bb187670,
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@article{bb187674,
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@article{bb187679,
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Moist Soil for Microwaves",
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@article{bb187681,
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A Case Study in Belgium Using Large-Scale Satellite Data",
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@article{bb187682,
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@article{bb187690,
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@article{bb187691,
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        NUMBER = "1",
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@article{bb187693,
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@article{bb187694,
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Multiangle L-Band Observations",
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@article{bb187695,
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Last update:Sep 23, 2018 at 16:35:04