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Soil Moisture Mapping Based on Multi-Source Fusion of Optical, Near-Infrared, Thermal Infrared, and Digital Elevation Model Data via the Bayesian Maximum Entropy Framework

机译：基于光学，近红外，热红外线和数字海拔模型数据的多源融合的土壤湿度映射，通过贝叶斯最大熵框架

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Leran Han; Chunmei Wang; Qiyue Liu; Gengke Wang; Tao Yu; Xingfa Gu; Yunzhou Zhang;
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2. Estimating the spatial distribution of soil moisture based on Bayesian maximum entropy method with auxiliary data from remote sensing [J] . Shengguo Gao, Zhongli Zhu, Shaomin Liu, International journal of applied earth observation and geoinformation . 2014,第Null期

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3. An improved algorithm for disaggregating microwave-derived soil moisture based on red, near-infrared and thermal-infrared data [J] . Merlin O., Al Bitar A., Walker J.P., Remote Sensing of Environment: An Interdisciplinary Journal . 2010,第10期

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4. Research on soil moisture Detection based on data fusion of near-infrared spectroscopy and machine vision [C] . Wu Xiao, Xiaoyu Li, Peiwu Li, Annual International Meeting of the American Society of Agricultural and Biological Engineers . 2009

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5. Modeling and classifying variable width riparian zones utilizing digital elevation models, flood height data, digital soil data and National Wetlands Inventory: A new approach for riparian zone delineation. [D] . Abood, Sinan A. 2011

机译：利用数字高程模型，洪水高度数据，数字土壤数据和国家湿地清单对可变宽度河岸带进行建模和分类：河岸带划分的新方法。
6. Improving Estimations of Spatial Distribution of Soil Respiration Using the Bayesian Maximum Entropy Algorithm and Soil Temperature as Auxiliary Data [O] . Junguo Hu, Jian Zhou, Guomo Zhou, 2011

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7. An improved algorithm for disaggregating microwave-derived soil moisture based on red, near-infrared and thermal-infrared data [O] . Merlin Olivier, Al Bitar Ahmad, Walker Jeffrey, 2010

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8. Use of Visible, Near-Infrared, and Thermal Infrared Remote Sensing to Study Soil Moisture [R] . Blanchard, M. B., Greeley, R., Goettelman, R. 1974

机译：利用可见光，近红外和热红外遥感研究土壤水分

Soil Moisture Mapping Based on Multi-Source Fusion of Optical, Near-Infrared, Thermal Infrared, and Digital Elevation Model Data via the Bayesian Maximum Entropy Framework

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