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Titlebook: Radar Remote Sensing for Crop Biophysical Parameter Estimation; Dipankar Mandal,Avik Bhattacharya,Yalamanchili Sub Book 2021 The Editor(s)

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發(fā)表于 2025-3-21 19:17:52 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Radar Remote Sensing for Crop Biophysical Parameter Estimation
編輯Dipankar Mandal,Avik Bhattacharya,Yalamanchili Sub
視頻videohttp://file.papertrans.cn/821/820392/820392.mp4
概述Details the development of physical models and highlights the evolution of semi-empirical models.Focuses on state-of-the-art methods for radar vegetation indices and methods for inversion.Includes the
叢書名稱Springer Remote Sensing/Photogrammetry
圖書封面Titlebook: Radar Remote Sensing for Crop Biophysical Parameter Estimation;  Dipankar Mandal,Avik Bhattacharya,Yalamanchili Sub Book 2021 The Editor(s)
描述This book presents a timely investigation of radar remote sensing observations for agricultural crop monitoring and advancements of research techniques and their applicability for crop biophysical parameter estimation. It introduces theoretical background of radar scattering from vegetation volume and semi-empirical modelling approaches that are the foundation for biophysical parameter inversion. The contents will help readers explore the state-of-the-art crop monitoring and biophysical parameter estimation using approaches radar remote sensing. It is useful guide for academicians, practitioners and policymakers.
出版日期Book 2021
關鍵詞Earth Observation; Microwave Remote Sensing; Vegetation Modelling; Biophysical Parameter; Model Inversio
版次1
doihttps://doi.org/10.1007/978-981-16-4424-5
isbn_softcover978-981-16-4426-9
isbn_ebook978-981-16-4424-5Series ISSN 2198-0721 Series E-ISSN 2198-073X
issn_series 2198-0721
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Dipankar Mandal,Avik Bhattacharya,Yalamanchili Subrahmanyeswara Raous symmetry breaking. Different observable effects will be linked together on group-theoretical grounds — very much the same as we know it from the Wigner-Eckart theorem. Comparison with experiment will show that we have good reason to believe that such anomalous symmetry breakings are present in na
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rvey of it is un- achievable. But, of course, every researcher constructs his own history of his science and sees a certain list of its main pOints. We have attempted to float several possible pictures of this kind. Therefore the fact that Math and Phys talk about the history of element- ary particl
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Radar Remote Sensing for Crop Biophysical Parameter Estimation
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