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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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发表于 2025-3-21 19:17:52 | 显示全部楼层 |阅读模式
书目名称Radar Remote Sensing for Crop Biophysical Parameter Estimation
编辑Dipankar Mandal,Avik Bhattacharya,Yalamanchili Sub
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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
丛书名称Springer Remote Sensing/Photogrammetry
图书封面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
关键词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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