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Radar remote sensing for crop biophy...
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Mandal, Dipankar.
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Radar remote sensing for crop biophysical parameter estimation
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Radar remote sensing for crop biophysical parameter estimation/ by Dipankar Mandal, Avik Bhattacharya, Yalamanchili Subrahmanyeswara Rao.
作者:
Mandal, Dipankar.
其他作者:
Bhattacharya, Avik.
出版者:
Singapore :Springer Singapore : : 2021.,
面頁冊數:
xviii, 236 p. :ill., digital ;24 cm.
內容註:
Introduction -- Basic theory of radar polarimetry -- Vegetation models: Empirical and Theoretical approaches -- Evolution of Semi-empirical approach: Modeling and Inversion -- Biophysical parameter retrieval using full and dual-pol SAR data -- Biophysical parameter retrieval using compact-pol SAR data -- Radar vegetation indices for crop growth monitoring -- Summary and Conclusions.
Contained By:
Springer Nature eBook
標題:
Agriculture - Remote sensing. -
電子資源:
https://doi.org/10.1007/978-981-16-4424-5
ISBN:
9789811644245
Radar remote sensing for crop biophysical parameter estimation
Mandal, Dipankar.
Radar remote sensing for crop biophysical parameter estimation
[electronic resource] /by Dipankar Mandal, Avik Bhattacharya, Yalamanchili Subrahmanyeswara Rao. - Singapore :Springer Singapore :2021. - xviii, 236 p. :ill., digital ;24 cm. - Springer remote sensing/photogrammetry,2198-073X. - Springer remote sensing/photogrammetry..
Introduction -- Basic theory of radar polarimetry -- Vegetation models: Empirical and Theoretical approaches -- Evolution of Semi-empirical approach: Modeling and Inversion -- Biophysical parameter retrieval using full and dual-pol SAR data -- Biophysical parameter retrieval using compact-pol SAR data -- Radar vegetation indices for crop growth monitoring -- Summary and Conclusions.
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.
ISBN: 9789811644245
Standard No.: 10.1007/978-981-16-4424-5doiSubjects--Topical Terms:
695766
Agriculture
--Remote sensing.
LC Class. No.: S494.5.R4 / M36 2021
Dewey Class. No.: 630.2084
Radar remote sensing for crop biophysical parameter estimation
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Introduction -- Basic theory of radar polarimetry -- Vegetation models: Empirical and Theoretical approaches -- Evolution of Semi-empirical approach: Modeling and Inversion -- Biophysical parameter retrieval using full and dual-pol SAR data -- Biophysical parameter retrieval using compact-pol SAR data -- Radar vegetation indices for crop growth monitoring -- Summary and Conclusions.
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