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Radar remote sensing for crop biophy...

Bhattacharya, Avik.

Radar remote sensing for crop biophysical parameter estimation

Record Type:	Electronic resources : Monograph/item
Title/Author:	Radar remote sensing for crop biophysical parameter estimationby Dipankar Mandal, Avik Bhattacharya, Yalamanchili Subrahmanyeswara Rao.
Author:	Mandal, Dipankar.
other author:	Bhattacharya, Avik.
Published:	Singapore :Springer Singapore :2021.
Description:	xviii, 236 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	AgricultureRemote sensing.
Online resource:	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:

560532
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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505 0 $a 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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