Springer Remote Sensing/Photogrammetry

Radar Remote Sensing for Crop Biophysical Parameter Estimation

Autoren: Mandal, Dipankar, Bhattacharya, Avik, Rao, Yalamanchili Subrahmanyeswara

Vorschau
  • 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 program codes of theoretical and semi-empirical models, calibration and inversion approaches
Weitere Vorteile

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eBook 106,99 €
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  • ISBN 978-981-16-4424-5
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Über dieses Buch

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.

Über die Autor*innen

Dr. Dipankar Mandal received his B.Tech. degree in agricultural engineering from Bidhan Chandra Krishi Viswavidyalaya, India, in 2015, and M.Tech + Ph.D. dual degree in Geoinformatics and Natural Resources Engineering from the Indian Institute of Technology (IIT) Bombay, Mumbai, India, in 2020. He was a visiting researcher with the Agriculture and Agri-Food Canada (AAFC), Ottawa, Canada, and Carleton University, Ottawa, from October 2018 to February 2019. As a visiting researcher, he contributed to the Synthetic Aperture Radar (SAR) Intercomparison experiment for crop biophysical parameter estimation within the Joint Experiment for Crop Assessment and Monitoring (JECAM) network of GEO Global Agricultural Monitoring. His research interests include applications of SAR polarimetry for crop classification, vegetation biophysical parameter estimation, deriving radar vegetation indices and yield forecasting. Dr. Mandal was a recipient of the Shastri Research Student Fellowship 2018–2019 Award by the Shastri Indo-Canadian Institute, India. 
Dr. Avik Bhattacharya received his integrated M.Sc. degree in Mathematics from the Indian Institute of Technology (IIT) Kharagpur, India, in 2000, and a Ph.D. degree in remote sensing image processing and analysis from Télécom ParisTech, Paris, France, and the Ariana Research Group, Institut National de Recherche en Informatique et en Automatique (INRIA), France, in 2007. He is currently a professor with the Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, India. Before joining IIT Bombay, he was a Canadian Government Research Fellow with the Canadian Centre for Remote Sensing (CCRS) in Canada. His current research interests include SAR polarimetry, statistical analysis of polarimetric SAR images, radar remote sensing applications in agriculture, cryosphere, urban and planetary studies. Dr. Bhattacharya was a recipient of the Natural Sciences and Engineering Research Council of Canada visiting Scientist Fellowship with the Canadian national laboratories from 2008 to 2011. He is the Editor-in-Chief of IEEE Geoscience and Remote Sensing Letters (GRSL). 
Dr. Yalamanchili Subrahmanyeswara Rao received his M.Sc. degree in physics from Andhra University, Andhra Pradesh, India, in 1982, and the Ph.D. degree in passive microwave remote sensing of soil moisture from the Indian Institute of Technology (IIT) Bombay, India, in 1992. He joined the Centre of Studies Resources Engineering, IIT Bombay, in 1985, as a senior research assistant and then became a research scientist in 1999. During 2005–2009, he was a senior research scientist and then an associate professor from 2009 to 2014. He is currently continuing as a professor. He worked in passive and active microwave remote sensing for several applications, viz., soil moisture, vegetation dynamics, flood mapping and land use/land cover. He has participated in several space-borne campaigns to collect synchronous ground-truth data and has experience handling various datasets for several applications. His research interests include the application of polarimetry for geophysical parameter retrieval and SAR interferometry for digital elevation models and displacement map generation.

Inhaltsverzeichnis (8 Kapitel)

Inhaltsverzeichnis (8 Kapitel)

Dieses Buch kaufen

eBook 106,99 €
Preis für Deutschland (Brutto)
  • ISBN 978-981-16-4424-5
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 139,09 €
Preis für Deutschland (Brutto)
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Bibliografische Information

Bibliographic Information
Buchtitel
Radar Remote Sensing for Crop Biophysical Parameter Estimation
Autoren
Titel der Buchreihe
Springer Remote Sensing/Photogrammetry
Copyright
2021
Verlag
Springer Singapore
Copyright Inhaber
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-16-4424-5
DOI
10.1007/978-981-16-4424-5
Hardcover ISBN
978-981-16-4423-8
Buchreihen ISSN
2198-0721
Auflage
1
Seitenzahl
XVIII, 236
Anzahl der Bilder
7 schwarz-weiß Abbildungen, 93 Abbildungen in Farbe
Themen