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Remote Sensing Handbook, Volume IV
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Remote Sensing Handbook, Volume IV : Forests, Biodiversity, Ecology, LULC, and Carbon

Book Details

Format Hardback or Cased Book
ISBN-10 1032891033
ISBN-13 9781032891033
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Nov 29th, 2024
Print length 502 Pages
Weight 1,240 grams
Ksh 28,800.00
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Volume IV of the Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in forestry, biodiversity, ecology, land use and land cover, and global terrestrial carbon mapping and monitoring. This book is an essential resource for researchers at all levels interested in using remote sensing.

Volume IV of the Six Volume Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in forestry, biodiversity, ecology, land use and land cover, and global terrestrial carbon mapping and monitoring. It discusses remote sensing studies of multi-scale habitat modeling, forest informatics, tree and stand height studies, land cover and land use (LCLU) change mapping, forest biomass and carbon modeling and mapping, and advanced image analysis methods and advances in land remote sensing using optical, radar, LiDAR, and hyperspectral remote sensing. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context.

FEATURES

  • Provides the most up-to-date comprehensive coverage of remote sensing science for forests, biodiversity, land cover and land use change (LCLUC), biomass, and carbon.
  • Discusses and analyzes data from old and new generations of satellites and sensors spread across 60 years.
  • Extensive forestry, LCLUC studies, biomass, and carbon using optical, radar, LiDAR, and hyperspectral data.
  • Includes numerous case studies on advances and applications at local, regional, and global scales.
  • Introduces advanced methods in remote sensing such as machine learning, cloud computing, and AI.
  • Highlights scientific achievements over the last decade and provides guidance for future developments.

This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book and their extensive knowledge of new and emerging trends.


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