Remote Sensing Handbook, Volume V: Water, Hydrology, Floods, Snow and Ice, Wetlands, and Water Productivity | Agenda Bookshop Skip to content
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B01=Prasad S. Thenkabail
Category1=Non-Fiction
Category=RBK
Category=RGC
Category=RGW
Category=RN
Category=THR
Category=UYT
COP=United Kingdom
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Remote Sensing Handbook, Volume V: Water, Hydrology, Floods, Snow and Ice, Wetlands, and Water Productivity

English

Volume V of the Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing technologies for studying water resources, including groundwater, floods, snow and ice, and wetlands. It discusses water productivity studies from Earth observation data characterization and modeling, mapping their successes and challenges. Chapters include remote sensing of surface water hydrology; quantitative geomorphology; river basin studies; floods; wetlands, including mangroves and river deltas; groundwater studies; crop water use or actual evapotranspiration modeling and mapping; and snow and ice mapping. 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 water resources, including wetlands, floods, snow, and ice.
  • Provides comprehensive assessments of crop water use and crop water productivity modeling and mapping, including evapotranspiration studies.
  • Discusses and analyzes data from old and new generation of satellites and sensors spread across 60 years.
  • 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 artificial intelligence (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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Current price €155.79
Original price €163.99
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Age Group_Uncategorizedautomatic-updateB01=Prasad S. ThenkabailCategory1=Non-FictionCategory=RBKCategory=RGCCategory=RGWCategory=RNCategory=THRCategory=UYTCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 29 Nov 2024

Product Details
  • Dimensions: 178 x 254mm
  • Publication Date: 29 Nov 2024
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781032891453

About

Dr. Prasad S. Thenkabail Senior Scientist (ST) United States Geological Survey (USGS) is a world-recognized expert in remote sensing science with major contributions in the field for nearly 40 years. He has made the list of the worlds top 1% of scientists across 22 scientific fields and 176 sub-fields. Dr. Thenkabail has conducted pioneering research in hyperspectral remote sensing of vegetation global croplands and their water use for food security. He obtained his PhD from the Ohio State University in 1992 and has 168 peer-reviewed publications including 15 books including this six-volume set and over 15 major data releases such as the Landsat-derived global cropland extent product @ 30m and Landsat-derived rainfed and irrigated cropland area product @ 30 m (LGRIP30). He was recognized as a Fellow of the American Society of Photogrammetry and Remote Sensing (ASPRS) in 2023. His scientific papers have won several awards for demonstrating world-class highest-quality research. He was a Landsat Science Team Member (2007-2011).

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