Remote Sensing of Natural Resources

Guangxing Wang, Qihao Weng

July 12, 2013 by CRC Press
Reference - 580 Pages - 45 Color & 148 B/W Illustrations
ISBN 9781466556928 - CAT# K15446
Series: Remote Sensing Applications Series


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  • Includes contributions of 50 scientists working in the remote sensing field across the globe
  • Presents an overview of the most updated remote sensing systems and algorithms
  • Demonstrates the most advanced image-based algorithms and their applications for both classification and modeling of natural resources
  • Examines a wide range of essential techniques, technologies, and theories
  • Provides examples of successful applications in sampling design, land use and land cover, landscape and ecosystems, forestry, agriculture, biomass and carbons cycle modeling, wetlands classification as well as soils and minerals mapping


Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy assessment and quality control. It also discusses their applications for evaluation of natural resources, including sampling design, land use and land cover classification, natural landscape and ecosystem assessment, forestry, agriculture, biomass and carbon-cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping.

The book combines review articles with case studies that demonstrate recent advances and developments of methods, techniques, and applications of remote sensing, with each chapter on a specific area of natural resources. Through a comprehensive examination of the wide range of applications of remote sensing technologies to natural resources, the book provides insight into advanced remote sensing systems, technologies, and algorithms for researchers, scientists, engineers, and decision makers.


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