Remote sensing of natural resources

Author(s)

Bibliographic Information

Remote sensing of natural resources

edited by Guangxing Wang, Qihao Weng

(Taylor & Francis series in remote sensing applications / Qihao Weng, series editor)

CRC Press, 2019, c2014

  • : pbk

Available at  / 1 libraries

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Note

Originally published: 2014

Includes bibliographical references and index

Description and Table of Contents

Description

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.

Table of Contents

Remote Sensing Systems, Data, and Applications. RS Applications for Sampling Design of Natural Resources. Advanced Algorithms for Accuracy and Quality Assessment of RS Products. RS Applications for Land Use and Land Cover Classification. RS Applications for Natural Landscape and Ecosystems. RS Applications for Forestry. RS Applications for Agriculture. RS Applications for Biomass and Carbon Cycle Modeling. RS Applications for Wetland Classifications and Dynamics Monitoring. RS Applications for Soils and Minerals Mapping.

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