Remote sensing of natural resources [electronic resource] /
edited by Guangxing Wang, Qihao Weng.
- Boca Raton : CRC Press, 2014.
- xxiii, 532 p., [24] p. of col. plates : ill.
- Taylor & Francis series in remote sensing applications .
- Taylor & Francis series in remote sensing applications. .
Includes bibliographical references and index.
section 1. Remote sensing systems -- section 2. Sampling design and product quality assessment -- section 3. Land use and land"cover classification -- section 4. Natural landscape, ecosystems, and forestry -- section 5. Agriculture -- section 6. Biomass and carbon cycle modeling -- section 7. Wetland, soils, and minerals.
"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"--
Mode of access: World Wide Web.
9781466556935 (ebook : PDF)
Remote sensing.
Natural resources--Remote sensing.
Electronic books.
Includes bibliographical references and index.
section 1. Remote sensing systems -- section 2. Sampling design and product quality assessment -- section 3. Land use and land"cover classification -- section 4. Natural landscape, ecosystems, and forestry -- section 5. Agriculture -- section 6. Biomass and carbon cycle modeling -- section 7. Wetland, soils, and minerals.
"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"--
Mode of access: World Wide Web.
9781466556935 (ebook : PDF)
Remote sensing.
Natural resources--Remote sensing.
Electronic books.