Remote Sensing of Natural Resources Hardback
Edited by Guangxing (Southern Illinois University at Carbondale, USA) Wang, Qihao (Indiana State University, Terre Haute, USA) Weng
Part of the Remote Sensing Applications Series series
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.
- Format: Hardback
- Pages: 580 pages, 24 page color insert follows page 264; Less than 100; 41 Tables, black and white; 45 Illu
- Publisher: Taylor & Francis Inc
- Publication Date: 12/07/2013
- Category: Geographical information systems (GIS) & remote sensing
- ISBN: 9781466556928