Remote Sensing of Natural Resources

Remote Sensing of Natural Resources

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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.2009); however, this manual delineation process is time and labor intensive and lake delineation results are subjective. The automated and supervised ... 2005), an automated feature detection/classification system that is an example of feature extraction software, was used to extract lakes from Landsat images for a lowland Arctic region within Yukon Flats, Alaska (Chen et al. In revision). Genie Pro uses anbsp;...

Title:Remote Sensing of Natural Resources
Author:Guangxing Wang, Qihao Weng
Publisher:CRC Press - 2013-07-12


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