Remote Sensing of Natural Resources (eBook, PDF)

Redaktion: Wang, Guangxing; Weng, Qihao

• Format: PDF

Produktbeschreibung

This book emphasizes the most 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 ecosystems, forestry, agriculture, biomass and carbon-cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 580
• Erscheinungstermin: 12. Juli 2013
• Englisch
• ISBN-13: 9781466556935
• Artikelnr.: 40066495

Autorenporträt

Guangxing Wang, PhD, is an associate professor of remote sensing and geographic information systems (GIS) in the Department of Geography and Environment Resources at Southern Illinois University at Carbondale (SIUC), Illinois. Qihao Weng, PhD is the director of the Center for Urban and Environmental Change and a Professor of geography at Indiana State University.

Inhaltsangabe

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.