Remote Sensing of Natural Resources

ISBN-13: 9780367867454 / Angielski / Miękka / 2020 / 580 str.

Guangxing Wang; Qihao Weng

Opis

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

Spis treści

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.

O autorze

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.