Remote Sensing of Natural Resources

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...

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Bibliographic Details
Main Authors Wang, Guangxing, Weng, Qihao
Format eBook Book
LanguageEnglish
Published Boca Raton CRC Press 2014
Taylor & Francis Group
Edition1
SeriesRemote sensing applications series
Subjects
Natural resources
Natural resources > Remote sensing
NATURE / Environmental Conservation & Protection. bisacsh
Remote sensing
TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems. bisacsh
Error Matrix
Sample Plots
RS Image
LiDAR Data
LiDAR Point Cloud
LiDAR Metric
End Members Selection
RS Data
Tree Species Classification
LULC Type
LULC Category
LiDAR Remote Sensing
Hyperspectral Data
ALOS PALSAR
LiDAR System
Reference Data
Remote Sensing
Accuracy Assessment
Airborne LiDAR
Tree Crown Boundaries
LSMA
LULC Classification
IRS Image
Vegetation Cover Factor
Profile LiDAR
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ISBN1466556927
9781466556928
DOI10.1201/b15159

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Summary: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.
Bibliography:Includes bibliographical references and index
ISBN:1466556927
9781466556928
DOI:10.1201/b15159