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Remote sensing of natural resources

Author: Guangxing Wang; Qihao Weng
Publisher: Boca Raton : CRC Press, [2014] ©2014
Series: Taylor & Francis series in remote sensing applications.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
"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
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Remote sensing of natural resources.
Boca Raton : CRC Press, 2013
(DLC) 2013018063
(OCoLC)780484191
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Guangxing Wang; Qihao Weng
ISBN: 9781466556935 1466556935 9781299877511 1299877516
OCLC Number: 853457380
Description: 1 online resource (xxiii, 532 pages).
Contents: Remote sensing systems --
Introduction to remote sensing systems, data, and applications --
Sampling design and product quality assessment --
Remote sensing applications for sampling design of natural resources --
Accuracy assessment for classification and modeling --
Accuracy assessment for soft classifications maps --
Spatial uncertainty analysis when mapping natural resources using remotely sensed data --
Land use and land cover classification --
Land use/land cover classification in the Brazilian Amazon with different sensor data and classification algorithms --
Vegetation change detection in the Brazilian Amazon with multitemporal landsat images --
Extraction of impervious surfaces from hyperspectral imagery : linear versus nonlinear methods --
Road extraction : a review of LiDAR-focused studies --
Natural landscape, ecosystem and landscape modeling --
Plant invasion and imaging spectroscopy --
Assessing military training-induced landscape fragmentation and dynamics of Fort Riley installation using spatial metrics and remotely sensed data --
Automated individual tree-crown delineation and treetop detection with very-high-resolution aerial imagery --
Tree species classification --
Estimation of forest stock and yield using LiDAR data --
National forest resource inventory and monitoring system --
Agriculture --
Remote sensing applications on crop monitoring and prediction --
Remote sensing applications to precision farming --
Mapping and uncertainty analysis of crop residue cover using sequential Gaussian cosimulation with QuickBird images --
Biomass and carbon cycle modeling --
Remote sensing of leaf area index of vegetation covers --
LiDAR remote sensing of vegetation covers --
Carbon cycle modeling for terrestrial ecosystems --
Remote sensing applications to modeling biomass and carbon of oceanic ecosystems --
Wetland, soils, and minerals --
Wetland classification --
Remote sensing applications to monitoring wetland dynamics : a case study on Qinghai Lake Ramsar Site, China --
Hyperspectral sensing on acid sulfate soils via mapping iron-bearing and aluminum-bearing minerals on the Swan Coastal Plain, Western Australia.
Series Title: Taylor & Francis series in remote sensing applications.
Responsibility: edited by Guangxing Wang, Qihao Weng.
More information:

Abstract:

"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"--

"Introduction to Remote Sensing of Natural Resources Guangxing Wang and Qihao Weng Aims and Scope This book focuses on remote sensing systems, algorithms, and their applications for evaluation of natural resources, especially in the areas of sampling design, land use and land cover (LULC) characterization and classification, natural landscape and ecosystem assessment, forestry and agriculture mapping, biomass and carbon cycle modeling, wetland classification and dynamics monitoring, and soils and minerals mapping. It 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. This book aims at providing undergraduate and graduate students with a focused text or a supplementary text for whom the principles of remote sensing, digital image processing, or remote sensing applications is a course to be taken. It may also be useful for researchers, scientists, engineers, and decision makers in the area of geospatial technology and/or its applications to natural resources as a reference text. Synopsis of the Book This book consists of 7 sections and a total of 26 chapters. The seven sections are remote sensing systems; sampling design and product quality assessment; land use and land cover classification; natural landscape, ecosystems, and forestry; agriculture; biomass and carbon cycle modeling; and wetland, soils, and minerals. In Section I, following an introduction to the basic principle of remote sensing, Weng presented an overall review of various remote sensors including electro-optical sensors, thermal infrared sensors, passive microwave and imaging radar sensors, and LiDAR (light detection and ranging)"--

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