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High spatial resolution remote sensing : data, analysis, and applications / edited by Yuhong He and Qihao Weng.

Contributor(s): Weng, Qihao [editor.] | He, Yuhong, 1978- [editor.] | Taylor and Francis.
Material type: materialTypeLabelBookSeries: Imaging science: Publisher: Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2018Edition: First edition.Description: 1 online resource (405 pages) : 181 illustrations.ISBN: 9780429470196.Subject(s): Environmental sciences -- Remote sensing | Optical radar | Remote sensing | TECHNOLOGY & ENGINEERING / Mechanical | TECHNOLOGY & ENGINEERING / Imaging SystemsAdditional physical formats: Print version: : No titleDDC classification: 621.36/78 Online resources: Click here to view.
Contents:
section I Data Acquisition and Preprocessing / Yuhong He -- chapter 1 High-Resolution UAS Imagery in Agricultural Research Concepts, Issues, and Research Directions / Michael P. Bishop -- chapter 2 Building a UAV-Hyperspectral System I -- UAV and Sensor Considerations / Cameron Proctor -- chapter 3 Building a UAV-Hyperspectral System II -- Hyperspectral Sensor Considerations and Data Preprocessing / Cameron Proctor -- chapter 4 LiDAR and Spectral Data Integration for Coastal Wetland Assessment / Kunwar K. Singh -- chapter 5 Multiview Image Matching for 3D Earth Surface Reconstruction / Chuiqing Zeng -- chapter 6 High-Resolution Radar Data Processing and Applications / Joseph R. Buckley -- section II Algorithms and Techniques / Yuhong He -- chapter 7 Structure from Motion Techniques for Estimating the Volume of Wood Chips / Travis L. Howell -- chapter 8 A Workflow to Quantify the Carbon Storage in Urban Trees Using Multispectral ALS Data / Xinqu Chen -- chapter 9 Suitable Spectral Mixing Space Selection for Linear Spectral Unmixing of Fine-Scale Urban Imagery / Jian Yang -- chapter 10 Segmentation Scale Selection in Geographic Object-Based Image Analysis / Xiuyuan Zhang -- chapter 11 Computer Vision Methodologies for Automated Processing of Camera Trap Data -- A Technological Review / Joshua Seltzer -- section III Case Studies and Applications / Yuhong He -- chapter 12 UAV-Based Multispectral Images for Investigating Grassland Biophysical and Biochemical Properties / Bing Lu -- chapter 13 Inversion of a Radiative Transfer Model Using Hyperspectral Data for Deriving Grassland Leaf Chlorophyll / Alexander Tong -- chapter 14 Wetland Detection Using High Spatial Resolution Optical Remote Sensing Imagery / Amy B. Mui -- chapter 15 Geomorphic and Biophysical Characterization of Wetland Ecosystems with Airborne LiDAR -- Concepts, Methods, and a Case Study / Murray Richardson -- chapter 16 Fraction Vegetation Cover Extraction Using High Spatial Resolution Imagery in Karst Areas / Xiangkun Qi -- chapter 17 Using High Spatial Resolution Imagery to Estimate Cherry Orchard Acreage in Michigan / Kin M. Ma.
Abstract: High spatial remote sensing data have been often used as valuable sources of information throughout emergency management cycle. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the earthquake's damage of roads and buildings and make emergency plans for contact and evacuation. The book will discuss emerging high spatial resolution data sources, and detail novel techniques and applications for handling, retrieving, and making best use of high spatial resolution remote sensing data.
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section I Data Acquisition and Preprocessing / Yuhong He -- chapter 1 High-Resolution UAS Imagery in Agricultural Research Concepts, Issues, and Research Directions / Michael P. Bishop -- chapter 2 Building a UAV-Hyperspectral System I -- UAV and Sensor Considerations / Cameron Proctor -- chapter 3 Building a UAV-Hyperspectral System II -- Hyperspectral Sensor Considerations and Data Preprocessing / Cameron Proctor -- chapter 4 LiDAR and Spectral Data Integration for Coastal Wetland Assessment / Kunwar K. Singh -- chapter 5 Multiview Image Matching for 3D Earth Surface Reconstruction / Chuiqing Zeng -- chapter 6 High-Resolution Radar Data Processing and Applications / Joseph R. Buckley -- section II Algorithms and Techniques / Yuhong He -- chapter 7 Structure from Motion Techniques for Estimating the Volume of Wood Chips / Travis L. Howell -- chapter 8 A Workflow to Quantify the Carbon Storage in Urban Trees Using Multispectral ALS Data / Xinqu Chen -- chapter 9 Suitable Spectral Mixing Space Selection for Linear Spectral Unmixing of Fine-Scale Urban Imagery / Jian Yang -- chapter 10 Segmentation Scale Selection in Geographic Object-Based Image Analysis / Xiuyuan Zhang -- chapter 11 Computer Vision Methodologies for Automated Processing of Camera Trap Data -- A Technological Review / Joshua Seltzer -- section III Case Studies and Applications / Yuhong He -- chapter 12 UAV-Based Multispectral Images for Investigating Grassland Biophysical and Biochemical Properties / Bing Lu -- chapter 13 Inversion of a Radiative Transfer Model Using Hyperspectral Data for Deriving Grassland Leaf Chlorophyll / Alexander Tong -- chapter 14 Wetland Detection Using High Spatial Resolution Optical Remote Sensing Imagery / Amy B. Mui -- chapter 15 Geomorphic and Biophysical Characterization of Wetland Ecosystems with Airborne LiDAR -- Concepts, Methods, and a Case Study / Murray Richardson -- chapter 16 Fraction Vegetation Cover Extraction Using High Spatial Resolution Imagery in Karst Areas / Xiangkun Qi -- chapter 17 Using High Spatial Resolution Imagery to Estimate Cherry Orchard Acreage in Michigan / Kin M. Ma.

High spatial remote sensing data have been often used as valuable sources of information throughout emergency management cycle. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the earthquake's damage of roads and buildings and make emergency plans for contact and evacuation. The book will discuss emerging high spatial resolution data sources, and detail novel techniques and applications for handling, retrieving, and making best use of high spatial resolution remote sensing data.

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