High Spatial Resolution Remote Sensing: Data, Analysis, And Applications (imaging Science)

"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."--Provided by publisher High Spatial Resolution Data Including Those From Satellite, Manned Aircraft, And Unmanned Aerial Vehicle (uav) Platforms Provide A Novel Data Source For Addressing Environmental Questions With An Unprecedented Level Of Detail. To Effectively Utilize Information Contained In High Spatial Resolution Imagery, Some Key Questions Must Be Addressed, Including: (1) What Are The Challenges Of Using New Sensors And New Platforms? (2) What Are The Cutting-edge Methods For Fine-level Information Extraction From High Spatial Resolution Images? And (3) How Can High Spatial Resolution Data Improve The Quantification And Characterization Of Physical-environmental Or Human Patterns And Processes? The Chapters In This Book Provide A Snapshot Of Cutting-edge High Spatial Resolution Remote Sensing Image Collection, Preprocessing, Processing, And Applications. This Book Intents To Provide A Useful Benchmark For The High Spatial Resolution Remote Sensing Community And Inspire More Studies That Would Address Important Scientific And Technical Challenges In Use Of High Spatial Remote Sensing -- From The Publisher. High Resolution Uas Imagery In Agricultural Research : Concepts, Issues And Research Directions / Michael P. Bishop [and 18 Others] -- Building A Uav-hyperspectral System I : Uav And Sensor Considerations / Cameron Proctor -- Building A Uav-hyperspectral System Ii : Hyperspectral Sensor Considerations And Data Preprocessing / Cameron Proctor -- Lidar And Spectral Data Integration For Coastal Wetland Assessment / Kunwar K. Singh, Lindsey Smart, And Gang Chen -- Multi-view Image Matching For 3d Earth Surface Reconstruction / Chuiqing Zeng And Jinfei Wang -- High Resolution Radar Data Processing And Applications / Joseph R. Buckley -- Structure From Motion Techniques For Estimating The Volume Of Wood Chips / Travis L. Howell, Kunwar K. Singh, And Lindsey Smart -- A Workflow To Quantify The Carbon Storage In Urban Trees Using Multispectral Als Data / Xinqu Chen And Jonathan Li -- Suitable Spectral Mixing Space Selection For Linear Spectral Unmixing Of Fine-scale Urban Imagery / Jian Yang -- Segmentation Scale Selection In Geographic Object-based Image Analysis / Xiuyuan Zhang, Shihong Du And Dongping Ming -- Computer Vision Methodologies For Automated Processing Of Camera Trap Data : A Technological Review / Joshua Seltzer, Michael Guerzhoy, And Monika Havelka -- Uav-based Multispectral Images For Investigating Grassland Biophysical And Biochemical Properties / Bing Lu And Yuhong He -- Inversion Of A Radiative Transfer Model Using Airborne Hyperspectral Data For Grassland Leaf Chlorophyll / Alexander Tong, Bing Lu And Yuhong He -- Wetland Detection Using High Spatial Resolution Optical Remote Sensing Imagery / Amy B. Mui -- Geomorphic And Biophysical Characterization Of Wetland Ecosystems With Airborne Lidar : Concepts, Methods, And A Case Study / Murray Richardson And Koreen Millard -- Fraction Vegetation Cover Extraction Using High Spatial Resolution Imagery In Karst Areas / Xiangkun Qi, Chunhua Zhang, Yuhong He And Kelin Wang -- Using High Spatial Resolution Imagery To Estimate Cherry Orchard Acreage In Michigan / Kin M. Ma. Edited By Yuhong He, Qihao Weng. Includes Bibliographical References And Index. Content: Section I: Data Acquisition and Preprocessing1. High-Resolution UAS Imagery in Agricultural Research: Concepts, Issues, and Research Directions[Michael P. Bishop, Muthukumar V. Bagavathiannan, Dale A. Cope, Da Huo, Seth C. Murray, Jeffrey A. Olsenholler, William L. Rooney, J. Alex Thomasson, John Valasek, Brennan W. Young, Anthony M. Filippi, Dirk B. Hays, Lonesome Malambo, Sorin C. Popescu, Nithya Rajan, Vijay P. Singh, Bill McCutchen, Bob Avant, and Misty Vidrine]2. Building a UAV-Hyperspectral System I: UAV and Sensor Considerations[Cameron Proctor]3. Building a UAV-Hyperspectral System II: Hyperspectral Sensor Considerations and Data Preprocessing[Cameron Proctor]4. LiDAR and Spectral Data Integration for Coastal Wetland Assessment[Kunwar K. Singh, Lindsey Smart, and Gang Chen]5. Multiview Image Matching for 3D Earth Surface Reconstruction[Chuiqing Zeng and Jinfei Wang]6. High-Resolution Radar Data Processing and Applications[Joseph R. Buckley]Section II: Algorithms and Techniques7. Structure from Motion Techniques for Estimating the Volume of Wood Chips[Travis L. Howell, Kunwar K. Singh, and Lindsey Smart]8. A Workflow to Quantify the Carbon Storage in Urban Trees Using Multispectral ALS Data[Xinqu Chen and Jonathan Li]9. Suitable Spectral Mixing Space Selection for Linear Spectral Unmixing of Fine-Scale Urban Imagery[Jian Yang]10. Segmentation Scale Selection in Geographic Object-Based Image Analysis[Xiuyuan Zhang, Shihong Du, and Dongping Ming]11. Computer Vision Methodologies for Automated Processing of Camera Trap Data: A Technological Review[Joshua Seltzer, Michael Guerzhoy, and Monika Havelka]Section III: Case Studies and Applications12. UAV-Based Multispectral Images for Investigating Grassland Biophysical and Biochemical Properties[Bing Lu and Yuhong He]13. Inversion of a Radiative Transfer Model Using Hyperspectral Data for Deriving Grassland Leaf Chlorophyll[Alexander Tong, Bing Lu, and Yuhong He]14. Wetland Detection Using High Spatial Resolution Optical Remote Sensing Imagery[Amy B. Mui]15. Geomorphic and Biophysical Characterization of Wetland Ecosystems with Airborne LiDAR: Concepts, Methods, and a Case Study[Murray Richardson and Koreen Millard]16. Fraction Vegetation Cover Extraction Using High Spatial Resolution Imagery in Karst Areas[Xiangkun Qi, Chunhua Zhang, Yuhong He, and Kelin Wang]17. Using High Spatial Resolution Imagery to Estimate Cherry Orchard Acreage in Michigan[Kin M. Ma] High spatial resolution remote sensing is an area of considerable current interest and builds on developments in object-based image analysis, commercial high-resolution satellite sensors, and UAVs. It captures more details through high and very high resolution images (10 to 100 cm/pixel). This unprecedented level of detail offers the potential extraction of a range of multi-resource management information, such as precision farming, invasive and endangered vegetative species delineation, forest gap sizes and distribution, locations of highly valued habitats, or sub-canopy topographic information. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the damage to roads and buildings and aid in emergency planning for contact and evacuation.To effectively utilize information contained in high spatial resolution imagery, High Spatial Resolution Remote Sensing: Data, Analysis, and Applications addresses some key questions: What are the challenges of using new sensors and new platforms? What are the cutting-edge methods for fine-level information extraction from high spatial resolution images? How can high spatial resolution data improve the quantification and characterization of physical-environmental or human patterns and processes? The answers are built in three separate parts: (1) data acquisition and preprocessing, (2) algorithms and techniques, and (3) case studies and applications. They discuss the opportunities and challenges of using new sensors and platforms and high spatial resolution remote sensing data and recent developments with a focus on UAVs. This work addresses the issues related to high spatial image processing and introduces cutting-edge methods, summarizes state-of-the-art high spatial resolution applications, and demonstrates how high spatial resolution remote sensing can support the extraction of detailed information needed in different systems. Using various high spatial resolution data, the third part of this book covers a range of unique applications, from grasslands to wetlands, karst areas, and cherry orchard trees. High spatial resolution remote sensing is an area of considerable current interest and builds on developments in object-based image analysis, commercial high-resolution satellite sensors, and UAVs. It captures more details through high and very high resolution images (10 to 100 cm/pixel). This unprecedented level of detail offers the potential extraction of a range of multi-resource management information, such as precision farming, invasive and endangered vegetative species delineation, forest gap sizes and distribution, locations of highly valued habitats, or sub-canopy topographic information. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the damage to roads and buildings and aid in emergency planning for contact and evacuation. To effectively utilize information contained in high spatial resolution imagery, High Spatial Resolution Remote Sensing: Data, Analysis, and Applications addresses some key questions: What are the challenges of using new sensors and new platforms? What are the cutting-edge methods for fine-level information extraction from high spatial resolution images? How can high spatial resolution data improve the quantification and characterization of physical-environmental or human patterns and processes? The answers are built in three separate parts: (1) data acquisition and preprocessing, (2) algorithms and techniques, and (3) case studies and applications. They discuss the opportunities and challenges of using new sensors and platforms and high spatial resolution remote sensing data and recent developments with a focus on UAVs. This work addresses the issues related to high spatial image processing and introduces cutting-edge methods, summarizes state-of-the-art high spatial resolution applications, and demonstrates how high spatial resolution remote sensing can support the extraction of detailed information needed in different systems. Using various high spatial resolution data, the third part of this book covers a range of unique applications, from grasslands to wetlands, karst areas, and cherry orchard trees High resolution uas imagery in agricultural research : concepts, issues and research directions / Michael P. Bishop [und weitere] -- Building a UAV-hyperspectral system I : UAV and sensor considerations / Cameron Proctor -- Building a UAV-hyperspectral system II : hyperspectral sensor considerations and data preprocessing / Cameron Proctor -- LiDAR and spectral data integration for coastal wetland assessment / K. Kunwar, Lindsey Smart, and Gang Chen -- Multi-view image matching for 3D earth surface reconstruction / Chuiqing Zeng, Zinfei Wang -- High resolution radar data processing and applications / Joseph R. Buckley -- Structure from motion techniques for estimating the volume of wood chips / Travis L. Howell, Kunwar K. Singh, and Lindsey Smart -- A workflow to quantify the carbon storage in urban trees using multispectral ALS data / Xinqu Chen, Jonathan Li -- Suitable spectral mixing space selection for linear spectral unmixing of fine-scale urban imagery / Jian Yang -- Segmentation scale selection in geographic object-based image analysis (GEOBIA) / Xiuyuan Zhang, Shihong Du, Dongping Ming -- Computer vision methodologies for automated processing of camera trap data : a technological review / Joshua Seltzer, Michael Guerzhoy, and Monika Havelka -- UAV-based multispectral images for investigating grassland biophysical and biochemical properties / Bing Lu, Yuhong He -- Inversion of a radiative transfer model using airborne hyperspectral data for grassland leaf chlorophyll / Alexander Tong, Bing Lu, Yuhong He -- Wetland detection using high spatial resolution optical remote sensing imagery / Amy Mui -- Geomorphic and biophysical characterization of wetland ecosystems with airborne LiDAR : concepts, methods, and a case-study / Murray Richardson, Koreen Millard -- Fraction vegetation cover extraction using high spatial resolution imagery in karst areas / Xiangkun Qi, Chunhua Zhang, Yuhong He, Kelin Wang -- Using high spatial resolution imagery to estimate cherry orchard acreage in Michigan / Kin M. Ma