High Spatial Resolution Remote Sensing
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High Spatial Resolution Remote Sensing: Data, Analysis, and Applications

High Spatial Resolution Remote Sensing: Data, Analysis, and Applications

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About the Book

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.

Table of Contents:
Section I: Data Acquisition and Preprocessing 1. High-Resolution UAS Imagery in Agricultural Research: Concepts, Issues, and Research Directions 2. Building a UAV-Hyperspectral System I: UAV and Sensor Considerations 3. Building a UAV-Hyperspectral System II: Hyperspectral Sensor Considerations and Data Preprocessing 4. LiDAR and Spectral Data Integration for Coastal Wetland Assessment 5. Multiview Image Matching for 3D Earth Surface Reconstruction 6. High-Resolution Radar Data Processing and Applications Section II: Algorithms and Techniques 7. Structure from Motion Techniques for Estimating the Volume of Wood Chips 8. A Workflow to Quantify the Carbon Storage in Urban Trees Using Multispectral ALS Data 9. Suitable Spectral Mixing Space Selection for Linear Spectral Unmixing of Fine-Scale Urban Imagery 10. Segmentation Scale Selection in Geographic Object-Based Image Analysis 11. Computer Vision Methodologies for Automated Processing of Camera Trap Data: A Technological Review Section III: Case Studies and Applications 12. UAV-Based Multispectral Images for Investigating Grassland Biophysical and Biochemical Properties 13. Inversion of a Radiative Transfer Model Using Hyperspectral Data for Deriving Grassland Leaf Chlorophyll 14. Wetland Detection Using High Spatial Resolution Optical Remote Sensing Imagery 15. Geomorphic and Biophysical Characterization of Wetland Ecosystems with Airborne LiDAR: Concepts, Methods, and a Case Study 16. Fraction Vegetation Cover Extraction Using High Spatial Resolution Imagery in Karst Areas 17. Using High Spatial Resolution Imagery to Estimate Cherry Orchard Acreage in Michigan


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Product Details
  • ISBN-13: 9780429892981
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Language: English
  • ISBN-10: 0429892985
  • Publisher Date: 27 Jun 2018
  • Binding: Digital (delivered electronically)
  • Sub Title: Data, Analysis, and Applications


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