یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Cover; Half Title; Title Page; Copyright Page; Contents; Preface; Editors; Contributors; Section I: Data Acquisition and Preprocessing; Chapter 1: High-Resolution UAS Imagery in Agricultural Research: Concepts, Issues, and Research Directions; Chapter 2: Building a UAV-Hyperspectral System I: UAV and Sensor Considerations; Chapter 3: Building a UAV-Hyperspectral System II: Hyperspectral Sensor Considerations and Data Preprocessing; Chapter 4: LiDAR and Spectral Data Integration for Coastal Wetland Assessment; Chapter 5: Multiview Image Matching for 3D Earth Surface Reconstruction.
متن يادداشت
Chapter 16: Fraction Vegetation Cover Extraction Using High Spatial Resolution Imagery in Karst AreasChapter 17: Using High Spatial Resolution Imagery to Estimate Cherry Orchard Acreage in Michigan; Index.
متن يادداشت
Chapter 6: High-Resolution Radar Data Processing and ApplicationsSection II: Algorithms and Techniques; Chapter 7: Structure from Motion Techniques for Estimating the Volume of Wood Chips; Chapter 8: A Workflow to Quantify the Carbon Storage in Urban Trees Using Multispectral ALS Data; Chapter 9: Suitable Spectral Mixing Space Selection for Linear Spectral Unmixing of Fine-Scale Urban Imagery; Chapter 10: Segmentation Scale Selection in Geographic Object-Based Image Analysis; Chapter 11: Computer Vision Methodologies for Automated Processing of Camera Trap Data: A Technological Review.
متن يادداشت
Section III: Case Studies and ApplicationsChapter 12: UAV-Based Multispectral Images for Investigating Grassland Biophysical and Biochemical Properties; Chapter 13: Inversion of a Radiative Transfer Model Using Hyperspectral Data for Deriving Grassland Leaf Chlorophyll; Chapter 14: Wetland Detection Using High Spatial Resolution Optical Remote Sensing Imagery; Chapter 15: Geomorphic and Biophysical Characterization of Wetland Ecosystems with Airborne LiDAR: Concepts, Methods, and a Case Study.
بدون عنوان
0
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
"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.