High Spatial Resolution Remote Sensing (e-bog) af -
Weng, Qihao (redaktør)

High Spatial Resolution Remote Sensing e-bog

2190,77 DKK (inkl. moms 2738,46 DKK)
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 ...
E-bog 2190,77 DKK
Forfattere Weng, Qihao (redaktør)
Forlag CRC Press
Udgivet 27 juni 2018
Længde 381 sider
Genrer Human geography
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9780429893001
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.