High spatial resolution remote sensing : data, analysis, and applications /

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Bibliographic Details
Imprint:Boca Raton, FL : CRC Press, Taylor & Francis Group, [2018]
Description:xxiii, 381 pages ; 24 cm.
Language:English
Series:Taylor & Francis series in imaging science
Taylor & Francis series in imaging science.
Subject:Remote sensing.
Optical radar.
Environmental sciences -- Remote sensing.
Environmental sciences -- Remote sensing.
Optical radar.
Remote sensing.
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11657781
Hidden Bibliographic Details
Other authors / contributors:He, Yuhong, 1978- editor.
Weng, Qihao, editor.
ISBN:9781498767682
1498767680
Notes:Includes bibliographical references and index.
Description
Summary:

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.

Physical Description:xxiii, 381 pages ; 24 cm.
Bibliography:Includes bibliographical references and index.
ISBN:9781498767682
1498767680