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Books > Professional & Technical > Energy technology & engineering > Electrical engineering
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High Spatial Resolution Remote Sensing - Data, Analysis, and Applications (Hardcover)
Loot Price: R6,758
Discovery Miles 67 580
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High Spatial Resolution Remote Sensing - Data, Analysis, and Applications (Hardcover)
Series: Imaging Science
Expected to ship within 12 - 19 working days
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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.
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