Remote Sensing for Biodiversity and Wildlife Management: Synthesis and Applications

Remote Sensing for Biodiversity and Wildlife Management: Synthesis and Applications
Author :
Publisher : McGraw Hill Professional
Total Pages : 373
Release :
ISBN-10 : 9780071626279
ISBN-13 : 0071626271
Rating : 4/5 (79 Downloads)

Book Synopsis Remote Sensing for Biodiversity and Wildlife Management: Synthesis and Applications by : Steven E. Franklin

Download or read book Remote Sensing for Biodiversity and Wildlife Management: Synthesis and Applications written by Steven E. Franklin and published by McGraw Hill Professional. This book was released on 2010-01-25 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Latest Advances in Remote Sensing for Biodiversity This state-of-the-art volume provides fundamental information on and practical applications of remote sensing technologies in wildlife management, habitat studies, and biodiversity assessment and monitoring. The book reviews image analysis, interpretation techniques, and key geospatial tools, including field-based, aerial, and satellite remote sensing, GIS, GPS, and spatial modeling. Remote Sensing for Biodiversity and Wildlife Management emphasizes transdisciplinary collaboration, technological innovations, and new applications in this emerging field. Landmark case studies and illustrative examples of best practices in biodiversity and wildlife management remote sensing at multiple scales are featured in this pioneering work. COVERAGE INCLUDES: Management information requirements Geospatial data collection and processing Thermal, passive and active microwave, and passive and active optical sensing Integrated remote sensing, GIS, GPS, and spatial models Remote sensing of ecosystem process and structure Proven methods for acquiring, interpreting, and analyzing remotely sensed data Habitat suitability and quality analysis Mapping anthropogenic disturbances and modeling species distribution Biodiversity indicators, including species richness mapping and productivity modeling Habitat quality and dynamics Indicators and processes Invasive alien species Species prediction models Food and resources Biodiversity monitoring Fragmentation and spatial heterogeneity


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