This book provides the practical basis for the use of remote sensing to accomplish landscape ecological projects, through the merging of theory and practice, with examples. This is a specialized application and both these topics have evolved rapidly in the past decade. This evolution is not in the previous edition, and indeed this update provides much new information and valuable ideas for the professional and assist in directing the training of new personnel. The new edition will feature a combination of landscape ecology metrics, quantitative field measurements, and geospatial analyses.
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About the Author
Ricardo "Ric" Daniel Lopez is a leader in the field of Landscape Ecology. During his tenure in academia and public service, he has lead in the geographically diverse applications of remote sensing and field-based approaches for geospatial analyses, as applied to both theoretical and applied environmental topics. This body of work includes monitoring and assessing of terrestrial, aquatic, and transitional ecosystems; invasive plant species; multi-scale indicators of sustainability; and solutions to risk-based landscape ecology issues. A native of California, Lopez has spent much of his life exploring and writing about the diverse aspects of complex landscapes, from the tropics to temperate regions, bringing his expertise as a landscape ecologist to bear on specific local, regional, and global environmental issues. Lopez earned his B.S. in Ecology, Behavior, and Evolution at the University of California, San Diego, and his master’s and doctoral degrees in Environmental Science at The Ohio State University, with an emphasis in Landscape Ecology and Wetland Ecology.
Table of Contents
Introduction. Key Processes for Effective Remote Sensing–Based Landscape Ecology Projects. Utilizing Remote Sensing to Solve Landscape Ecology Challenges in Diverse Landscapes. Applied Analyses of Broad-Scale Landscape Gradients of Condition. Applied Analyses of Regional Scale Landscape Gradients of Condition. Meeting the Landscape Ecology Challenges of the Future with Remote Sensing. References. Metadata Cited. Glossary.