Remote Sensing for Landscape Ecology : Monitoring, Modeling, and Assessment of Ecosystems

This third edition offers a comprehensive and updated exploration of how remote sensing technologies can be effectively applied in landscape ecology.A major highlight of this edition is the addition of a new chapter on theoretical frameworks, which bridges practical applications and case studies, enhancing the book’s relevance across different landscape scales.It strengthens the connection between theory and real-world practice, providing readers with deeper insights into urban green spaces, forests, and the broader ecological systems.It also provides insights into innovative technologies like machine learning and big data analytics, which are vital in solving complex environmental problems. New in the Third EditionIntroduces significant technological advances in remote sensing such as high-resolution imagery and data use, along with more accurate and effective algorithms, which are transforming how landscape data is collected and analyzed. Offers both updated content and new case studies to reflect the maturing fields of remote sensing and landscape ecology. Includes a new chapter explaining theories and models in remote sensing–based landscape ecology framework. Includes an additional chapter with case studies discussing applied analyses of local scale landscapes, and expanded materials throughout on the future trends in landscape monitoring and assessment. Expands on the use of satellite imagery and LiDAR for evaluating land-use changes, monitoring ecosystems, and designing resilient landscapes. Integrates new case studies, new methods, and new models to address a wide range of ecological and societal challenges. This is an excellent book for professionals, students, and entry level personnel in need of training in remote sensing applications for the fields of Landscape Architecture; Environmental Sciences; Geography; Urban Planning and Policy Development; Forestry and Natural Resource Conservation; as well as Ecology and Evolutionary Biology.