Remote Sensing of Forest Environments: Concepts and Case Studies [Hardcover]

Remote Sensing of Forest Environments: Concepts and Case Studies is an edited volume intended to provide readers with a state-of-the-art synopsis of the current methods and applied applications employed in remote sensing the world's forests. The contributing authors have sought to illustrate and deepen our understanding of remote sensing of forests, providing new insights and indicating opportunities that are created when forests and forest practices are considered in concert with the evolving paradigm of remote sensing science. Following background and methods sections, this book introduces a series of case studies that exemplify the ways in which remotely sensed data are operationally used, as an element of the decision-making process, and in the scientific study of forests.

Remote Sensing of Forest Environments: Concepts and Case Studies is designed to meet the needs of a professional audience composed of both practitioners and researchers. This book is also suitable as a secondary text for graduate-level students in Forestry, Environmental Science, Geography, Engineering, and Computer Science.

Section 1: Data collection and pre-processing.- 1. Remote sensing of forest environments, Introduction. The transition from theory to information.- 2. Selection of remotely sensed data.- 3. The roles of aerial photographs in forestry remote sensing image analysis.- 4. Indirect measurement of forest canopy structure from in situ optical sensors.- 5. Accuracy assessment of maps of forest condition: Statistical design and methodological considerations.- Section 2: Common methods for data processing and information generation.- 6. Geometric correction of remotely sensed images.- 7. Radiometric image processing.- 8. Per-pixel analysis of forest structure: Vegetation indices, spectral mixture analysis and canopy reflectance modeling.- 9. Extracting individual tree information: A surveyl“&