Hyperspectral remote sensing of tropical and sub-tropical forests / Edited by Margaret Kalacska, G. Arturo Sánchez Azofeifa

Incluye bibliografía e índice

Preface.. Contributors.. Chapter 1 Tropical Dry Forest Phenology and Discrimination of Tropical Tree Species Using Hyperspectral Data.. Chapter 2 Remote Sensing and Plant Functional Groups:. Physiology, Ecology, and Spectroscopy in Tropical Systems.. Chapter 3 Hyperspectral Data for Assessing Carbon Dynamics and Biodiversity of Forests.. Chapter 4 Effect of Soil Type on Plant Growth, Leaf Nutrient/Chlorophyll Concentration, and Leaf Reflectance of Tropical Tree and Grass Species.. Chapter 5 Spectral Expression of Gender: A Pilot Study with Two Dioecious Neotropical Tree Species.. Chapter 6 Species Classification of Tropical Tree Leaf Reflectance and Dependence on Selection of Spectral Bands.. Chapter 7 Discriminating Sirex noctilio Attack in Pine Forest Plantations in South Africa Using High Spectral Resolution Data.. Chapter 8 Hyperspectral Remote Sensing of Exposed Wood and Deciduous Trees in Seasonal Tropical Forests.. Chapter 9 Assessing Recovery Following Selective Logging of Lowland Tropical Forests Based on Hyperspectral Imagery.. Chapter 10 A Technique for Reflectance Calibration of Airborne Hyperspectral Spectrometer Data Using a Broad, Multiband Radiometer.. Chapter 11 Assessment of Phenologic Variability in Amazon Tropical Rainforests Using Hyperspectral Hyperion and MODIS Satellite Data.. Chapter 12 Hyperspectral Remote Sensing of Canopy Chemistry, Physiology, and Biodiversity in Tropical Rainforests.. Chapter 13 Tropical Remote Sensing-Opportunities and Challenges.. Index

Our main motivation for this book is to illustrate the potential for hyperspectral remote sensing to provide tools and information to infer and assess ecosystem characteristics at various spatial and temporal scales in the tropics and subtropics. The greater sensitivity and finer spectral resolution provided by these data offer unprecedented opportunities to study in detail even the most remote and inaccessible areas. These data also provide a means for retrospective or ongoing assessments. Examples from the chapters cover a range of ecosystem types, including mangroves, wooded savannas, rain forests, and dry forests, thus providing a nearly global perspective with study sites in Central and South America, Africa, Australia, and Hawaii. In the broad field of remote sensing from the Earth and planetary sciences, hyperspectral sensors and data are a relatively new and untapped data source. Most frequently they have been applied in other environments for forestry, agricultural, mineral exploration, and geologic applications; in the tropics, however, they are still under-used. The diversity of tropical and subtropicalecosystems, while providing a complex and unique set of challenges to the use of hyperspectral data, also offers an ideal environment to develop, test, and apply new techniques. It is precisely the complex and dynamic nature of these ecosystems that makes them such interesting and exciting areas for research with hyperspectral data. eng

One of the most unique features of this book is the focus on the application of hyperspectral technology specifically addressing tropical and subtropical environments with real-world examples and actual data. The authors also integrate a range of analysis techniques, including hyperspectral reflectance indices, spectral mixture analysis, patternclassification, band selection, partial least squares, linear discriminant analysis, and radiative transfer models. The chapters present a comprehensive review of the current status and most innovative achievements of hyperspectral remote sensing in tropical and subtropical environments; over 500 separate studies are cited. And, as illustrated by the diverse backgrounds of the contributors, the most successful use of hyperspectral data in tropical or subtropical regions integrates a multidisciplinary approach spanning a wide range of expertise. Several detailed volumes exist exploring the fundamentals of remote sensing, spectrometry, and image analysis in detail. Therefore, the purpose of this book is not to provide a tutorial in remote sensing; rather, its aim is to provide an illustration of the potential applications and analysis techniques that can be used, addressing the unique challenge of working in the tropics. Nevertheless, background information on hyperspectral remote sensing and the spectral characteristics of vegetation is provided in chapters 1, 2, 3, and 12. This book is structured as a set of 13 contributed chapters addressing techniques and applications of hyperspectral remote sensing for tropical and subtropical forests with field spectrometry, airborne spectrometry and imagery, and satellite imagery. eng