Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests
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Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests

Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests


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About the Book

While frequently used in temperate environments, hyperspectral sensors and data are still a novelty in the tropics. Exploring the potential of hyperspectral remote sensing for assessing ecosystem characteristics, Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests focuses on the complex and unique set of challenges involved in using t

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

About the Author :
Margaret Kalacska, Ph.D., obtained both her M.S. and Ph.D. from the Earth and Atmospheric Sciences Department at the University of Alberta, Canada. Her doctoral research focused on the application of remote sensing to tropical dry forest ecology. She is a former TROPI-DRY postdoctoral fellow (University of Alberta) and National Sciences and Engineering Research Council of Canada postdoctoral fellow (Simon Fraser University). She is currently a research fellow in the Centre for Forensic Sciences and the School of Criminology at Simon Fraser University, Canada. Her research interests are the application of hyperspectral data/imagery, machine learning, and Bayesian networks for predictive models and the development of remote sensing techniques in the forensic and environmental sciences. She has experience with ecological, remote sensing, and spectrometry research in Costa Rica, Panama, Mexico, and Japan and has been involved in two airborne multi-/hyperspectral missions over Costa Rica (CARTA I and II). G. Arturo Sanchez-Azofeifa, Ph.D., conducts research related to the study of impacts of land use/cover change (LUCC) on biodiversity loss and habitat fragmentation in tropical dry forest environments. His research involves the study of theoretical linkages between remote sensing (multispectral and hyperspectral) and the spatial/temporal dynamics of leaf area index (LAI), primary productivity (PP), and photosynthetically active radiation (PAR). In addition, his research interests involve the development of techniques for the analysis and interpretation of the presence of non-self-supporting tropical systems (lianas) and tropical hardwood species (e.g., mahogany) at the leaf and canopy level. Dr. Sanchez-Azofeifa is one of the 2006 recipients of an Aldo Leopold Leadership Program fellowship.


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Product Details
  • ISBN-13: 9781000687514
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Language: English
  • ISBN-10: 1000687511
  • Publisher Date: 26 Feb 2008
  • Binding: Digital (delivered electronically)


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