Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests

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ISBN 9781420053418
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Features

  • Covers a wide range of tropical ecosystems, such as dry forests, moist forests, wet/rain forests, chapparal, and the Amazon basin
  • Provides examples from different geographic regions such as Central America, South America, Australia, Hawai’i, and Africa
  • Examines the application of analysis techniques that are new to the remote sensing community, such as wavelet transforms and machine learning
  • Illustrates a range of scales and data types from in situ measurements with handheld spectrometers to airborne systems and satellite imagery
  • Summary

    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 this technology and the data it provides.

    Special Features

    • A CD-ROM including hyperspectral color images
    • Coverage of in situ spectroscopy, airborne and satellite-based remote sensing, and fusion with other forms of data such as LiDAR
    • Peer-reviewed chapters that highlight the most innovative achievements
    • Discussion of the potential of hyperspectral remote sensing to provide tools for assessing ecosystem characteristics at various spatial and temporal scales

    Experts from Diverse Backgrounds Share Their Successes

    The book explores a range of analysis techniques, including hyperspectral reflectance indices, spectral mixture analysis, pattern classification, band selection, partial least-squares, linear discriminant analysis, and radiative transfer models. The chapter authors present a comprehensive review of the current status and innovative achievements in the field, citing approximately six hundred studies. As illustrated by the diverse backgrounds of the contributors, the most successful use of hyperspectral data requires a multidisciplinary approach spanning a wide range of fields.

    Go Beyond the Basics to Actual Application

    Although it begins by touching on the basics, this book is not a tutorial in remote sensing, but a reference that illustrates the potential applications and analysis techniques that can be used when facing the unique challenge of working in the tropics. It presents real-world examples and a suite of analysis techniques for using hyperspectral remote sensing in complex and diverse regions.

    Table of Contents

    Tropical Dry Forest Phenology and Discrimination of Tropical Tree Species Using Hyperspectral Data, K.L. Castro-Esau and M. Kalacska
    Remote Sensing and Plant Functional Groups: Physiology, Ecology, and Spectroscopy in Tropical Systems, M. Alvarez-Añorve, M. Quesada, and E. de la Barrera
    Hyperspectral Data for Assessing Carbon Dynamics and Biodiversity of Forests, R. Lucas, A. Mitchell, and P. Bunting
    Effect of Soil Type on Plant Growth, Leaf Nutrient/Chlorophyll Concentration, and Leaf Reflectance of Tropical Tree and Grass Species, J.C. Calvo-Alvarado, M. Kalacska, G.A. Sanchez-Azofeifa, and L.S. Bell
    Spectral Expression of Gender: A Pilot Study with Two Dioecious Neotropical Tree Species, J.P. Arroyo-Mora, M. Kalacska, B.L. Caraballo, J.E. Trujillo, and O. Vargas
    Species Classification of Tropical Tree Leaf Reflectance and Dependence on Selection of Spectral Bands, B. Rivard, G.A. Sanchez-Azofeifa, S. Foley, and J.C. Calvo-Alvarado
    Discriminating Sirex noctilio Attack in Pine Forest Plantations in South Africa Using High Spectral Resolution Data, R. Ismail, O. Mutanga, and F. Ahmed
    Hyperspectral Remote Sensing of Exposed Wood and Deciduous Trees in Seasonal Tropical Forests, S. Bohlman
    Assessing Recovery Following Selective Logging of Lowland Tropical Forests Based on Hyperspectral Imagery, J.P. Arroyo-Mora, M. Kalacska, R.L. Chazdon, D.L. Civco, G. Obando-Vargas, and A.A. Sanchún Hernández
    A Technique for Reflectance Calibration of Airborne Hyperspectral Spectrometer Data Using a Broad, Multiband Radiometer, T. Miura, A.R. Huete, L.G. Ferreira, E.E. Sano, and H. Yoshioka
    Assessment of Phenologic Variability in Amazon Tropical Rainforests Using Hyperspectral Hyperion and MODIS Satellite Data, A.R. Huete, Y. Kim, P. Ratana, K. Didan, Y.E. Shimabukuro, and T. Miura
    Hyperspectral Remote Sensing of Canopy Chemistry, Physiology, and Biodiversity in Tropical Rainforests, G.P. Asner
    Tropical Remote Sensing —Opportunities and Challenges, J.A. Gamon Index

    Author Bio(s)

    Editorial Reviews

    "...primary strength of this book is the diverse array of contributing authors that represent the state-of-the-art in hyperspectral remote sensing...an excellent job of describing the opportunities and challenges that exist for tropical remote sensing...an enormous contribution to the hyperspectral remote sensing community and fills a knowledge void for ecologists and conservationists...helps consolidate knowledge and will stimulate creative and insightful thinking..."
    —Steven R. Schill, Senior Scientist, The Nature Conservancy, San Jose, Costa Rica in Photogrammetric Engineering & Remote Sensing, Vol. 75, No. 2, February 2009