The Use of Remote Sensing in the Modeling of Forest Productivity

1. Front Matter

   Pages i-vii

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2. Stand-Level Analyses

   1. Front Matter

      Pages 1-1

      PDF

   2. Assessing Leaf Area and Canopy Biochemistry of Florida Pine Plantations Using Remote Sensing

      • Henry L. Gholz, Paul J. Curran, John A. Kupiec, Geoff M. Smith

      Pages 3-22

   3. Modeling Radiative Transfer through Forest Canopies: Implications for Canopy Photosynthesis and Remote Sensing

      • Tiit Nilson, Juhan Ross

      Pages 23-60

   4. Estimating Forest Canopy Characteristics as Inputs for Models of Forest Carbon Exchange by High Spectral Resolution Remote Sensing

      • Mary E. Martin, John D. Aber

      Pages 61-72

3. Landscape/Regional-Level Analyses

   1. Front Matter

      Pages 73-73

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   2. Detecting Structural and Growth Changes in Woodlands and Forests: The Challenge for Remote Sensing and the Role of Geometric-Optical Modelling

      • David L. B. Jupp, Joe Walker

      Pages 75-108

   3. Integrating Remotely Sensed Spatial Heterogeneity with a Three-dimensional Forest Succession Model

      • John F. Weishampel, Robert G. Knox, K. Jon Ranson, Darrel L. Williams, James A. Smith

      Pages 109-133

   4. Combining Remote Sensing and Forest Ecosystem Modeling: An Example Using the Regional HydroEcological Simulation System (RHESSys)

      • Joseph C. Coughlan, Jennifer L. Dungan

      Pages 135-158

   5. Forest Vegetation Classification and Biomass Estimation Based on Landsat TM Data in a Mountainous Region of West Japan

      • Nam J. Lee, Kaneyuki Nakane

      Pages 159-171

   6. Forest Structure and Productivity along the Oregon Transect

      • David L. Peterson

      Pages 173-218

   7. Use of Remote Sensing to Model Land Use Effects on Carbon Flux in Forests of the Pacific Northwest, USA

      • David O. Wallin, Mark E. Harmon, Warren B. Cohen, Maria Fiorella, William K. Ferrell

      Pages 219-237

4. Global-Level Analyses

   1. Front Matter

      Pages 239-239

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   2. Global Biospheric Monitoring with Remote Sensing

      • Samuel N. Goward, Dennis G. Dye

      Pages 241-272

   3. Energy Conversion and Use in Forests: An Analysis of Forest Production in Terms of Radiation Utilisation Efficiency (ɛ)

      • J. J. Landsberg, S. D. Prince, P. G. Jarvis, R. E. McMurtrie, R. Luxmoore, B. E. Medlyn

      Pages 273-298

5. Back Matter

   Pages 299-326

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Forests comprise the greatest storage of carbon on land, provide fuel for millions, are the habitat for most terrestrial biodiversity, and are critical to the economies of many countries. Yet changes in the extent and dynamics of forests are inherently difficult to detect and quantify. Remote sensing technologies may facilitate the measurement of some key forest properties which, when combined with other information contained in various computer models, may allow for the quantification of critical forest functions. This book explores how remote sensing and computer modeling can be combined to estimate changes in the carbon storage, or productivity, of forests - from the level of the leaf to the level of the globe. Land managers, researchers, policy makers and students will all find stimulating discussions among an international set of experts at the cutting edge of the interface between science, technology and management.

• Landsat
• Plantation
• biochemistry
• biodiversity
• biomass
• chemistry
• ecosystem
• forest
• growth
• remote sensing
• simulation
• vegetation
• remote sensing/photogrammetry

`The approaches discussed in the book are not limited to forests only they can easily be utilized in evaluation of other types of ecosystems. This is why the book will certainly be highly valuable for a wide range of scientists and land managers.'
Biologia Plantarum, 40:4 (1997/8)

• Tokai University, Tokyo, Japan

  Haruhisa Shimoda

• University of Florida, Gainesville, USA

  Henry L. Gholz

• Hiroshima University, Hiroshima, Japan

  Kaneyuki Nakane

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