The Use of Remote Sensing in the Modeling of Forest Productivity

Section One: Stand-Level Analyses. 1. Assessing Leaf Area and Canopy Biochemistry of Florida Pine Plantations Using Remote Sensing; H.L. Gholz, et al. 2. Modeling Radiative Transfer Through Forest Canopies: Implications for Canopy Photosynthesis and Remote Sensing; T. Nilson, J. Ross. 3. Estimating Forest Canopy Characteristics as Inputs for Models of Forest Carbon Exchange by High Spectral Resolution Remote Sensing; M.E. Martin, J.D. Aber. Section Two: Landscape/Regional-Level Analyses. 4. Detecting Structural and Growth Changes in Woodlands and Forests: The Challenge for Remote Sensing and the Role of Geometric-Optical Modeling; D.L.B. Jupp, J. Walker. 5. Integrating Remotely Sensed Spatial Heterogeneity with a Three-Dimensional Forest Succession Model; J.F. Weishampel, et al. 6. Combining Remote Sensing and Forest Ecosystem Modeling: An Example Using the Regional HydroEcological Simulation System (RHESSys); J.C. Coughlan, J.L. Dungan. 7. Forest Vegetation Classification and Biomass Estimation Based on Landsat TM Data in a Mountainous Region of West Japan; N.J. Lee, K. Nakane. 8. Forest Structure and Productivity Along the Oregon Transect; D.L. Peterson. 9. Use of Remote Sensing to Model Land Use Effects on Carbon Flux in Forests of the Pacific Northwest, USA; D.O. Wallin, et al. Section Three: Global-Level Analyses. 10. Global Biospheric Monitoring with Remote Sensing; S.N. Goward, D.G. Dye. 11. Energy Conversion and Use in Forests: An Analysis of Forest Production in Terms of Radiation Utilisation Efficiency (E); J.J. Landsberg, et al.