The Use of Remote Sensing in the Modeling of Forest Productivity

Author:   Henry L. Gholz ,  Kaneyuki Nakane ,  Haruhisa Shimoda
Publisher:   Kluwer Academic Publishers
Volume:   v. 50
ISBN:  

9780792342786


Pages:   336
Publication Date:   01 January 1997
Format:   Hardback
Availability:   Out of stock   Availability explained
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The Use of Remote Sensing in the Modeling of Forest Productivity


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Overview

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.

Full Product Details

Author:   Henry L. Gholz ,  Kaneyuki Nakane ,  Haruhisa Shimoda
Publisher:   Kluwer Academic Publishers
Imprint:   Kluwer Academic Publishers
Volume:   v. 50
Dimensions:   Width: 16.50cm , Height: 2.00cm , Length: 23.00cm
Weight:   0.712kg
ISBN:  

9780792342786


ISBN 10:   079234278
Pages:   336
Publication Date:   01 January 1997
Audience:   College/higher education ,  Professional and scholarly ,  General/trade ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

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.

Reviews

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)


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