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

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The Use of Remote Sensing in the Modeling of Forest Productivity

Part of the book series: Forestry Sciences ((FOSC,volume 50))

Abstract

To address questions concerning the effects of naturally occurring or anthropogenically induced spatial heterogeneity on forested stands and landscapes, it is necessary to couple spatially explicit simulators with georeferenced data. In this study, we quantified heterogeneity within a forested scene from central Maine by using edge detection algorithms designed for synthetic aperture radar (SAR) imagery. A spatially extended forest gap model that incorporates a three-dimensional solar radiation routine was used to simulate forest stand productivity as a function of edge orientation. The model results were then scaled up to the landscape based on the extent of edge and edge orientations detected in the SAR scene. The estimated increase in productivity, as a function of light-mediated edge effects, averaged ≈26% to ≈4% at the pixel (12.1 × 12.1-m) and scene (≈3600-ha) scales, respectively, over a 120-yr period after the edge was created.

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Authors and Affiliations

  1. Department of Biology, University of Central Florida, P.O. Box 2368, Orlando, FL, 32816-2368, USA

    John F. Weishampel

  2. Biospheric Sciences Branch, Code 923, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA

    Robert G. Knox, K. Jon Ranson & Darrel L. Williams

  3. Laboratory for Terrestrial Physics, Code 920, NASA Goddard Space Flight Center, Greenbelt, MD, 20771, USA

    James A. Smith

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  1. John F. Weishampel
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  2. Robert G. Knox
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  3. K. Jon Ranson
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  4. Darrel L. Williams
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  5. James A. Smith
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Editors and Affiliations

  1. Tokai University, Tokyo, Japan

    Haruhisa Shimoda

  2. University of Florida, Gainesville, Florida, USA

    Henry L. Gholz

  3. Hiroshima University, Hiroshima, Japan

    Kaneyuki Nakane

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Weishampel, J.F., Knox, R.G., Ranson, K.J., Williams, D.L., Smith, J.A. (1997). Integrating Remotely Sensed Spatial Heterogeneity with a Three-dimensional Forest Succession Model. In: Shimoda, H., Gholz, H.L., Nakane, K. (eds) The Use of Remote Sensing in the Modeling of Forest Productivity. Forestry Sciences, vol 50. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5446-8_5

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