Title

Northern forest ecosystem dynamics using coupled models and remote sensing

Authors

Authors

K. J. Ranson; G. Sun; R. G. Knox; E. R. Levine; J. F. Weishampel;S. T. Fifer

Abbreviated Journal Title

Remote Sens. Environ.

Keywords

RADAR BACKSCATTER; BOREAL FORESTS; SAR IMAGES; BIOMASS; CLASSIFICATION; MULTIFREQUENCY; TEMPERATURE; SIMULATION; ALASKA; MAINE; Environmental Sciences; Remote Sensing; Imaging Science & Photographic; Technology

Abstract

Forest ecosystem dynamics modeling, remote sensing data analysis, ann a geographical information system (GIS) were used together to determine the possible growth and development of a northern forest in Maine, USA. Field measurements and airborne synthetic aperture radar (SAR) data were used to produce maps of forest cover type and above ground biomass. These forest attribute maps derived with remote sensing data, along with a conventional soils map, were used to identify the initial conditions for forest ecosystem model simulations. Using this information along with ecosystem model results enabled the development of predictive maps of forest development The results obtained were consistent with observed forest conditions and expected successional trajectories. The study demonstrated that ecosystem models might be used in a spatial context when parametrized and used with georeferenced data sets. (C) Elsevier Science Inc., 2001. All Rights Reserved.

Journal Title

Remote Sensing of Environment

Volume

75

Issue/Number

2

Publication Date

1-1-2001

Document Type

Article

Language

English

First Page

291

Last Page

302

WOS Identifier

WOS:000166637000012

ISSN

0034-4257

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