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Progress in Physical Geography
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Forest ecosystem simulation modelling: the role of remote sensing

Neil S. Lucas

School of Geography, Kingston University, Kingston upon Thames, Surrey KT1 2EE, UK

Paul J. Curran

Department of Geography, University of Southampton, Southampton SO17 1BJ, UK

In recent years forest ecosystems have come under increasing pressure from environmental changes such as global warming and the impacts of pollution. Recent research has indicated that computer-simulation models driven by remotely sensed estimates of key variables may be used to assess the spatial impact of global environment changes on forest processes. This article begins with a discussion of key issues related to driving such models with remotely sensed estimates of these key variables. The article then outlines an investigation that examined whether a general ecosystem simulation model (FOREST-BGC), driven by remotely sensed and meteorological data, could be used to estimate forest processes for a Sitka spruce (Picea sitchensis) plantation in mid-Wales.

Key Words: accuracy assessment • ecosystem models • remote sensing • scale • Sitka spruce

Progress in Physical Geography, Vol. 23, No. 3, 391-423 (1999)
DOI: 10.1177/030913339902300304
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