Perspectives on combining ecological process models and remotely sensed data

A major occupation of the terrestrial remote sensing community is the deriv ation of spatially comprehensive estimates of biophysical parameters, for e xample, leaf area index. However, the majority of this work has been attemp ted without reference to the needs of ecological process studies. While mod el initialisation is an important task there are other ways in which remote sensing can be combined with ecological models. This paper identifies four alternative strategies: (i) to use remotely sensed data to provide estimat es of variables required to drive ecological process models, (ii) to use re motely sensed data to test, validate or verify predictions of ecological pr ocess models, (iii) to use remotely sensed data to update or adjust ecologi cal process model predictions and (iv) to use ecological process models to understand remotely sensed data. The objectives of the paper are to review the four strategies by reference to examples. Directions for future work ar e identified for each strategy, which can be grouped in terms of estimation accuracy, issues of spatial and temporal scale, long term comprehensive da tasets and development of new methods and models with the emphasis on incre ased interaction between scientists from the remote sensing and ecological modelling disciplines. (C) 2000 Elsevier Science B.V. All rights reserved.