Assimilation of Remote Sensing Data into a Canopy Functioning Model — the ADAM Project

摘要

The objective of this study is to develop a methodology for estimating canopy state variables in time and space using assimilation of high temporal frequency SPOT data into vegetation process models. This work is part of the ADAM (Assimilation of spatial Data within Agronomic Models) project, a Franco-Romanian partnership which experiment provided a complete scientific database of remote sensing and ground data "products. Among many kinds of data assimilation techniques, a variational method has been chosen in the prospect of obtaining the adjoint of the canopy functioning model used. The assimilation theory is first presented. Then, the methodology is illustrated on ADAM data with a simple model simulating the temporal biomass evolution, BIOMASS.