Applied remote sensing and GIS integration for model parameterisation
The ARSGISIP project is addressing environmental challenges for sustainable land and water resources management throughout Europe. The objective is to promote the application of remote sensing techniques and GIS integration in representative European regions by demonstrating and verifying the cost-effective implementation of Earth Observation (EO) data for the parameterization of hydrological, erosion and solute transport models. ARSGISIP can be seen as another step towards the upgrade of an European Remote Sensing User Community applying EO data and remote sensing techniques for identifying and classifying source areas which generate runoff, erosion or pollution. This information is urgently demanded by end users to detect and evaluate related environmental pressures and prognostively simulate environmental change. The three year project will jointly be carried out in transnational collaboration by seven Research End User Teams (RETs) from research organizations and agencies dealing with such environmental problems, building the European Research End User Consortium (EREC). Three major European climatic regions are covered by the EREC: - cold boreal (Finland, Norway, Sweden), - humid temperate (Germany, Austria, France) and - mediterranean (France, Italy). All nations will apply standard remote sensing techniques of optical and microwave data according to their respective end user's requirements. Results obtained will contribute towards a methodological pool comprised in the Idealized European Catchment (IEC). The defined work packages such as database, identification, classification, delineation, parameterization and validation are subdivided into individual work tasks and shall provide the following milestones and deliverables of ARSGISIP: individual databases, key model parameters related to physiographic catchment properties, classification of crop patterns, forest canopy, erosion hazard and land degradation, flood plains, eutrophication and sediment input of reservoirs and lakes. The derived classifications will be verified and evaluated by extensive ground truthing campaigns in the respective RET's domain. Results will be presented as thematical maps.