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Applied remote sensing and GIS integration for model parameterisation

Objetivo



The project "Applied Remote Sensing and GIS Integration for Model Parameterisation (ARSGISIP)" is addressing environmental challenges for sustainable land and water resources management throughout Europe (Fig. 1). 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 EO data for the parameterisation of hydrological, erosion and solute transport models. The proposed project can be seen as another step towards the upgrade of a 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 (Sect. 6 - 7, Fig. 3, Tab. 1) by seven Research End User Teams (RETs) from research organizations and agencies dealing with such environmental problems and building the European Research End User Consortium (EREC). Three major European climatic regions are covered by the EREC (Fig. 2): cold boreal (Finland, Norway, Sweden), humid temperate (France, Germany, Austria) and mediterranean (France, Italy). All RETs 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 Idealised European Catchment (IEC).
Six Work Packages (WPs) were defined: Database, Identification, Classification, Delineation, Parameterisation and Validation (Sect. 1, 2), which are subdivided into individual Work Tasks (WTs). They will provide the milestones and deliverables (Sect. 3, Tab. 2) of ARSGISIP such as: individual databases, key model parameters related to physiographic catchment properties, classifications 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 verifyied and evaluated by extensive ground truthing campaigns in the respective RET's domain and results will be presented as thematical maps.
By integrating the results into a GIS, source areas will be delineated as Response Units (RUB) e.g. for runoff generation or nutrient leaching. The latter (e.g. Hydrological Response Units, HRUs or Erosion Response Units, ERUs) are modelling entities and will be parameterised by means of GIS analysis for the end users models.
Validation of the parameterisation will include simulation runs using "what-if?-scenarios" and field-verification, e.g. mapping inundated areas or erosion dynamics.
Thorough cost-benefit analyses carried out in close cooperation with the respective end users is rounding up the validation exercise.
By applying remote sensing techniques, (i) RETs from similar climatic regions (Fig. 2) will collaborate within the same climatic region and (ii) RETs from different climatic regions (Fig. 3, Tab. 1) are collaborating at the same IEC components. Based on this synergetic, two-level structure, each partner has its necessity by being firstly embedded within the RET-partnership of its climatic region and by secondly being a member of the RET-partnership of its respective IEC component. Special attention will be given to the project coordination (Sect. 6), which makes use of strong communication links, a project Newsletter, four Workshops organized and conviened by RETs from each of the three climatic zones represented in ARSGISIP and additional coordinating visits.
Funding of 1,161.75 kECU from the EC is requested which is 78.7% of the total cost.

Régimen de financiación

CSC - Cost-sharing contracts

Coordinador

FRIEDRICH-SCHILLER-UNIVERSITAET JENA
Dirección
32,Löbdergraben 32
07743 Jena
Alemania

Participantes (6)

AUSTRIAN RESEARCH CENTERS SIEBERDORF
Austria
Dirección

2444 Seibersdorf
Kungliga Tekniska Högskolan
Suecia
Dirección
32,Brinellvägen
100 44 Stockholm
NANSEN ENVIRONMENTAL AND REMOTE SENSING CENTER
Noruega
Dirección
3A,edvard Griegsvej 3A
5059 Bergen
UNIVERSITY OF OULU
Finlandia
Dirección
Linnanmaa
90014 Oulu
Università degli Studi di Firenze
Italia
Dirección
Piazzale Delle Cascine 15
50144 Firenze
Université Louis Pasteur, Strasbourg 1
Francia
Dirección
Boulevard Sebastien Brant
67400 Strasbourg