FP4-ENV 2C, Synthese von Parametern zur Feststellung von Veraenderungen zur Erzeugung eines Indikators fuer die Veraenderung von Bodenoberflaechen fuer langfristige Untersuchungen zur Wuestenbildung (RESYSMED)

Description: Erstellung und Aufbereitung eines mehrjaehrigen validierten und homogenisierten Datensatzes aus NOAA-AVHRR und Meteosat-Satellitendaten fuer den gesamten Mittelmeerraum. Daraus werden Indices fuer Aenderungen an der Landoberflaeche abgeleitet. Diese Indices bilden die Basis fuer die Ableitung sekundaerer Groessen wie Strahlungs- oder Waermefluesse oder Bodenfeuchteaenderungen, in dem die primaeren Groessen mit entsprechenden Modellen kombiniert werden. Die Ergebnisse fuer individuelle Parameter sollen zum einem 'land-surface change indicator' integriert werden.

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Tags: Solarstrahlung ? Strahlungsbilanz ? Satellit ? Landschaftsbewertung ? Bodenfeuchte ? Datenmodell ? Datenerhebung ? Fernerkundung ? Kenngröße ? Landschaftsanalyse ? Bodenoberfläche ? Land-Surface-Change-Indikator ? Long-Term-Desertification-Study ? Meteosat ? Mittelmeerländer ? RESYSMED ? Wärmeausbreitung ? Wärmefluss ?

Region: Zoologischer Garten Berlin

Bounding boxes: 13.3371° .. 13.3371° x 52.50794° .. 52.50794°

License: Creative Commons Namensnennung-keine Bearbeitung-Nichtkommerziell 4.0

Language: Deutsch

Organisations

• Agricultural University Wageningen, Department of Water Resources (Mitwirkung)
• Ben Gurion University of the Negev Beersheva (Mitwirkung)
• Centro di Studio per l'applicatione dell'informatica in Agricoltura (Mitwirkung)
• Deutsches Zentrum für Luft- und Raumfahrt (Mitwirkung)
• Europäische Kommission (Finanzielle Förderung)
• Forschungszentrum Karlsruhe GmbH Technik und Umwelt, Institut für Meteorologie und Klimaforschung (Mitwirkung)
• Freie Universität Berlin (Projektverantwortung)
• Umweltbundesamt (Bereitstellung)
• Universidad de Valencia, Facultad de Fisica, Departamento de Termodinamica (Mitwirkung)
• Universite Strasbourg, Illkirch (Mitwirkung)
• Universiteit Amsterdam, Faculteit der Aardwetenschapen (Mitwirkung)
• Universität Basel, Institut für Meteorologie, Klimatologie und Fernerkundung (Mitwirkung)

Last harvest: 04.05.2026 00:19

Time ranges: 1998-04-01 - 1999-08-31

Alternatives

• Language: Englisch/English
  Title: Synthesis of Change Detection Parameters into a Land-Surface Change Indicator for Long-Term Desertification Studies (RESYSMED)
  Description: General Information: The RESYSMED project buildson previous achievements in the production of calibrated, georeferenced, normalized and corrected series of METEOSAT, NOAA-AVHRR, LANDSAT-TM, SMMR, SSM/I, and ERS 1-2 SAR and WSC data. From the measurements with these sensors specific 'primary' land-surface parameters are derived. These 'primary' data sets are used for diagnostic purposes to quantify changes at the landsurfaces in semi arid regions. Combined with models they serve the production of more complex information, such as fluxes and soil moisture. The goal of the project is to merge these different information of the land-surface into a 'land-surface change indicator' (LCI) that is applied to quantify the state of surface and - in combination with longe term data series - to analyse the process of desertification. A three pronged strategy is followed in the project, on the basis of the results of the previous ENV4-CT95-0094: Firstly, the production and evaluation of normalized large scale and longer term 'primary' data sets that more or less can be inferred directly from measurements made in space and used as indices for changes that occur at the land surface. Secondly, the 'upgrading' of these indices to process advanced quantities like fluxes (radiation, heat) or soil moisture changes, by combining the primary data with models. Thirdly, the application of these combinations of satellite data and models at limited areas where a validation of the information deduced from the spaceborne measurements can be performed by comparing them with collateral higher resolution remote sensing data or measurements made at specific sites at the surface. The work proceeds in the following way: From satellite data obtained from various sources individual partners extract specific parameters and test them either at the basin or at the regional scales with respect to (i) their relationships with physical-biological quantities and (ii) their potential to provide (primarely relative) information about seasonal and interannual changes. Other groups build on the basis of these 'primary' parameters algorithms that allow to compute the fluxes at the surface, specifically evapotranspiration. Still other groups correlate the changes inferred from the satellite data with climate variability (e.g. the interannual changes of the vegetation index with precipitation). Exemplary data series will soon be available to demonstrate the potential of the single elements and of the derived complex quantities (such as fluxes) to describe surface processes both with respect to areal integration and for (limited) time periods. In particular, the proposed project will concentrate on two issues: - to explore the synergetics between the individual components and put intercomparable scales on each line of Table 1, ... Prime Contractor: Accademia Economico Agraria dei eorgofili, Centro di Studio per l'Applicazione dell'Informatica in Agricoltura; Firenze; Italy. https://ufordat.uba.de/UFORDAT/pages/PublicRedirect.aspx?TYP=PR&DSNR=68336

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