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Accueil du site → Doctorat → Allemagne → 2003 → Development of a fuzzy expert system for detailed land cover mapping in the Dra catchment (Morocco) using high resolution satellite images

Bonn Universität (2003)

Development of a fuzzy expert system for detailed land cover mapping in the Dra catchment (Morocco) using high resolution satellite images

Schmidt, Michael

Titre : Development of a fuzzy expert system for detailed land cover mapping in the Dra catchment (Morocco) using high resolution satellite images

Auteur : Schmidt, Michael

Université de soutenance : Bonn Universität, Mathematisch-Naturwissenschaftliche Fakultät,

Grade : Doktorgrade 2003

Résumé
Land cover and the distribution of vegetation are important parameters in modelsdescribing the earth system. The work described in this thesis was performedin the framework of the IMPETUS project in order to deliver this informationin a detailed manner for the river Dra catchment area in south Morocco. On thebasis of a modified and regionally adapted CORINE land cover classificationscheme a mapping was performed using LANDSAT ETM+ data. Intensive field campaignswere conducted to collect ground truth data and compile a validation dataset. In order to generate a land cover map with high thematic content in high confidencea non standard, knowledge based, expert classification system was implemented.This includes the utilisation and fuzzification of the outputs of two sub-pixelclassifiers : linear spectral unmixing and the spectral angle mapper. The creation of the land cover map requires several data (pre-) processingsteps. Emphasis was placed on the automation of high resolution satellite dataprocessing. Cartographic base material from ASTER data was automatically generatedby the use of digital photogrammetric methods. An automated ground control pointgeneration program was incorporated for an image to image registration. An automaticrelative radiometric image normalisation technique is introduced and utilisedto generate a radiometrically correct LANDSAT ETM+ image mosaic of the catchmentfor May 2000. The expert system was transferred to LANDSAT TM data from April1987 for full automatic change detection without loss of classification detail. Methods to treat obliquely recorded very high resolution satellite data, suchas CORONA and IKONOS are discussed. NOAA/AVHRR data on a daily basis were processedautomatically and compared to TERRA/MODIS data. Multispectral IKONOS data wereused in a biophysical analysis and related to information from high resolutionLANDSAT data. Methods for further improvement and the continuation of researchare outlined and discussed.

Mots clés : Oued Dra ; Einzugsgebiet ; Vegetationskartierung ; Landnutzungskartierung ; Satellitenfernerkundung

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