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Accueil du site → Doctorat → Allemagne → 2014 → Die Entwicklung des Waldbestandes der Zentralmongolei in den letzten 40 Jahren. Einsatz von Fernerkundung und GIS beim Waldmonitoring

Freien Universität Berlin (2014)

Die Entwicklung des Waldbestandes der Zentralmongolei in den letzten 40 Jahren. Einsatz von Fernerkundung und GIS beim Waldmonitoring

Erdenebat, Erdenejav

Titre : Die Entwicklung des Waldbestandes der Zentralmongolei in den letzten 40 Jahren. Einsatz von Fernerkundung und GIS beim Waldmonitoring

Forest cover changes in central Mongolia over the last 40 years. Application of remote sensing and GIS on forest monitoring

Auteur : Erdenebat, Erdenejav

Université de soutenance : Freien Universität Berlin

Grade : Doktorgrade 2014

Résumé
In arid zone of Central Asia located Mongolia consists predominantly of Gobi and Steppe. However one-fifth of the territory is covered with Taigaforest, which is merging zone of southern Sibirian Taiga into northern Central Asian Steppe. Tree species composition and its distribution range of this forest are changing permanently due to anthropogenic attacks, natural regeneration and reforestation activities. This thesis introduces the application potential of remote sensing and GIS-supported methods to monitor forest resources in Mongolia, based on multitemporal satellite imagery (19742011). The eastern part of Khangai mountains of Mongolia was selected as research area. Used data for the study are multitemporal Landsat imagery as well as geometrical and technical data such as : forest inventory map, digital elevation model, topographic map and terrestrial data. Chronological forest changes were detected by Principle Component Transformation on multitemporal satellite imagery. In this procedure the radiometric and geometric corrected Landsat data were mixed through linear combination and the classification of resultant change detection image was performed. In addition the NDVI of Landsat data, acquired in winter, was applied to classify the evergreen stands (pinus sibirica).
From mutitemporal Landsat data generated forest masks were integrated with Aster GDEM to perform spatial analysis. Derived results of the forest area in relation to relief parameters such as elevation, aspect and slope, as well as overview of the potential areas for afforestation were visualized.
On basis of the thesis results the further actions on protection, monitoring, sustainable utilization of forest resources and reforestation can be conducted in the research area.

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