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Communication Dans Un Congrès Année : 2015

Importance of the Remote Sensing Image Analysis for Mapping Forest Land Cover in Šumava National Park

Polina Lemenkova

Résumé

The study area is Šumava National Park (ŠNP), the largest of the four national parks located in the south-west of the Czech Republic, established as a special regime of environmental protection. A unique mosaic of forest habitats of exceptional natural value of European-wide significance, the ŠNP represents the largest terrestrial significant part of the Natura 2000 network in Czech Republic and Germany with unique mosaic of forest biotopes, rare, endemic and endangered species. It forms one of the largest forested areas between the Atlantic Ocean and the Ural. Recently, the ŠNP experienced changes in the landscapes and ecological community dynamics due to both natural climate changes and human impacts. Some parts of ŠNP are deforested and used for agriculture in the last decades. Most of the fields and meadow areas have been abandoned. Many species are threatened by the land-use changes. During the last decades some ecosystems` components are being gradually changed, degrading, some endangered, rare, unique and important species are under extinction. As a result, the vegetation in the forest ecosystems is gradually changing and degrading. Human effects include fragmentation, and deforestation of original floodplain forests. Therefore, the questions of environmentally sustainable management is highly important and the future of nature conservation of ŠNP caused discussions and worries. Current paper contributes to the environmental mapping of this precious forest area. The research aim was to analyse how the forest landscapes has changed from 1991 up to 2009 (18- years) using remote sensing data and GIS. The data include GIS layers: raster Landsat TM images and vector thematic layers in ArcGIS format. Technically, the GIS project was made in Quantum GIS environment. Methodologically, spatial analysis was used to test the importance of the land cover changes in forest areas. The results include two maps showing the geographic distribution of land cover types within the 18-year period. The results visualized forest landscape dynamics in 1991 and 2009. They demonstrated effective application of QGIS software with multi-source geospatial data for environmental mapping of precious forest areas. The combination of remote sensing data and GIS tools for pattern recognition proved to be effective for geo-botanical forest research.
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hal-02018196 , version 1 (13-02-2019)

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CC0 - Transfert dans le Domaine Public

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Polina Lemenkova. Importance of the Remote Sensing Image Analysis for Mapping Forest Land Cover in Šumava National Park. Forestry: Bridge to the Future. 90 years Higher Forestry Education in Bulgaria, University of Forestry, May 2015, Sofia, Bulgaria. pp.70-71, ⟨10.6084/m9.figshare.7211777⟩. ⟨hal-02018196⟩
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