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The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains

Author

Listed:
  • Jarocińska Anna M.
  • Kacprzyk Monika
  • Marcinkowska-Ochtyra Adriana
  • Ochtyra Adrian
  • Zagajewski Bogdan

    (Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Poland)

  • Meuleman Koen

    (VITO – Centre for Remote Sensing and Earth Observation Processes, Belgium)

Abstract

Information about vegetation condition is needed for the effective management of natural resources and the estimation of the effectiveness of nature conservation. The aim of the study was to analyse the condition of non-forest mountain communities: synanthropic communities and natural grasslands. UNESCO’s M&B Karkonosze Transboundary Biosphere Reserve was selected as the research area. The analysis was based on 40 field test polygons and APEX hyperspectral images. The field measurements allowed the collection of biophysical parameters - Leaf Area Index (LAI), fraction of Absorbed Photosynthetically Active Radiation (fAPAR) and chlorophyll content - which were correlated with vegetation indices calculated using the APEX images. Correlations were observed between the vegetation indices (general condition, plant structure) and total area of leaves (LAI), as well as fraction of Absorbed Photosynthetically Active Radiation (fAPAR). The outcomes show that the non-forest communities in the Karkonosze are in good condition, with the synanthropic communities characterised by better condition compared to the natural communities.

Suggested Citation

  • Jarocińska Anna M. & Kacprzyk Monika & Marcinkowska-Ochtyra Adriana & Ochtyra Adrian & Zagajewski Bogdan & Meuleman Koen, 2016. "The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 20(1), pages 21-27, March.
    • Handle: RePEc:vrs:mgrsod:v:20:y:2016:i:1:p:21-27:n:7
    DOI: 10.1515/mgrsd-2016-0009
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