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

Jarocińska Anna M. (), Kacprzyk Monika (), Marcinkowska-Ochtyra Adriana (), Ochtyra Adrian (), Zagajewski Bogdan () and Meuleman Koen ()
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Jarocińska Anna M.: Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Poland
Kacprzyk Monika: Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Poland
Marcinkowska-Ochtyra Adriana: Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Poland
Ochtyra Adrian: Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, Poland
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

Miscellanea Geographica. Regional Studies on Development, 2016, vol. 20, issue 1, 21-27

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.

Keywords: Mountain meadows; vegetation condition; APEX; hyperspectal remote sensing; vegetation indices; biophysical parameters (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:mgrsod:v:20:y:2016:i:1:p:21-27:n:7

DOI: 10.1515/mgrsd-2016-0009

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