The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains
Published Online: Apr 20, 2016
Page range: 21 - 27
Received: Jul 20, 2015
Accepted: Feb 10, 2016
DOI: https://doi.org/10.1515/mgrsd-2016-0009
Keywords
© by Anna M. Jarocińska
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
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.