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

التفاصيل البيبلوغرافية
العنوان: The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains
المؤلفون: Bogdan Zagajewski, Monika Kacprzyk, Koen Meuleman, Adriana Marcinkowska-Ochtyra, Anna Jarocińska, Adrian Ochtyra
المصدر: Miscellanea Geographica: Regional Studies on Development, Vol 20, Iss 1, Pp 21-27 (2016)
بيانات النشر: Walter de Gruyter GmbH, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Hydrology, Geography (General), 010504 meteorology & atmospheric sciences, 0211 other engineering and technologies, 02 engineering and technology, biophysical parameters, vegetation condition, 01 natural sciences, hyperspectal remote sensing, Apex (geometry), apex, vegetation indices, Earth and Planetary Sciences (miscellaneous), G1-922, Forest vegetation, mountain meadows, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences
الوصف: 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.
تدمد: 2084-6118
DOI: 10.1515/mgrsd-2016-0009
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecc19668740b58748efc78569542243f
https://doi.org/10.1515/mgrsd-2016-0009
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....ecc19668740b58748efc78569542243f
قاعدة البيانات: OpenAIRE
الوصف
تدمد:20846118
DOI:10.1515/mgrsd-2016-0009