The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains
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. UN...
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| Format: | Article |
| Language: | English |
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Sciendo
2016-03-01
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| Series: | Miscellanea Geographica: Regional Studies on Development |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/mgrsd-2016-0009 |
| _version_ | 1818579864501878784 |
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| author | Jarocińska Anna M. Kacprzyk Monika Marcinkowska-Ochtyra Adriana Ochtyra Adrian Zagajewski Bogdan Meuleman Koen |
| author_facet | Jarocińska Anna M. Kacprzyk Monika Marcinkowska-Ochtyra Adriana Ochtyra Adrian Zagajewski Bogdan Meuleman Koen |
| author_sort | Jarocińska Anna M. |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T07:08:29Z |
| format | Article |
| id | doaj.art-0a3e95cb340f4284bacb24a2df629306 |
| institution | Directory Open Access Journal |
| issn | 2084-6118 |
| language | English |
| last_indexed | 2024-12-16T07:08:29Z |
| publishDate | 2016-03-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Miscellanea Geographica: Regional Studies on Development |
| spelling | doaj.art-0a3e95cb340f4284bacb24a2df6293062022-12-21T22:39:58ZengSciendoMiscellanea Geographica: Regional Studies on Development2084-61182016-03-01201212710.1515/mgrsd-2016-0009mgrsd-2016-0009The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze MountainsJarocińska Anna M.0Kacprzyk Monika1Marcinkowska-Ochtyra Adriana2Ochtyra Adrian3Zagajewski Bogdan4Meuleman Koen5Department of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, PolandDepartment of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, PolandDepartment of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, PolandDepartment of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, PolandDepartment of Geoinformatics, Cartography and Remote Sensing, Faculty of Geography and Regional Studies, University of Warsaw, PolandVITO – Centre for Remote Sensing and Earth Observation Processes, BelgiumInformation 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.https://doi.org/10.1515/mgrsd-2016-0009mountain meadowsvegetation conditionapexhyperspectal remote sensingvegetation indicesbiophysical parameters |
| spellingShingle | Jarocińska Anna M. Kacprzyk Monika Marcinkowska-Ochtyra Adriana Ochtyra Adrian Zagajewski Bogdan Meuleman Koen 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 mountain meadows vegetation condition apex hyperspectal remote sensing vegetation indices biophysical parameters |
| title | The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains |
| title_full | The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains |
| title_fullStr | The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains |
| title_full_unstemmed | The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains |
| title_short | The application of APEX images in the assessment of the state of non-forest vegetation in the Karkonosze Mountains |
| title_sort | application of apex images in the assessment of the state of non forest vegetation in the karkonosze mountains |
| topic | mountain meadows vegetation condition apex hyperspectal remote sensing vegetation indices biophysical parameters |
| url | https://doi.org/10.1515/mgrsd-2016-0009 |
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