Laboratory and image spectroscopy for evaluating the biophysical state of meadow vegetation in the Krkonoše National Park

Jelének, Jan; Kupková, Lucie; Zagajewski, Bogdan; Březina, Stanislav; Ochytra, Adrian; Marcinkowska, Adriana

doi:10.2478/mgrsd-2014-0014

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…In particular, invasive species such as Rumex alpinus L. or Lupinus polyphyllus L. are taller with a bigger biomass. This was confirmed by a previous study of the condition of invasive plants in the Czech Krkonoše, using in-situ measurements of the fAPAR and Leaf Area Index (LAI) parameters and comparing them to APEX imagery (Jelének et al 2014). For synanthropic communities, the values of vegetation indices are more diverse.…”

Section: Results and Conclusionsupporting

confidence: 74%

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

Jarocińska

Kacprzyk

Marcinkowska-Ochtyra

et al. 2016

Miscellanea Geographica

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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.

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Section: Results and Conclusionsupporting

confidence: 74%

“…This area has been analysed using APEX images to classify the different vegetation communities in the Karkonosze Mountains (Marcinkowska et al 2014), as well as in vegetation modelling (Jarocińska et al 2014a) and plant condition analysis (Jelének et al 2014).…”

Section: Introduction and Motivationsmentioning

confidence: 99%

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

Jarocińska

Kacprzyk

Marcinkowska-Ochtyra

et al. 2016

Miscellanea Geographica

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“…APEX is the Swiss-Belgian dispersive push broom imaging spectroradiometer, operating between 380 and 2500 nm in 288 bands (bandwidths of about 5 nm in the visible and nearinfrared (VNIR) and 10 nm in the shortwave infrared (SWIR)) with a spatial ground resolution ranging from 1.75 to 3 m depending on the flying altitude (Itten et al 2008;Vreys, Iordache, and Meuleman 2014). The spectroradiometer was installed on board a Dornier 228 aircraft operated by DLR (the German Aerospace Center), and the flight campaign covered the whole area of the Karkonosze Mountains within both the National Park borders and their surroundings (Jelének et al 2014). Data were acquired on 10 September 2012, in the framework of the European Facility for Airborne Research (EUFAR) project entitled Hyperspectral Remote Sensing for Mountains Ecosystems (HyMountEcos) that involved scientists from the Polish University of Warsaw and the Czech Charles University of Prague.…”

Section: Image Datamentioning

confidence: 99%

Subalpine and alpine vegetation classification based on hyperspectral APEX and simulated EnMAP images

Marcinkowska-Ochtyra

Zagajewski

Ochtyra

et al. 2017

International Journal of Remote Sensing

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The characterization of vegetation is a very important ecological task, especially in sensitive mountain areas, as alpine regions often respond to small short-term variations of abiotic and biotic components as well as long-term global changes. Spatial techniques, such as imaging spectroscopy, allow for detailed classification of different syntaxonomic categories of vegetation and their status. Based on the Airborne Prism Experiment (APEX) and simulated Environmental Mapping and Analysis Program (EnMAP) data, this study focused on subalpine and alpine vegetation mapping in the eastern part of the Polish Karkonosze National Park (KPN). The spatial resolution of APEX (3.12 m) enabled the classification of 21 vegetation communities, which was generalized into eight vegetation types. These types were identified on scaled-up APEX data, as both 252 bands from most of the spectral range and a spectrally reduced dataset of 30 minimum noise fraction (MNF) transforms, and compared to the simulated (30 m spatial resolution) EnMAP data using test areas extracted from the field survey derived reference non-forest vegetation map. After preprocessing, a pixel purity index (PPI) was calculated using the MNF image and then the training and validation pixels were selected with Support Vector Machine classification of vegetation communities carried out using different kernel functions: linear, polynomial, radial basis function, and sigmoid. The classification accuracy was obtained for 21 base classes, and the best result was achieved by using the linear function and 252 bands (overall accuracy (OA) of 74.39%). The next step was to classify the eight generalized vegetation types, and the OA for the APEX data reached 90.72% while EnMAP reached 78.25%. The results show the potential use of APEX and EnMAP imagery in mapping subalpine and alpine vegetation on a community and vegetation-type scales, within a diverse ecosystem such as the Karkonosze National Park. ARTICLE HISTORY

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“…In Czech Republic the relationships between fAPAR resp. LAI of meadow vegetation and selected invasive species and their spectral properties (vegetation indices) were examined by Jelének et al (2014).…”

Section: Introductionmentioning

confidence: 99%

Field Spectroscopy for Vegetation Evaluation Along the Nutrient and Elevation Gradient Above the Tree Line in the Krkonoše Mountains National Park

Červená¹,

Kupková²,

Suchá³

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper examines the relations between vegetation spectra measured in the field along the nutrient and elevation gradient in the most valuable parts of The Krkonoše Mountains tundra and selected parameters describing vegetation state and condition (fAPAR, plant cover and average vegetation height). The main goal was to find relations and indices based on spectral measurements that could be used for vegetation evaluation and classification in practice and management. The vegetation parameters and spectral properties were also compared for two datasets -one acquired in July and second in August 2015. The best correlations were obtained for plant cover (R 2 above 0.8 for July dataset and above 0.7 for August dataset) and two types of indices -using the wavelengths of red edge, e.g. OSAVI or mND705, and indices for vegetation water content estimates using the wavelengths in shortwave infrared region of the spectra in combination with wavelengths above 800 nm, e. g. NDII. The worst results were found for fAPAR with maximal values of R 2 just above 0.4 with the indices using the wavelengths around 700 nm. For vegetation height the results differ between July and August data -R 2 around 0.62 in July and only 0.47 in August for vegetation indices using the wavelengths of visible and red edge regions.

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Laboratory and image spectroscopy for evaluating the biophysical state of meadow vegetation in the Krkonoše National Park

Cited by 5 publications

References 22 publications

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

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

Subalpine and alpine vegetation classification based on hyperspectral APEX and simulated EnMAP images

Field Spectroscopy for Vegetation Evaluation Along the Nutrient and Elevation Gradient Above the Tree Line in the Krkonoše Mountains National Park

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