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Statements

Subject Item
n2:RIV%2F00216208%3A11310%2F14%3A10291750%21RIV15-MSM-11310___
rdf:type
skos:Concept n16:Vysledek
dcterms:description
This research aims to discover the potential of hyperspectral remote sensing data for mapping mountain vegetation ecosystems. First, the importance of mountain ecosystems to the global system should be stressed due to mountainous ecosystems forming a very sensitive indicator of global climate change. Furthermore, a variety of biotic and abiotic factors influence the spatial distribution of vegetation in the mountains, producing a diverse mosaic leading to high biodiversity. The research area covers the Szrenica Mount region on the border between Poland and the Czech Republic - the most important part of the Western Karkonosze and one of the main areas in the Karkonosze National Park (M&B Reserve of the UNESCO).The APEX hyperspectral data that was classified in this study was acquired on 10th September 2012 by the German Aerospace Center (DLR) in the framework of the EUFAR HyMountEcos project. This airborne scanner is a 288-channel imaging spectrometer operating in the wavelength range 0.4-2.5 μm. For reference patterns of forest and non-forest vegetation, maps (provided by the Polish Karkonosze National Park) were chosen. Terrain recognition was based on field walks with a Trimble GeoXT GPS receiver. It allowed test and validation dominant polygons of 15 classes of vegetation communities to be selected, which were used in the Support Vector Machines (SVM) classification. This research aims to discover the potential of hyperspectral remote sensing data for mapping mountain vegetation ecosystems. First, the importance of mountain ecosystems to the global system should be stressed due to mountainous ecosystems forming a very sensitive indicator of global climate change. Furthermore, a variety of biotic and abiotic factors influence the spatial distribution of vegetation in the mountains, producing a diverse mosaic leading to high biodiversity. The research area covers the Szrenica Mount region on the border between Poland and the Czech Republic - the most important part of the Western Karkonosze and one of the main areas in the Karkonosze National Park (M&B Reserve of the UNESCO).The APEX hyperspectral data that was classified in this study was acquired on 10th September 2012 by the German Aerospace Center (DLR) in the framework of the EUFAR HyMountEcos project. This airborne scanner is a 288-channel imaging spectrometer operating in the wavelength range 0.4-2.5 μm. For reference patterns of forest and non-forest vegetation, maps (provided by the Polish Karkonosze National Park) were chosen. Terrain recognition was based on field walks with a Trimble GeoXT GPS receiver. It allowed test and validation dominant polygons of 15 classes of vegetation communities to be selected, which were used in the Support Vector Machines (SVM) classification.
dcterms:title
Mapping vegetation communities of the Karkonosze National Park using APEX hyperspectral data and Support Vector Machines Mapping vegetation communities of the Karkonosze National Park using APEX hyperspectral data and Support Vector Machines
skos:prefLabel
Mapping vegetation communities of the Karkonosze National Park using APEX hyperspectral data and Support Vector Machines Mapping vegetation communities of the Karkonosze National Park using APEX hyperspectral data and Support Vector Machines
skos:notation
RIV/00216208:11310/14:10291750!RIV15-MSM-11310___
n3:aktivita
n4:P n4:I
n3:aktivity
I, P(GA13-16084S)
n3:cisloPeriodika
2
n3:dodaniDat
n12:2015
n3:domaciTvurceVysledku
n6:9812733 n6:1278665
n3:druhVysledku
n17:J
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
27377
n3:idVysledku
RIV/00216208:11310/14:10291750
n3:jazykVysledku
n15:eng
n3:klicovaSlova
vegetation communities; mapping/ classification; Karkonosze National Park; APEX; Hyperspectral data
n3:klicoveSlovo
n8:mapping%2F%20classification n8:Karkonosze%20National%20Park n8:vegetation%20communities n8:Hyperspectral%20data n8:APEX
n3:kodStatuVydavatele
PL - Polská republika
n3:kontrolniKodProRIV
[14B36158A512]
n3:nazevZdroje
MISCELLANEA GEOGRAPHICA - REGIONAL STUDIES ON DEVELOPMENT
n3:obor
n19:DE
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
8
n3:projekt
n18:GA13-16084S
n3:rokUplatneniVysledku
n12:2014
n3:svazekPeriodika
18
n3:tvurceVysledku
Štych, Přemysl Jarocińska, Anna Zagajewski, Bogdan Kupková, Lucie Marcinkowska, Adriana Edwin Raczko, Raczko Ochtyra, Adrian Meuleman, Koen
s:issn
2084-6118
s:numberOfPages
6
n13:doi
10.2478/mgrsd-2014-0007
n9:organizacniJednotka
11310