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Statements

Subject Item
n2:RIV%2F00025798%3A_____%2F14%3A00000036%21RIV15-GA0-00025798
rdf:type
skos:Concept n20:Vysledek
rdfs:seeAlso
http://eproceedings.org/static/vol13_S1/13_S1_kopackova1.html
dcterms:description
Water has been traditionally monitored by in situ measurements taking point samples at regular intervals. From an optical perspective, in addition to pure water itself, the optical properties of surface waters are mainly influenced by three constituents: phytoplankton, suspended sediment, and coloured dissolved organic matter (CDOM). Although imaging spectroscopy can serve as a modern method to monitor polluted surface waters, only a limited number of studies have been published on this topic. In our study, we tested the feasibility of mapping the properties of surface waters affected by long-term mining activities using airborne multi-flight-line HyMap hyperspectral (HS) datasets. An approach using fundamental water image end-members to map relative abundances of selected parameters of surface waters (dissolved Fe, dissolved organic carbon DOC, non-dissolved particles) was tested and ground truth (eight monitored ponds) was then used to validate the results of spectral mapping. Although the detected end-members did not implicitly have to be absolutely pure, they represented the most extreme water types within the studied area. Correlations between the studied water parameters and three fractional images were detected (dissolved Fe: R²=0.74, undissolved particles: R²=0.57, DOC: R²=0.42); these images were further used to create semi-automatic maps. Water has been traditionally monitored by in situ measurements taking point samples at regular intervals. From an optical perspective, in addition to pure water itself, the optical properties of surface waters are mainly influenced by three constituents: phytoplankton, suspended sediment, and coloured dissolved organic matter (CDOM). Although imaging spectroscopy can serve as a modern method to monitor polluted surface waters, only a limited number of studies have been published on this topic. In our study, we tested the feasibility of mapping the properties of surface waters affected by long-term mining activities using airborne multi-flight-line HyMap hyperspectral (HS) datasets. An approach using fundamental water image end-members to map relative abundances of selected parameters of surface waters (dissolved Fe, dissolved organic carbon DOC, non-dissolved particles) was tested and ground truth (eight monitored ponds) was then used to validate the results of spectral mapping. Although the detected end-members did not implicitly have to be absolutely pure, they represented the most extreme water types within the studied area. Correlations between the studied water parameters and three fractional images were detected (dissolved Fe: R²=0.74, undissolved particles: R²=0.57, DOC: R²=0.42); these images were further used to create semi-automatic maps.
dcterms:title
APPLYING SPECTRAL UNMIXING TO DETERMINE SURFACE WATER PARAMETERS IN MINING ENVIRONMENT APPLYING SPECTRAL UNMIXING TO DETERMINE SURFACE WATER PARAMETERS IN MINING ENVIRONMENT
skos:prefLabel
APPLYING SPECTRAL UNMIXING TO DETERMINE SURFACE WATER PARAMETERS IN MINING ENVIRONMENT APPLYING SPECTRAL UNMIXING TO DETERMINE SURFACE WATER PARAMETERS IN MINING ENVIRONMENT
skos:notation
RIV/00025798:_____/14:00000036!RIV15-GA0-00025798
n3:aktivita
n8:P
n3:aktivity
P(GA205/09/1989), P(LH13266)
n3:dodaniDat
n4:2015
n3:domaciTvurceVysledku
n19:2361825
n3:druhVysledku
n13:D
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
3897
n3:idVysledku
RIV/00025798:_____/14:00000036
n3:jazykVysledku
n11:eng
n3:klicovaSlova
mine water, pollution, imaging spectroscopy, linear unmixxing, modeling
n3:klicoveSlovo
n15:mine%20water n15:imaging%20spectroscopy n15:linear%20unmixxing n15:pollution n15:modeling
n3:kontrolniKodProRIV
[060A6F150234]
n3:mistoKonaniAkce
Varšava
n3:mistoVydani
Neuveden
n3:nazevZdroje
EARSeL eProceedings Special Issue: 34th EARSeL Symposium, 2014
n3:obor
n5:DB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n7:GA205%2F09%2F1989 n7:LH13266
n3:rokUplatneniVysledku
n4:2014
n3:tvurceVysledku
Hladíková, Lenka Kopačková, Veronika
n3:typAkce
n18:WRD
n3:zahajeniAkce
2014-01-01+01:00
s:issn
1729-3782
s:numberOfPages
6
n16:doi
10.12760/02-2014-1-08
n21:hasPublisher
European Association of Remote Sensing Laboratories