| Attributes | Values |
|---|
| rdf:type
| |
| Description
| - tThe pH is one of the major chemical parameters affecting the results of remediation programs carried outat abandoned mines and dumps and one of the major parameters controlling heavy metal mobilizationand speciation. This study is concerned with testing the feasibility of estimating surface pH on the basisof airborne hyperspectral (HS) data (HyMap). The work was carried on the Sokolov lignite mine, asit represents a site with extreme material heterogeneity and high pH gradients. First, a geochemicalconceptual model of the site was defined. The multi range spectralfeature fitting (MRSFF) technique was employed to map the defined end-members indicating certain pHranges in the HS image datasets. This technique was found to be sensitive enough to assess differencesin the desired spectral parameters (e.g., absorption shape, depth and indirectly maximum absorptionwavelength position). Furthermore, the regression model using the fit images, the results of MRSFF, asinputs was constructed (R2= 0.61, Rv2= 0.76) to estimate the surface pH. This study represents one of thefew approaches employing image spectroscopy for quantitative pH modeling in a mining environmentand the achieved results demonstrate the potential application of hyperspectral remote sensing as anefficient method for environmental monitoring.
- tThe pH is one of the major chemical parameters affecting the results of remediation programs carried outat abandoned mines and dumps and one of the major parameters controlling heavy metal mobilizationand speciation. This study is concerned with testing the feasibility of estimating surface pH on the basisof airborne hyperspectral (HS) data (HyMap). The work was carried on the Sokolov lignite mine, asit represents a site with extreme material heterogeneity and high pH gradients. First, a geochemicalconceptual model of the site was defined. The multi range spectralfeature fitting (MRSFF) technique was employed to map the defined end-members indicating certain pHranges in the HS image datasets. This technique was found to be sensitive enough to assess differencesin the desired spectral parameters (e.g., absorption shape, depth and indirectly maximum absorptionwavelength position). Furthermore, the regression model using the fit images, the results of MRSFF, asinputs was constructed (R2= 0.61, Rv2= 0.76) to estimate the surface pH. This study represents one of thefew approaches employing image spectroscopy for quantitative pH modeling in a mining environmentand the achieved results demonstrate the potential application of hyperspectral remote sensing as anefficient method for environmental monitoring. (en)
|
| Title
| - Using multiple spectral feature analysis for quantitative pH mapping in a mining environment
- Using multiple spectral feature analysis for quantitative pH mapping in a mining environment (en)
|
| skos:prefLabel
| - Using multiple spectral feature analysis for quantitative pH mapping in a mining environment
- Using multiple spectral feature analysis for quantitative pH mapping in a mining environment (en)
|
| skos:notation
| - RIV/00025798:_____/14:00000043!RIV15-GA0-00025798
|
| http://linked.open...avai/riv/aktivita
| |
| http://linked.open...avai/riv/aktivity
| - P(7E10042), P(GA205/09/1989)
|
| http://linked.open...iv/cisloPeriodika
| |
| http://linked.open...vai/riv/dodaniDat
| |
| http://linked.open...aciTvurceVysledku
| |
| http://linked.open.../riv/druhVysledku
| |
| http://linked.open...iv/duvernostUdaju
| |
| http://linked.open...titaPredkladatele
| |
| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/00025798:_____/14:00000043
|
| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - Acid mine drainage (AMD),pH modeling, Mineral spectroscopy, Mining impacts, Environmental monitoring, Multiple spectral feature fitting (en)
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| http://linked.open.../riv/klicoveSlovo
| |
| http://linked.open...odStatuVydavatele
| |
| http://linked.open...ontrolniKodProRIV
| |
| http://linked.open...i/riv/nazevZdroje
| - International Journal of Applied Earth Observation and Geoinformation
|
| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
| |
| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...vavai/riv/projekt
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...v/svazekPeriodika
| |
| http://linked.open...iv/tvurceVysledku
| |
| http://linked.open...ain/vavai/riv/wos
| |
| issn
| |
| number of pages
| |
| http://bibframe.org/vocab/doi
| - 10.1016/j.jag.2013.10.008
|
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