Using multiple spectral feature analysis for quantitative pH mapping in a mining environment

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F14%3A00000043" target="_blank" >RIV/00025798:_____/14:00000043 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11310/14:10293746

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.jag.2013.10.008" target="_blank" >http://dx.doi.org/10.1016/j.jag.2013.10.008</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jag.2013.10.008" target="_blank" >10.1016/j.jag.2013.10.008</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using multiple spectral feature analysis for quantitative pH mapping in a mining environment

Popis výsledku v původním jazyce

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 testingthe 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=

Název v anglickém jazyce

Using multiple spectral feature analysis for quantitative pH mapping in a mining environment

Popis výsledku anglicky

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 testingthe 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=

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DB - Geologie a mineralogie

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Applied Earth Observation and Geoinformation

ISSN

0303-2434

e-ISSN

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Svazek periodika

28

Číslo periodika v rámci svazku

May

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

15

Strana od-do

28-42

Kód UT WoS článku

000332429000004

EID výsledku v databázi Scopus

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