Applying Spectral Unmixing to Determine Surface Water Parameters in a Mining Environment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F14%3A10293500" target="_blank" >RIV/00216208:11310/14:10293500 - isvavai.cz</a>

Alternative codes found

RIV/00025798:_____/14:00000249

Result on the web

<a href="http://dx.doi.org/10.3390/rs61111204" target="_blank" >http://dx.doi.org/10.3390/rs61111204</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs61111204" target="_blank" >10.3390/rs61111204</a>

Result language

angličtina

Original language name

Applying Spectral Unmixing to Determine Surface Water Parameters in a Mining Environment

Original language description

Compared to natural waters, mine waters represent an extreme water type that is frequently heavily polluted. Although they have been traditionally monitored by in situ measurements of point samples taken at regular intervals, the emergence of a new generation of multispectral and hyperspectral (HS) sensors means that image spectroscopy has the potential to become a modern method for monitoring polluted surface waters. This paper describes an approach employing linear Spectral Unmixing (LSU) for analysisof hyperspectral image data to map the relative abundances of mine water components (dissolved Fe-Fediss, dissolved organic carbon-DOC, undissolved particles). The ground truth data (8 monitored ponds) were used to validate the results of spectral mapping. The same approach applied to HS data was tested using the image data resampled to WorldView2 (WV2) spectral resolution. A key aspect of the image data processing was to define the proper pure image end members for the fundamental wate

Czech name

—

Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

DJ - Pollution and water control

OECD FORD branch

—

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2014

Confidentiality

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

Name of the periodical

Remote Sensing

ISSN

2072-4292

e-ISSN

—

Volume of the periodical

6

Issue of the periodical within the volume

11

Country of publishing house

CH - SWITZERLAND

Number of pages

21

Pages from-to

11204-11224

UT code for WoS article

000345530700043

EID of the result in the Scopus database

2-s2.0-84912076874