The evaluation of water pollution with the help of remote sensing tools

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F19%3A10243363" target="_blank" >RIV/61989100:27350/19:10243363 - isvavai.cz</a>
Result on the web
<a href="https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/403/2019/" target="_blank" >https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/403/2019/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/isprs-archives-XLII-3-W8-403-2019" target="_blank" >10.5194/isprs-archives-XLII-3-W8-403-2019</a>

Result language
angličtina
Original language name
The evaluation of water pollution with the help of remote sensing tools
Original language description
With the growing population, there is a growing demand for quality drinking water. Especially in developing parts of the world, this is a serious problem. The aim of this work is to test remote sensing methods for water quality monitoring. The presented part of the project is focused on introducing the process of water pollution assessment using vegetation indices, which are derived only using RGB images. Water quality monitoring is based on satellite imagery Landsat 8 and UAV images Phantom 3. As reference data was used in-site measurements in profiles points. In-site measurements were repeated every month in the vegetation period from April to September. Based on regression analysis, the equation for the calculation of the amount of chlorophyll and the statistical evaluation of the quality of these equations is derived for each vegetation index. The best results were achieved using the ratio aquatic vegetation index (RAVI) and ExG (Excess green) indices of 97% and 96.8% respectively. (C) 2019 International Society for Photogrammetry and Remote Sensing.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. Volume 42, Issue 3/W8
ISBN
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ISSN
1682-1750
e-ISSN
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Number of pages
6
Pages from-to
403-408
Publisher name
International Society for Photogrammetry and Remote Sensing
Place of publication
Hannover
Event location
Praha
Event date
Sep 3, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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