The evaluation of water pollution with the help of remote sensing tools
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The evaluation of water pollution with the help of remote sensing tools
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
The evaluation of water pollution with the help of remote sensing tools
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10500 - Earth and related environmental sciences
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. Volume 42, Issue 3/W8
ISBN
—
ISSN
1682-1750
e-ISSN
—
Počet stran výsledku
6
Strana od-do
403-408
Název nakladatele
International Society for Photogrammetry and Remote Sensing
Místo vydání
Hannover
Místo konání akce
Praha
Datum konání akce
3. 9. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—