Water Quality and Chlorophyll Measurement Through Vegetation Indices Generated from Orbital and Suborbital Images

Cândido, Anny Keli Aparecida Alves; Filho, Antônio Conceição Paranhos; Haupenthal, Marcelo Ricardo; Silva, Normandes Matos da; Correa, Jonas de Sousa; Ribeiro, Maria Lúcia

doi:10.1007/s11270-016-2919-7

Cited by 13 publications

(8 citation statements)

References 12 publications

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“…UAVs have been used to monitor the concentration of chlorophyll-a [ 17 , 18 , 19 ] and aquatic vegetation [ 20 , 21 ], spatialize suspended sediments [ 1 ], conduct environmental inspections [ 22 ], study flood events [ 23 ], conduct morphological and hydraulic characterizations [ 24 ], and monitor water pollution [ 25 ]. However, few studies have focused on determining the spectral behavior of water bodies using UAVs to estimate the concentration of multiple OACs.…”

Section: Introductionmentioning

confidence: 99%

Proposal of a Method to Determine the Correlation between Total Suspended Solids and Dissolved Organic Matter in Water Bodies from Spectral Imaging and Artificial Neural Networks

Veronez

Kupssinskü

Guimarães

et al. 2018

Sensors

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Water quality monitoring through remote sensing with UAVs is best conducted using multispectral sensors; however, these sensors are expensive. We aimed to predict multispectral bands from a low-cost sensor (R, G, B bands) using artificial neural networks (ANN). We studied a lake located on the campus of Unisinos University, Brazil, using a low-cost sensor mounted on a UAV. Simultaneously, we collected water samples during the UAV flight to determine total suspended solids (TSS) and dissolved organic matter (DOM). We correlated the three bands predicted with TSS and DOM. The results show that the ANN validation process predicted the three bands of the multispectral sensor using the three bands of the low-cost sensor with a low average error of 19%. The correlations with TSS and DOM resulted in R2 values of greater than 0.60, consistent with literature values.

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Section: Introductionmentioning

confidence: 99%

Proposal of a Method to Determine the Correlation between Total Suspended Solids and Dissolved Organic Matter in Water Bodies from Spectral Imaging and Artificial Neural Networks

Veronez

Kupssinskü

Guimarães

et al. 2018

Sensors

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“…The analysis of information on the intensity of component colors from digital photography in graphic software allows the calculation of coefficients allowing the assessment of chlorophyll concentration in surface waters. Initial research using photographs taken with the help of a digital camera placed on a mobile unmanned flying platform indicates the high potential of this solution in the monitoring of inland surface waters [14]. The possibility of assessing the chlorophyll concentration on the basis of the analysis of the spectral characteristics of light reflected from the water surface is also confirmed by preliminary tests carried out with the aid of the presented measuring apparatus.…”

Section: Phytoplankton and Coastal Plantsmentioning

confidence: 72%

Possibilities of surface waters monitoring at mining areas using UAV

Lisiecka

Motyka

et al. 2018

E3S Web of Conf.

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The selected, remote measurement methods are discussed, useful for determining surface water properties using mobile unmanned aerial platforms (UAV). The possibilities of using this type of solutions in the scope of measuring spatial, physicochemical and biological parameters of both natural and anthropogenic water reservoirs, including flood polders, water-filled pits, settling tanks and mining sinks were analyzed. Methods of remote identification of the process of overgrowing this type of ecosystems with water and coastal plant formations have also been proposed.

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“…In the last few years, we have seen a massive expansion of UAVs. UAVs are most often used in conjunction with multispectral cameras (Guimarães et al 2017;Zhang et al 2019), but there are approaches using only RGB cameras for monitoring water quality (Cândido et al 2016).…”

Section: General Instructionsmentioning

confidence: 99%

“…At the end of the statistical evaluation, it was verified with the help of the Mann -Whitney test, that the calculated chlorophyll values are comparable with the recorded values. Cândido et al (2016) suggested that the use of UAV and RGB vegetation indices have good results for monitoring small water bodies. This case study demonstrates that using RGB vegetation indices is efficient and it´s possible to use it for estimate the chlorophyll.…”

Section: Vegetation Indexmentioning

confidence: 99%

The Evaluation of Water Pollution With the Help of Remote Sensing Tools

Sadek

Struhár

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> 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.</p>

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Water Quality and Chlorophyll Measurement Through Vegetation Indices Generated from Orbital and Suborbital Images

Cited by 13 publications

References 12 publications

Proposal of a Method to Determine the Correlation between Total Suspended Solids and Dissolved Organic Matter in Water Bodies from Spectral Imaging and Artificial Neural Networks

Proposal of a Method to Determine the Correlation between Total Suspended Solids and Dissolved Organic Matter in Water Bodies from Spectral Imaging and Artificial Neural Networks

Possibilities of surface waters monitoring at mining areas using UAV

The Evaluation of Water Pollution With the Help of Remote Sensing Tools

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