Use of LANDSAT 8 images for depth and water quality assessment of El Guájaro reservoir, Colombia

González-Márquez, Luis Carlos; Torres-Bejarano, Franklin; Torregroza-Espinosa, Ana Carolina; Hansen-Rodríguez, Ivette Renée; Rodríguez-Gallegos, Hugo B.

doi:10.1016/j.jsames.2018.01.004

Cited by 37 publications

(28 citation statements)

References 23 publications

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“…In addition to that, Landsat 8 spectral images are used to confirm the improvement of the lake water quality before and during the MCO. Landsat 8 images are gaining popularity among research as an effective tool to monitor the quality of water (González-Márquez et al 2018a , b ). It can be seen from Fig.…”

Section: Resultsmentioning

confidence: 99%

Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia

Najah

Teo

Fai

et al. 2021

Int. J. Environ. Sci. Technol.

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Global concerns have been observed due to the outbreak and lockdown causal-based COVID-19, and hence, a global pandemic was announced by the World Health Organization (WHO) in January 2020. The Movement Control Order (MCO) in Malaysia acts to moderate the spread of COVID-19 through the enacted measures. Furthermore, massive industrial, agricultural activities and human encroachment were significantly reduced following the MCO guidelines. In this study, first, a reconnaissance survey was carried out on the effects of MCO on the health conditions of two urban rivers (i.e., Rivers of Klang and Penang) in Malaysia. Secondly, the effect of MCO lockdown on the water quality index (WQI) of a lake (Putrajaya Lake) in Malaysia is considered in this study. Finally, four machine learning algorithms have been investigated to predict WQI and the class in Putrajaya Lake. The main observations based on the analysis showed that noticeable enhancements of varying degrees in the WQI had occurred in the two investigated rivers. With regard to Putrajaya Lake, there is a significant increase in the WQI Class I, from 24% in February 2020 to 94% during the MCO month of March 2020. For WQI prediction, Multi-layer Perceptron (MLP) outperformed other models in predicting the changes in the index with a high level of accuracy. For sensitivity analysis results, it is shown that NH3-N and COD play vital rule and contributing significantly to predicting the class of WQI, followed by BOD, while the remaining three parameters (i.e. pH, DO, and TSS) exhibit a low level of importance.

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Section: Resultsmentioning

confidence: 99%

Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia

Najah

Teo

Fai

et al. 2021

Int. J. Environ. Sci. Technol.

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“…Recent research in many parts of the world involving water quality have made use of data from Landsat-8 (Liu, Wang, 2019, González-Márquez et al, 2018, Mushtaq, Nee Lala, 2017, Sentinel-2 (Karaoui et al, 2019, Potes et al, 2018 or both (Dutra et al, 2019, Yadav et al, 2019, Watanabe et al, 2018. Table 1 gives a list of some of these authors with the sensor they used and the parameters they analysed.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Water Quality in a Reservoir From Sentinel-2 Msi and Landsat-8 Oli Sensors

Pizani

Maillard

Ferreira

et al. 2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The low operational cost of using freely available remote sensing data is a strong incentive for water agencies to complement their field campaigns and produce spatially distributed maps of some water quality parameters. The objective of this study is to compare the performance of Sentinel-2 MSI and Landsat-8 OLI sensors to produce multiple regression models of water quality parameters in a hydroelectric reservoir in Brazil. Physical-chemistry water quality parameters were measured in loco using sensors and also analysed in laboratory from water samples collected simultaneously. The date of sampling corresponded to the almost simultaneous overflight of Sentinel-2B and Landsat-8 satellites which provided a means to perform a fair comparison of the two sensors. Four optically active parameters were considered: chlorophyll-a, Secchi disk depth, turbidity and temperature (the latter using Landsat-8 TIR sensor). Other six optically non-active parameters were also considered. The multiple regression models used the spectral reflectance bands from both sensors (separately) as predictors. The reflectance values were based on averaging kernels of 30 m and 90 m. Stepwise variable selection combined with a priori knowledge based on other studies were used to optimize the choice of predictors. With the exception of temperature, the other optically active parameters yielded strong regression models from both the Sentinel and Landsat sensors, all with r2 > 0.75. The models for the optically non-active parameters produced less striking results with r2 as low as 0.03 (temperature) and as high or better than > 0.8 (pH and Dissolved oxygen).

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“…Despite numerous studies concerning eutrophication, algae blooms and overgrowing, there is still no knowledge as to which factor determines degradation the most. It may be determined by geographical location (González-Márquez et al, 2018), natural processes , hydro-meteorological conditions (Souza et al 2018), land use and state of wastewater management in the basin (Tang et al, 2019), sediments deposition (Fuska et al, 2017), or water quality in rivers inflowing to the reservoirs (Yu et al, 2019). On the basis of the cluster analysis (CA), it was confirmed that multi-factors affecting the increased concentration of algae blooms or changes of overgrowth areas are different in each water body.…”

Section: Overall Resultsmentioning

confidence: 99%

Analysis of Degradation Processes in Reservoirs Based on Remote Sensing Data

Jaskuła¹,

Sojka²

2019

ASP.FC

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Aim of the studyThe primary objective was to assess spatio-temporal changes of the vegetation occurring in 12 reservoirs located in the Odra River basin. The analysis was made for reservoirs of different constructions, i.e. single stage, two-stage and lateral. The second purpose was to analyze possibility using remote sensing data to monitor the dynamics of the vegetation processes. Material and methodsMonitoring and mapping of spatio-temporal changes of the vegetation occurring in the reservoirs was analyzed on the basis on Sentinel-2 data. The analysis was based on the NDVI and the WAVI indices. To specify spatial changes of vegetation, the reservoirs were split into zones equals to 250 m. The statistical analysis was aimed at comparing the NDVI and the WAVI values between designated zones. In turn, Cluster analysis (CA) was used to group reservoirs into clusters on the basis of similarities between the NDVI and the WAVI values. Results and conclusionsCluster analysis (CA) showed that each reservoir is separate water body where decisive impact on degradation process could have different factor. There was observed that two-stage construction focuses degradation processes in pre-reservoir and protect water resources in the main part. Additionally, relatively new solution -lateral reservoirs seems to be alternative preventing degradation processes. Taking into account possibility of using satellite imagery, there was observed that resolutions of Sentinel-2 satellite imagery allow to monitor vegetation processes in terms of time and space. The major limitation of using remote sensing data is high cloud density, which significantly reduces the number of observations during most of the year. Jaskuła, J., . Analysis of degradation processes in reservoirs based on remote sensing data. Acta Sci. Pol., Formatio Circumiectus, 18 (2), 23-37. DOI: 24 www.formatiocircumiectus.actapol.net/pl/

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Use of LANDSAT 8 images for depth and water quality assessment of El Guájaro reservoir, Colombia

Cited by 37 publications

References 23 publications

Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia

Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia

Estimation of Water Quality in a Reservoir From Sentinel-2 Msi and Landsat-8 Oli Sensors

Analysis of Degradation Processes in Reservoirs Based on Remote Sensing Data

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