ArticleInternational journal of environmental research and public health2015
Estimation of Chlorophyll-a Concentration and the Trophic State of the Barra Bonita Hydroelectric Reservoir Using OLI/Landsat-8 Images.
Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
- The promise and pitfalls of monitoring harmful algal blooms (HABs) with remote sensing in pond-sized waterbodies.Environmental science and pollution research international · 2026Article
- Spatiotemporal modelling and monitoring of harmful algal blooms using IoT in Lake Victoria Basin Kenya.Scientific reports · 2025Article
- Harmful algal blooms in inland waters.Nature reviews. Earth & environment · 2024Article
- Chlorophyll-a unveiled: unlocking reservoir insights through remote sensing in a subtropical reservoir.Environmental monitoring and assessment · 2024Article
- UAV and satellite remote sensing for inland water quality assessments: a literature review.Environmental monitoring and assessment · 2024Review
- Retrieving Inland Reservoir Water Quality Parameters Using Landsat 8-9 OLI and Sentinel-2 MSI Sensors with Empirical Multivariate Regression.International journal of environmental research and public health · 2022Article
- Integration of Remote Sensing and Mexican Water Quality Monitoring System Using an Extreme Learning Machine.Sensors (Basel, Switzerland) · 2021Article
- Mapping spatio-temporal dynamics of main water parameters and understanding their relationships with driving factors using GF-1 images in a clear reservoir.Environmental science and pollution research international · 2020Article
- Estimation of chlorophyll-a Concentration of lakes based on SVM algorithm and Landsat 8 OLI images.Environmental science and pollution research international · 2020Article
- Article
- Applications of Space Technologies to Global Health: Scoping Review.Journal of medical Internet research · 2018Article
- Predictive performance of regression models to estimate Chlorophyll-a concentration based on Landsat imagery.PloS one · 2018Article
- Validating chlorophyll-MethodsX · 2018Article
- Spatiotemporal dynamics of chlorophyll-a in a large reservoir as derived from Landsat 8 OLI data: understanding its driving and restrictive factors.Environmental science and pollution research international · 2018Article
- Assessment of Chlorophyll-a Algorithms Considering Different Trophic Statuses and Optimal Bands.Sensors (Basel, Switzerland) · 2017Article
- Kinetics and Mechanisms of Phosphorus Adsorption in Soils from Diverse Ecological Zones in the Source Area of a Drinking-Water Reservoir.International journal of environmental research and public health · 2015Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Reservoirs are artificial environments built by humans, and the impacts of these environments are not completely known. Retention time and high nutrient availability in the water increases the eutrophic level. Eutrophication is directly correlated to primary productivity by phytoplankton. These organisms have an important role in the environment. However, high concentrations of determined species can lead to public health problems. Species of cyanobacteria produce toxins that in determined concentrations can cause serious diseases in the liver and nervous system, which could lead to death. Phytoplankton has photoactive pigments that can be used to identify these toxins. Thus, remote sensing data is a viable alternative for mapping these pigments, and consequently, the trophic. Chlorophyll-a (Chl-a) is present in all phytoplankton species. Therefore, the aim of this work was to evaluate the performance of images of the sensor Operational Land Imager (OLI) onboard the Landsat-8 satellite in determining Chl-a concentrations and estimating the trophic level in a tropical reservoir. Empirical models were fitted using data from two field surveys conducted in May and October 2014 (Austral Autumn and Austral Spring, respectively). Models were applied in a temporal series of OLI images from May 2013 to October 2014. The estimated Chl-a concentration was used to classify the trophic level from a trophic state index that adopted the concentration of this pigment-like parameter. The models of Chl-a concentration showed reasonable results, but their performance was likely impaired by the atmospheric correction. Consequently, the trophic level classification also did not obtain better results.
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