2020
DOI: 10.1016/j.ecoinf.2020.101131
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A novel method based on time series satellite data analysis to detect algal blooms

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Cited by 25 publications
(10 citation statements)
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References 34 publications
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“…Dates that present pixels with clouds over the reservoir were removed using the quality flag information in MOD09GQ. In order to avoid land effects, for each evaluated date an NDVI average value was calculated among pixels located further than 250 m from the shore of the reservoir (Germán et al, 2020).…”
Section: Ndvi Time-series Evaluationmentioning
confidence: 99%
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“…Dates that present pixels with clouds over the reservoir were removed using the quality flag information in MOD09GQ. In order to avoid land effects, for each evaluated date an NDVI average value was calculated among pixels located further than 250 m from the shore of the reservoir (Germán et al, 2020).…”
Section: Ndvi Time-series Evaluationmentioning
confidence: 99%
“…NDVI ranges from -1 to +1. Negative values usually indicate pure water pixels and positive values are strongly correlated with the greenness of the water due to the presence of photosynthetic organisms such as algae (Germán et al, 2020). Values equal or greater than 0.1 can be interpreted as algal scums or blooms (Kiage and Douglas, 2020).…”
Section: Ndvi Time-series Evaluationmentioning
confidence: 99%
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“…This low value of the Chl-a determination coefficient is due to the fact that this band does not reflect the correct wavelength for this photosynthetic pigment. Despite this, numerous studies [62,63] Chl-a may not be the only photosynthetic pigment that indicates the presence of cyanobacteria in lakes and reservoirs, so in-depth analysis of other pigments that form these cells is needed. This will facilitate the analysis of satellite images and help discern aquatic phytoplankton.…”
Section: Sentinel-2 Spectral Band Performancementioning
confidence: 99%