2020
DOI: 10.3390/w12010169
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Research Trends in the Use of Remote Sensing for Inland Water Quality Science: Moving Towards Multidisciplinary Applications

Abstract: Remote sensing approaches to measuring inland water quality date back nearly 50 years to the beginning of the satellite era. Over this time span, hundreds of peer-reviewed publications have demonstrated promising remote sensing models to estimate biological, chemical, and physical properties of inland waterbodies. Until recently, most of these publications focused largely on algorithm development as opposed to implementation of those algorithms to address specific science questions. This slow evolution contras… Show more

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Cited by 215 publications
(151 citation statements)
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References 237 publications
(252 reference statements)
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“…These advances improved L8′s pigment discrimination ability. Though built for terrestrial applications, these bands have proven useful for estimating concentrations of Chl a in water bodies [55,56]. In this study, we selected available OLI/L8 images with no cloud cover.…”
Section: Landsatmentioning
confidence: 99%
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“…These advances improved L8′s pigment discrimination ability. Though built for terrestrial applications, these bands have proven useful for estimating concentrations of Chl a in water bodies [55,56]. In this study, we selected available OLI/L8 images with no cloud cover.…”
Section: Landsatmentioning
confidence: 99%
“…This makes controlling these atmospheric effects a major challenge when dealing with remote sensing of inland water bodies. An accurate estimation of any water quality parameter requires atmospheric correction (AC) for any given atmospheric effects [56]. As such, before image processing in this study, rigorous AC was conducted across all the images.…”
Section: Satellite Data Preprocessingmentioning
confidence: 99%
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“…According to the in situ water quality measurements, the regression-based models estimated water quality maps effectively [9]. The water quality models identified the relationship between the dependent variables, e.g., Chla and the explanatory variables, e.g., band ratios from remote sensing reflectance data [10].…”
Section: Introductionmentioning
confidence: 99%
“…Examples of the modern tools include meters and sensors which are used to regulate water distribution systems such as flow and water quality (Ahmed et al, 2014). In terms of communication infrastructure, ICTS has enabled water utility networks to have monitoring systems that automatically detect leakages (Yazdekhasti et al, 2020), predict demand for water (Lee and Derrible, 2020), monitor water quality (Topp et al, 2020) and implement billing (Yazdekhasti et al, 2020).…”
Section: Use Of Icts In Agriculturementioning
confidence: 99%