2017
DOI: 10.1016/j.pce.2017.02.013
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Remote sensing of surface water quality in relation to catchment condition in Zimbabwe

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Cited by 39 publications
(23 citation statements)
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References 18 publications
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“…The pixel size of multispectral images predicted by the ANN will always be equal to the pixel size of the images from a low-cost sensor (spectral bands R, G, B) because these are the bands used as ANN input data. The coefficients of correlation of TSS with NDVI in our study are also higher than those in Masocha et al [ 40 ]. Our results for DOM were consistent, but we did not find any studies with which to compare our results.…”
Section: Resultscontrasting
confidence: 71%
“…The pixel size of multispectral images predicted by the ANN will always be equal to the pixel size of the images from a low-cost sensor (spectral bands R, G, B) because these are the bands used as ANN input data. The coefficients of correlation of TSS with NDVI in our study are also higher than those in Masocha et al [ 40 ]. Our results for DOM were consistent, but we did not find any studies with which to compare our results.…”
Section: Resultscontrasting
confidence: 71%
“…River catchment degradation is a key issue of concern in contemporary river basin management in tropical systems. This degradation is driven by increasing population pressures, which place a heavy burden on natural resources [30]. Therefore, water quality management in river systems is critical towards controlling river pollution in which land use is a critical component of water quality in river basins [31].…”
Section: Water Qualitymentioning
confidence: 99%
“…There are also many studies that uses hyperspectral images, in situ measurements, thermal images or geographic information systems were used to determine water quality in remote sensing [4,5,6,7]. The criteria examined in these studies can be described as turbidity, amount of suspended matter, content of chlorophyll, temperature, amount of organic and inorganic substances [8][9][10][11][12][13][14][15][16][17][18][19].…”
Section: Su Kalitesinin Sınıflandırılmasında Spektral Sınıflandırma Ymentioning
confidence: 99%