A novel approach for surface water quality modelling based on Landsat-8 tasselled cap transformation

Updating the physicochemical properties of surface water is important to water quality researchers and decision-makers. Routine surface water quality monitoring methods are inadequate; whereas, remote sensing (RS) is a source of processing data in both spatial and temporal domains. However, RS is a...

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Bibliographic Details
Published in:International journal of remote sensing 2020-09, Vol.41 (18), p.7186-7201
Main Author: Sharaf El Din, Essam
Format: Article
Language:English
Subjects:
Data processing
Decision making
Ecological monitoring
Environmental monitoring
Freshwater
Freshwater ecosystems
Image quality
Imagery
In situ measurement
Inland water environment
Landsat
Landsat satellites
Landsat-8
Modelling
Monitoring methods
Physicochemical processes
Physicochemical properties
Quality assessment
Redundancy
Remote monitoring
Remote sensing
Satellite imagery
Satellites
Solid suspensions
Spaceborne remote sensing
Spatial data
Stability
Surface water
Surface water quality
Suspended particulate matter
tasseled cap transformation
Total suspended solids
Turbidity
Water quality
Water quality assessments
Water quality management
Water quality monitoring
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Summary:Updating the physicochemical properties of surface water is important to water quality researchers and decision-makers. Routine surface water quality monitoring methods are inadequate; whereas, remote sensing (RS) is a source of processing data in both spatial and temporal domains. However, RS is a good tool of monitoring freshwater ecosystems, accurate modelling of surface water quality parameters from satellite imagery is still a challenging task. High correlation between the adjacent satellite signals, which creates redundancy, is one of the main challenges that negatively affect the stability of the developed models. Therefore, this paper focuses on the development of a novel approach for modelling concentrations of both turbidity (T) and total suspended solids (TSS) using Landsat-8 tasselled cap transformation (TCT). As a result, robust models were developed between measurements from satellite-derived T and TSS and in situ measurements with coefficient of determination values of 0.854 and 0.812, respectively. These findings confirmed the possibility of using TCT to establish strong models for assessing surface water quality due to its capability of transforming a set of correlated data onto a convenient set of uncorrelated data, which maintain the major information associated with a physical phenomenon.
ISSN:0143-1161
1366-5901
DOI:10.1080/01431161.2020.1754497