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A Comparison and Co-relation Between Estimated Water Quality Parameters Using Band Ratio Algorithm of Sentinel-2 and Landsat-8 Data and Observed Water Quality Parameters for Kamuzu Reservoir Over Lilongwe River in Malawi, Africa
Version 1
: Received: 24 January 2023 / Approved: 26 January 2023 / Online: 26 January 2023 (09:12:01 CET)
How to cite:
Chome, B.; Prakash, S. A Comparison and Co-relation Between Estimated Water Quality Parameters Using Band Ratio Algorithm of Sentinel-2 and Landsat-8 Data and Observed Water Quality Parameters for Kamuzu Reservoir Over Lilongwe River in Malawi, Africa. Preprints2023, 2023010477. https://doi.org/10.20944/preprints202301.0477.v1
Chome, B.; Prakash, S. A Comparison and Co-relation Between Estimated Water Quality Parameters Using Band Ratio Algorithm of Sentinel-2 and Landsat-8 Data and Observed Water Quality Parameters for Kamuzu Reservoir Over Lilongwe River in Malawi, Africa. Preprints 2023, 2023010477. https://doi.org/10.20944/preprints202301.0477.v1
Chome, B.; Prakash, S. A Comparison and Co-relation Between Estimated Water Quality Parameters Using Band Ratio Algorithm of Sentinel-2 and Landsat-8 Data and Observed Water Quality Parameters for Kamuzu Reservoir Over Lilongwe River in Malawi, Africa. Preprints2023, 2023010477. https://doi.org/10.20944/preprints202301.0477.v1
APA Style
Chome, B., & Prakash, S. (2023). A Comparison and Co-relation Between Estimated Water Quality Parameters Using Band Ratio Algorithm of Sentinel-2 and Landsat-8 Data and Observed Water Quality Parameters for Kamuzu Reservoir Over Lilongwe River in Malawi, Africa. Preprints. https://doi.org/10.20944/preprints202301.0477.v1
Chicago/Turabian Style
Chome, B. and Satya Prakash. 2023 "A Comparison and Co-relation Between Estimated Water Quality Parameters Using Band Ratio Algorithm of Sentinel-2 and Landsat-8 Data and Observed Water Quality Parameters for Kamuzu Reservoir Over Lilongwe River in Malawi, Africa" Preprints. https://doi.org/10.20944/preprints202301.0477.v1
Abstract
Water quality is the measure of chemical, physical and biological suitability of water in relation to natural effects and intended purpose which may affect human health and aquatic life. Assessment of water quality is very essential for the management of water resources and human health. Traditionally, in-situ measurements have been used to obtain the water quality parameters of the water bodies. However, with the availability of satellite images, researchers have shown that satellite images are a reliable tool that can be used to estimate water quality. Satellite image-derived water quality parameters provide extensive spatial extent and large temporal variations when compared to traditional in situ sample collection and laboratory measurements. The present work estimated several parameters for quality of water in the Kamuzu reservoir of Lilongwe River for the 2013-2020 period using Sentinel-2 and Landsat-8 satellite images. The band ratio algorithms were used to retrieve Chlorophyll a (Chl-a), Turbidity, Total Suspended Matter (TSM), Secchi depth, Coloured Dissolved Organic Matter (CDOM), and Cyanobacteria from the reservoir. Turbidity and TSM were compared with the in-situ data collected over the same period. The comparison indicated R2 of 0.9 and 0.69 for TSM and Turbidity respectively from Sentinel-2 images whereas R2 of 0.56 and 0.61 was obtained using Landsat 8 images which are quite encouraging. The other set of results included the spatial distribution maps of water quality parameters using Landsat-8 and Sentinel-2 satellite data. It was observed that the spatial distribution of water quality parameters, except for CDOM and Cyanobacteria, showed very good distribution and matches with the theoretical results. However, for CDOM and Cyanobacteria, the distribution was almost similar for the entire study area and the band ratio algorithm may not be able to estimate them quite reasonably. This research reiterates the need for the use of remote sensing in estimating the water quality parameters and may be a substitute to the in-situ data, in terms of spread and frequency, which is very common to most of the water bodies, across the globe.
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received:
27 January 2023
The commenter has declared there is no conflict of interests.
Comment:
Very nice work, remote sensing is really cutting across many sectors, as a Malawian I'm glad we're using this technology, this is the way to go
The commenter has declared there is no conflict of interests.