Towards Monitoring of Nutrient Pollution in Coastal Lake Using Remote Sensing and Regression Analysis Article Swipe
Md Maruf Mortula
,
Tarig Ali
,
Abdallah Raafat Bachir
,
Ahmed Elaksher
,
Mohamed Yehia Abouleish
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/w12071954
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/w12071954
The last few decades have witnessed a tremendous increase in nutrient levels (phosphorus and nitrogen) in coastal water leading to excessive algal growth (Eutrophication). The presence of large amounts of algae turns the water’s color into green or red, in the case of algal blooms. Chlorophyll-a is often used as an indicator of algal biomass. Due to increased human activities surrounding Dubai creek, there have been eutrophication concerns given the levels of nutrients in that creek. This study aims to map chlorophyll-a in Dubai Creek from WorldView-2 imagery and explore the relationship between chlorophyll-a and other eutrophication indicators. A geometrically- and atmospherically-corrected WorldView-2 image and in-situ data have been utilized to map chlorophyll-a in the creek. A spectral model, developed from the WorldView-2 multispectral image to monitor Chlorophyll-a concentration, yielded 0.82 R2 with interpolated in-situ chlorophyll-a data. To address the time lag between the in-situ data and the image, Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images were used to demonstrate the accuracy of the WorldView-2 model. The images, acquired on 20 May and 23 July 2012, were processed to extract chlorophyll-a band ratios (Band 4/Band 3) following the standard approach. Based on the availability, the 20 May image acquisition date is the closest to the middle of Quarter 2 (Q2) of the in-situ data (15 May). The 23 July 2012 image acquisition date is the closest to the WorldView-2 image date (24 July). Another model developed to highlight the relationship between spectral chlorophyll-a levels, and total nitrogen and orthophosphate levels, yielded 0.97 R2, which indicates high agreement. Furthermore, the generated models were found to be useful in mapping chlorophyll-a, total nitrogen, and orthophosphate, without the need for costly in-situ data acquisition efforts.
Related Topics
Concepts
Eutrophication
Environmental science
Chlorophyll a
Nutrient
Thematic Mapper
Algal bloom
Remote sensing
Chlorophyll
Thematic map
Phosphorus
Nutrient pollution
Pollution
Multispectral image
Hydrology (agriculture)
Geography
Satellite imagery
Cartography
Phytoplankton
Ecology
Geology
Biology
Botany
Materials science
Geotechnical engineering
Metallurgy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/w12071954
- https://www.mdpi.com/2073-4441/12/7/1954/pdf?version=1595386918
- OA Status
- gold
- Cited By
- 23
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3041249581
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3041249581Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/w12071954Digital Object Identifier
- Title
-
Towards Monitoring of Nutrient Pollution in Coastal Lake Using Remote Sensing and Regression AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-07-09Full publication date if available
- Authors
-
Md Maruf Mortula, Tarig Ali, Abdallah Raafat Bachir, Ahmed Elaksher, Mohamed Yehia AbouleishList of authors in order
- Landing page
-
https://doi.org/10.3390/w12071954Publisher landing page
- PDF URL
-
https://www.mdpi.com/2073-4441/12/7/1954/pdf?version=1595386918Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2073-4441/12/7/1954/pdf?version=1595386918Direct OA link when available
- Concepts
-
Eutrophication, Environmental science, Chlorophyll a, Nutrient, Thematic Mapper, Algal bloom, Remote sensing, Chlorophyll, Thematic map, Phosphorus, Nutrient pollution, Pollution, Multispectral image, Hydrology (agriculture), Geography, Satellite imagery, Cartography, Phytoplankton, Ecology, Geology, Biology, Botany, Materials science, Geotechnical engineering, MetallurgyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
23Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 7, 2024: 6, 2023: 5, 2022: 4, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
40Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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