Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar
Remote sensing of spectrally active Chlorophyll-a (Chl-a) in the gulf water of an arid region is important to understand the spatial and temporal variations of phytoplankton and biomass in the water. This study characterizes the spectral absorption of Chl-a and detects and maps the Chl-a of Al Arish...
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| مؤلفون آخرون: | , , , , |
| التنسيق: | article |
| منشور في: |
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://dx.doi.org/10.1016/j.rsma.2022.102680 https://www.sciencedirect.com/science/article/pii/S2352485522002754 http://hdl.handle.net/10576/42668 |
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| _version_ | 1857415087454683136 |
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| author | Sankaran, Rajendran |
| author2 | Al-Naimi, Noora Al Khayat, Jassim A. Sorino, Caesar Flonasca Sadooni, Fadhil N. Al Saad Al Kuwari, Hamad |
| author2_role | author author author author author |
| author_facet | Sankaran, Rajendran Al-Naimi, Noora Al Khayat, Jassim A. Sorino, Caesar Flonasca Sadooni, Fadhil N. Al Saad Al Kuwari, Hamad |
| author_role | author |
| dc.creator.none.fl_str_mv | Sankaran, Rajendran Al-Naimi, Noora Al Khayat, Jassim A. Sorino, Caesar Flonasca Sadooni, Fadhil N. Al Saad Al Kuwari, Hamad |
| dc.date.none.fl_str_mv | 2022-11-30 2023-05-14T06:06:23Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://dx.doi.org/10.1016/j.rsma.2022.102680 23524855 https://www.sciencedirect.com/science/article/pii/S2352485522002754 http://hdl.handle.net/10576/42668 56 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Chlorophyll-a Hyperion Sentinel-2 Landsat-8 Algorithms Qatar Arabian Gulf |
| dc.title.none.fl_str_mv | Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Remote sensing of spectrally active Chlorophyll-a (Chl-a) in the gulf water of an arid region is important to understand the spatial and temporal variations of phytoplankton and biomass in the water. This study characterizes the spectral absorption of Chl-a and detects and maps the Chl-a of Al Arish–Al Ghariyah coastal region of northern Qatar using the data of Hyperion of EO-1, MultiSpectral Instrument (MSI) of Sentinel-2, and Operational Land Imager (OLI) of Landsat-8 satellites. The study of image spectra of Chl-a of coastal water of the Al Ghariyah region using the Hyperion image showed spectral band absorptions near 450 and 475 nm in the blue region and around 640, 730, 760, and 830 nm in the red region. The analysis of Hyperion data using image spectra by linear spectral unmixing (LSU) method showed the occurrence of Chl-a in very shallow and shallow water. The mapping of Chl-a of the Al Arish–Al Ghariyah coastal region was carried out using MSI and OLI data by NDCI, 2BDA, 3BDA, and FLH violet algorithms, which showed the concentrations and distributions of the Chl-a in the region. The performance of the algorithms was studied using WorldView-3 data, which provided the R2 values of 60% and the best suitability of the NDCI algorithm and MSI data to map the concentration of Chl-a. All the results were validated using field measurements, in-situ measurements, and laboratory analyses of field samples. The measurements of Chl-a showed the occurrence of poor occurrence of Chl-a and confirmed the imagery results. The remote sensing results with physical and chemical parameters of water samples allowed us to assess Chl-a concentrations in the region. This study evaluates the sensor’s capability and applications of satellite data and algorithms to map concentrations of Chl-a in the Gulf waters of the arid region. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | qu_d89e76275880c0c8ed969fd70a311a89 |
| identifier_str_mv | 23524855 56 |
| language_invalid_str_mv | en |
| network_acronym_str | qu |
| network_name_str | Qatar University repository |
| oai_identifier_str | oai:qspace.qu.edu.qa:10576/42668 |
| publishDate | 2022 |
| publisher.none.fl_str_mv | Elsevier |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| spelling | Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of QatarSankaran, RajendranAl-Naimi, NooraAl Khayat, Jassim A.Sorino, Caesar FlonascaSadooni, Fadhil N.Al Saad Al Kuwari, HamadChlorophyll-aHyperionSentinel-2Landsat-8AlgorithmsQatarArabian GulfRemote sensing of spectrally active Chlorophyll-a (Chl-a) in the gulf water of an arid region is important to understand the spatial and temporal variations of phytoplankton and biomass in the water. This study characterizes the spectral absorption of Chl-a and detects and maps the Chl-a of Al Arish–Al Ghariyah coastal region of northern Qatar using the data of Hyperion of EO-1, MultiSpectral Instrument (MSI) of Sentinel-2, and Operational Land Imager (OLI) of Landsat-8 satellites. The study of image spectra of Chl-a of coastal water of the Al Ghariyah region using the Hyperion image showed spectral band absorptions near 450 and 475 nm in the blue region and around 640, 730, 760, and 830 nm in the red region. The analysis of Hyperion data using image spectra by linear spectral unmixing (LSU) method showed the occurrence of Chl-a in very shallow and shallow water. The mapping of Chl-a of the Al Arish–Al Ghariyah coastal region was carried out using MSI and OLI data by NDCI, 2BDA, 3BDA, and FLH violet algorithms, which showed the concentrations and distributions of the Chl-a in the region. The performance of the algorithms was studied using WorldView-3 data, which provided the R2 values of 60% and the best suitability of the NDCI algorithm and MSI data to map the concentration of Chl-a. All the results were validated using field measurements, in-situ measurements, and laboratory analyses of field samples. The measurements of Chl-a showed the occurrence of poor occurrence of Chl-a and confirmed the imagery results. The remote sensing results with physical and chemical parameters of water samples allowed us to assess Chl-a concentrations in the region. This study evaluates the sensor’s capability and applications of satellite data and algorithms to map concentrations of Chl-a in the Gulf waters of the arid region.Open Access funding provided by the Qatar National Library. This study is supported by Qatar University Grant no. QUEX-ESC-QAFCO-20/21-1. The authors are thankful for the USGS Data Management and Information Distribution (DMID) (https://glovis.usgs.gov/) for sharing the Hyperion and Landsat-8 data, and the Copernicus, European Space Agency for sharing the Sentinel-2 data through sentinel open access hub (https://sentinel.esa.int/web/sentinel/sentinel-data-access). The Digital Globe, USA is acknowledged for providing the WorldView-2 satellite image (Image ID: 104001004D7C7D00) that was acquired on n June 29, 2019. Mr. Fahad Syed Asim, Mr. Faisal Muthar Al-Quaiti, and Mr. Reyniel M. Gasang are thanked for their support in the fieldwork. Mr. Mark Edward Chatting is thanked for taking underwater photography and collecting underwater samples. The sediments, water, and biological samples for different analyses are organized by Ms. Thoraya Haidar S A Alyafei. The classification and naming of biological samples are provided by Ms. Aisha Ahmed Al Ashwal. Mr. Hamood Abdulla Alsaadi and Ms. Marwa Mustufa Al-Azhari have analyzed water samples for major and trace element concentrations. The authors are thankful to Prof. Seongjin Hong, the Associate Editor and anonymous reviewer of the journal for the valuable reviews, providing comments and suggestions that have helped to present the work lucidly.Elsevier2023-05-14T06:06:23Z2022-11-30Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1016/j.rsma.2022.10268023524855https://www.sciencedirect.com/science/article/pii/S2352485522002754http://hdl.handle.net/10576/4266856enhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:qspace.qu.edu.qa:10576/426682024-12-01T09:27:14Z |
| spellingShingle | Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar Sankaran, Rajendran Chlorophyll-a Hyperion Sentinel-2 Landsat-8 Algorithms Qatar Arabian Gulf |
| status_str | publishedVersion |
| title | Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar |
| title_full | Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar |
| title_fullStr | Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar |
| title_full_unstemmed | Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar |
| title_short | Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar |
| title_sort | Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar |
| topic | Chlorophyll-a Hyperion Sentinel-2 Landsat-8 Algorithms Qatar Arabian Gulf |
| url | http://dx.doi.org/10.1016/j.rsma.2022.102680 https://www.sciencedirect.com/science/article/pii/S2352485522002754 http://hdl.handle.net/10576/42668 |