MODIS Derived Sea Surface Salinity, Temperature, and Chlorophyll-a Data for Potential Fish Zone Mapping: West Red Sea Coastal Areas, Saudi Arabia

Daqamseh, Saleh T.; Al-Fugara, A’kif; Pradhan, Biswajeet; Al-Oraiqat, Anas M.; Habib, Maan

doi:10.3390/s19092069

Cited by 21 publications

(5 citation statements)

References 43 publications

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“…This finding has demonstrated the suitability of the Chlorophyll concentration mapping in the coastal area of Lombok Island. These points are in line with the results of Acker et al (2008)Jas well as the findings presented by Daqamseh et al (2019) for measurement of chlorophyll-a mapping at the sea surface. Due to the limitation of time collectin the satellite image data, this study does not represent seasonal concentration in Lombok Island, but only representing the variation between the north and south part of the island in which two different sea affected the Lombok Island coastal area, the Indian Ocean in the south and Bali sea in the north part of the island.…”

Section: Discussionsupporting

confidence: 92%

Analysis of Variance and Correlation Study of Chlorophyll-a in North and South Coast of Lombok Island Using Aqua MODIS Image Data

Wibisana

Zainab

Kamandang

et al. 2020

Aceh Int. J. Sci. Technol

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Chlorophyll-a mapping is widely used in the coastal environment. The mapping results can be utilized as guidance for fishing activities. The presence of chlorophyll-a in phytoplankton is much investigated concerning the existence of fish as a source of livelihood for fishermen around the globe. One method extensively developed is the use of satellite imagery to map the chlorophyll-content in the coastal region from a small area to a global scale, such as Aqua MODIS image data. This study aims to monitor the distribution of chlorophyll-a on the north coast and south coast of Lombok island. Analysis of variance and parametric statistical tests with t-distribution was utilized to examine the correlation between the two types of chlorophyll-a distribution of the coast area, Lombok Island. The result shows that the distribution of chlorophyll-a concentrations on the north coast and the south of the coast is not the same abundance; the south coast of Lombok island has smaller variances, with the concentration distribution is relatively the same. It differs from the north part; the distribution shows less diversity. This result indicates that a reasonably wide interval wherein some coordinates has a relatively diffuse chlorophyll-a concentration with a sufficiently high distribution level. Analysis of variance result also shows that both the north and south coasts have different fertility levels for their coastal waters, which are characterized by the growth rate of chlorophyll-a on the surface water along the coastal region examined

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Section: Discussionsupporting

confidence: 92%

Analysis of Variance and Correlation Study of Chlorophyll-a in North and South Coast of Lombok Island Using Aqua MODIS Image Data

Wibisana

Zainab

Kamandang

et al. 2020

Aceh Int. J. Sci. Technol

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“…The central Red Sea had considerably different variable SE scores compared with the Chagos Archipelago and the Gilbert Islands which were more similar to one another. This is most likely due to the Red Sea being sheltered and shallow, with a lack of freshwater input from rivers and streams, resulting in a unique region of shallow depths, increased salinity and low current speeds (Daqamseh et al., 2019; Tragou & Garrett, 1997).…”

Section: Resultsmentioning

confidence: 99%

“…The RESET also supports previous work on intra‐regional differences in bleaching in these regions, with inshore reefs more susceptible to bleaching events in the central Red Sea (Furby et al., 2013; Monroe et al., 2018), reefs at the Great Chagos Bank having greatest coral declines in the Chagos Archipelago (Head et al., 2019), and South Tarawara experiencing the greatest heat stress compared with other sites in the Gilbert Islands (Carilli et al., 2012; Donner et al., 2010). The case study sites were either in offshore regions, or, in the case of the central Red Sea, had minimal terrestrial runoff (Daqamseh et al., 2019; Tragou & Garrett, 1997). (Daqamseh et al., 2019; Tragou & Garrett, 1997).…”

Section: Discussionmentioning

confidence: 99%

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Monitoring shallow coral reef exposure to environmental stressors using satellite earth observation: the reef environmental stress exposure toolbox (RESET)

Williamson

Tebbs

Dawson

et al. 2022

Remote Sens Ecol Conserv

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Coral reefs are significantly threatened by multiple environmental stressors associated with climate change. While there is growing recognition of the importance of interacting stressors on coral reefs, so far this has been primarily limited to in situ studies. Satellite remote sensing has potential for investigating coral reef exposure to multiple environmental stressors at a global scale over multiple years; however, current satellite monitoring is primarily focused on thermal stress. Here we collate nine environmental variables (cloud cover, current, depth, salinity, wind, and four sea surface temperature-based metrics) from readily available satellite datasets using the Google Earth Engine geospatial processing platform. Using ecological and health-based thresholds obtained from the literature, we developed, using fuzzy logic (discontinuous functions), a Reef Environmental Stress Exposure Toolbox (RESET) for monitoring environmental stress exposure at multiple scales. Stress exposure scores for 3157 reefs were generated and mapped globally across 12 coral reef ecosystem regions. RESET was also applied to three case-study reefs, previously well monitored for stress and disturbance using other methods. PCA analysis indicated that depth, current, sea surface temperature (SST) and SST anomaly accounted for the greatest contribution to the variance in environmental stress exposure in these three regions. Depth, degree heating weeks, and SST anomaly were identified as the potential drivers of inter-and intra-region variation in environmental stress exposure. Individual variables were then integrated into a multi-metric index of combined stress exposure which corroborated temporal and spatial differences due to known disturbance events. RESET provides a open access, easily interpretable set of tools and associated indices for monitoring environmental stress exposure on coral reefs, designed to inform conservation and management decisions. As such RESET has broad potential to assist in the monitoring of our increasingly imperilled coral ecosystems, in particular, those that are remote or inaccessible.

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“…During the analysis of pressure due to fishery activities, PFZ can be modeled using more parameters, such as TSS, sea surface height [122], sea surface salinity [123,124], and merged sea level of anomaly [125]; additionally, the PFZ can be quantitatively converted to the potential fish catch weight per area. Another important research consideration is the classification of the VBD data using specific algorithms to separate fishing vessels from other vessel types [71,126].…”

Section: Future Research Directivesmentioning

confidence: 99%

Assessing Potential Climatic and Human Pressures in Indonesian Coastal Ecosystems Using a Spatial Data-Driven Approach

Fauzi

Sakti

Robbani

et al. 2021

IJGI

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Blue carbon ecosystems are key for successful global climate change mitigation; however, they are one of the most threatened ecosystems on Earth. Thus, this study mapped the climatic and human pressures on the blue carbon ecosystems in Indonesia using multi-source spatial datasets. Data on moderate resolution imaging spectroradiometer (MODIS) ocean color standard mapped images, VIIRS (visible, infrared imaging radiometer suite) boat detection (VBD), global artificial impervious area (GAIA), MODIS surface reflectance (MOD09GA), MODIS land surface temperature (MOD11A2), and MODIS vegetation indices (MOD13A2) were combined using remote sensing and spatial analysis techniques to identify potential stresses. La Niña and El Niño phenomena caused sea surface temperature deviations to reach −0.5 to +1.2 °C. In contrast, chlorophyll-a deviations reached 22,121 to +0.5 mg m−3. Regarding fishing activities, most areas were under exploitation and relatively sustained. Concerning land activities, mangrove deforestation occurred in 560.69 km2 of the area during 2007–2016, as confirmed by a decrease of 84.9% in risk-screening environmental indicators. Overall, the potential pressures on Indonesia’s blue carbon ecosystems are varied geographically. The framework of this study can be efficiently adopted to support coastal and small islands zonation planning, conservation prioritization, and marine fisheries enhancement.

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MODIS Derived Sea Surface Salinity, Temperature, and Chlorophyll-a Data for Potential Fish Zone Mapping: West Red Sea Coastal Areas, Saudi Arabia

Cited by 21 publications

References 43 publications

Analysis of Variance and Correlation Study of Chlorophyll-a in North and South Coast of Lombok Island Using Aqua MODIS Image Data

Analysis of Variance and Correlation Study of Chlorophyll-a in North and South Coast of Lombok Island Using Aqua MODIS Image Data

Monitoring shallow coral reef exposure to environmental stressors using satellite earth observation: the reef environmental stress exposure toolbox (RESET)

Assessing Potential Climatic and Human Pressures in Indonesian Coastal Ecosystems Using a Spatial Data-Driven Approach

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