2022
DOI: 10.3390/rs14153572
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A Blueprint for the Estimation of Seagrass Carbon Stock Using Remote Sensing-Enabled Proxies

Abstract: Seagrass ecosystems sequester carbon at disproportionately high rates compared to terrestrial ecosystems and represent a powerful potential contributor to climate change mitigation and adaptation projects. However, at a local scale, rich heterogeneity in seagrass ecosystems may lead to variability in carbon sequestration. Differences in carbon sequestration rates, both within and between seagrass meadows, are related to a wide range of interrelated biophysical and environmental variables that are difficult to … Show more

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Cited by 11 publications
(6 citation statements)
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“…The benefit of retrieving LAI lies in the strong correlation between the density and above-ground seagrass carbon, which in turn can be used to estimate below-ground carbon. The percent seagrass cover is a commonly retrieved attribute that can be estimated via manual delineation of aerial imagery or through sea surface reflectance, but unlike LAI, it is not strongly predictive of biomass [19]. For this reason, we suggest that finding an appropriate correction for LAI when residual brightness remains in the spectra after atmospheric correction or finding a way to improve our atmospheric correction is critical in moving our estimates forward for the seagrass contribution to Blue Carbon.…”
Section: Discussionmentioning
confidence: 99%
“…The benefit of retrieving LAI lies in the strong correlation between the density and above-ground seagrass carbon, which in turn can be used to estimate below-ground carbon. The percent seagrass cover is a commonly retrieved attribute that can be estimated via manual delineation of aerial imagery or through sea surface reflectance, but unlike LAI, it is not strongly predictive of biomass [19]. For this reason, we suggest that finding an appropriate correction for LAI when residual brightness remains in the spectra after atmospheric correction or finding a way to improve our atmospheric correction is critical in moving our estimates forward for the seagrass contribution to Blue Carbon.…”
Section: Discussionmentioning
confidence: 99%
“…The degradation of marine life and marine vegetation is a result of global warming (Abirami et There have been few studies done to identify seagrasses. The seagrass is in danger from human intervention, such as shing, boat anchoring on seagrass beds, oil spills, and the discharge of massive amounts of solid waste and sewage (Simpson et al, 2022). To determine the presence or absence of seagrasses and the distribution of their families in the Mediterranean Sea, Effrosynidiset al, 2011 employed machine learning techniques.…”
Section: A Study On Seagrassmentioning
confidence: 99%
“…These dense seagrass beds provide effective wave attenuation (Adi et al 2019;Spalding et al 2014) and are primary producers, supporting a diverse array of fauna, including fish and turtles (Hoffmann et al 2020;Abrantes et al 2015). Furthermore, seagrasses play a crucial role in influencing water flows, nutrient cycling, food webs, and provide a refuge for various marine organisms (Simpson et al 2022). Despite the ecological importance of seagrass beds, their conservation has received limited attention from coastal communities.…”
Section: Introductionmentioning
confidence: 99%
“…Remote sensing is a necessary process to determine the extent of seagrass beds on islands like Bontosua Island (Yang and Yang 2009). Mapping seagrass ecosystems through remote sensing is an effective way to monitor seagrass distribution and obtain important spatial information about seagrass ecological characteristics as they change over time, supporting coastal management and conservation efforts (Simpson et al 2022). The remote sensing process involves using satellite sensors or image recording devices to obtain images of the Earth's surface (Hossain et al 2015).…”
Section: Introductionmentioning
confidence: 99%