Table 1 Table summarizing previous related work

Bates et al. [2]

Establish time-series for oceanic carbon levels using in-situ measurements

Data used was biased to spring-season, and relies on seaborne vessels to take measurements

Zui et al. [66]

Sea surface temperature and Chlorophyll were used to derived POC fluxes

This method did not incorporate salinity data, and the validation of results was done using point in-situ sources

Dixit et al. [9]

MLR and SVM models were compared at estimating \(p\text {CO}_2\)

In-situ verification of chlorophyll measurements were not performed, and the accuracy was not comparable to previous approaches due to limited longitude

Liu W. Timothy [36]

An SVM model using SST and SSS to predict sea-surface Carbon fugacity

Large data gaps from MODIS sensors resulted in the authors using significant smoothing to the input data, possibly reducing the model’s ability to capture smaller variations

Liu and Xie [35]

Carbon dioxide partial pressure was modelled using a linear kernel

The temporal resolution of input data on a yearly-basis was objectively low, with large gaps in the satellite mapping data. Additionally, the authors highlighted the lack of dense, in-situ salinity measurements for model verification