CALCULATING SEAWATER CARBON CONTENT USING SATELLITE SENSOR DATA

Abstract

There are numerous effects of chemical reactions in ocean surface waters. The importance of carbon dioxide and its constituents, as well as the potential consequences they may have on climate change, has recently increased. Key sea-surface data can be measured in close to real-time by remote sensing, allowing for the estimation of carbon levels. Hybrid satellite sensor data is used to illustrate. We train our algorithms using data gathered from cruise ships as the "ground truth" in order to validate our findings. The proposed approach can be utilised to estimate Carbon levels in any ocean because our predictor's error rate is shown to be low. The use of sea water salinity as a stand-in for carbon calculations is one way that this work advances prior research. The Carbon content of surface water is predicted using binary combinations of typically unary predictor variables, and the relationship is quantified using an intrinsically non-linear model. Keywords: Climate Change, Carbon emissions, Ocean acidification