Page 34 - Mapping the Nation: Taking Climate Action

The next step is to increase the use of sensors and the IoT to have some of the data updated in near real time. "With modeling, there's only so much you can do," Oei said. "But if you integrate modern sensors, this truly becomes a digital twin and you become more proactive than reactive." The ocean is an immensely complicated system. As GeoSpace-Sea grows, the ability of scientists to accumulate knowledge will increase their understanding of this complexity. Port activity drives much of the economy in Singapore. The next phase of GeoSpace-Sea will introduce an AI aspect, using machine learning protocols to search for patterns and hot spots. As an example, Oei suggests that GeoSpace-Sea could help Singapore better understand the conditions that lead to red tide, when algal blooms wreak havoc on its coastal ecosystems. "What makes AI so interesting is that it could uncover things we don't know, but we honestly can't say what it will show us," Oei said. 33