Climate change, a phenomenon fueled by anthropogenic factors, is one of the most pressing issues in the whole world. It detrimentally affects every aspect of human lives as well as creates global-scale harm to flora and fauna. According to WHO 3.6 billion people already live in areas extremely susceptible to climate change and the future between the period of 2030 to 2050, it is expected to cause around 250 000 additional deaths per year due to heat stress alone. To address this problem various organizations are implementing AI algorithms to monitor and operate a tremendous flow of information, thus enabling them to predict weather conditions and map extreme habitats.
The strongest suit of artificial intelligence is the high efficiency of data analysis. In other words, it can simultaneously monitor and notice calibrations in a mere second and then report it to the head, while for ordinary workers it would have taken an immense amount of effort and time to provide such results. By properly utilizing this ability, one of the main debacles could be ameliorated, which is weather-related hazards taking place all over the world. As climate changes, the intensity and frequency of weather conditions escalate, resulting in dire consequences such as famine, droughts and floods. Nowadays, it is common to use AI-powered models to predict and provide early warning as well as alert communities about impending disasters. A great example would be Be-Resilient that uses AI to predict floods in Mozambique.
It is a well-known fact that deforestation – is one of the primary benefactors that promote climate change. According to LSE, deforestation contributes to 12-20% of worldwide emissions of greenhouse gas. Forest degradation leads to the release of carbon dioxide into the atmosphere, which will only facilitate the issue further. However, the process of forest depletion is uncontrollable and continuous, thus requiring constant surveillance as well as mapping to measure the rate and carbon quantity. One of the ways to supply this necessity is through collaboration between AI-model and satellite. A company called Space Intelligence has mapped more than one million hectares of land which would be a remarkable example of such cooperation.
To conclude, the top-notch approach when dealing with climate change would be through AI due to its productivity and velocity. AI can detect anomalies, predict the result and map the extreme zones for scientists, as a result simplifying entire workload