Data Analytics and Artificial Intelligence for Earth Resource Management

Abstract

As climate change continues to pose significant challenges worldwide, regions of high vulnerability necessitate specialized strategies for effective resource management and communication. We examine the innovative incorporation of artificial intelligence (AI) and data analytics (DA) in establishing advanced early warning systems. Current advancements in AI have not only contributed to reducing climate vulnerability by identifying, monitoring, and predicting climate change impacts, particularly in zones prone to heightened climatic disruptions, but also helped prevent loss of human lives, livestock, agricultural produce, and other Earth resources. This chapter highlights the potential of AI&DA to transform our capacity to anticipate and respond to climate-induced resource shortages and disasters. The importance of these technologies in furthering educational initiatives, effective communication, enabling timely information dissemination, and coordinating responses in high-risk regions are emphasized. The potential of AI to serve as a “Technology for Social Good” is presented, emphasizing the need for accessibility, inclusivity, and multilingual support. The chapter also probes the role of AI in science communication by providing essential climate information and education, enabling individuals to make informed decisions and participate actively in climate action. The discussion extends to the utilization of AI&DA in Earth resource management (ERM), exploring ways to make these technologies interactive, accessible, and beneficial for the public. This chapter takes a novel approach with regard to how components of communication can help strategies during crisis situations with the model named as 3M (mistake+manage+mitigate). The 3M model examines the earlier assessment of managing risk communication and adds a communication component to it for better reach. Most of these earlier models were developed with respect to crises or from the perspective of specific communities in developed economies. To fill this gap the current discussion takes a holistic view of the problem and takes a communicative approach to deal with it effectively. These systems can help ERM to protect natural resources from climate change and other threats in areas that are at high risk of environmental damage.