Climate Decision AI: Transforming Environmental Impact Assessments Through Pre-Emptive Predictive Analytics

Abstract

Rapid Infrastructure development often has unwanted climate effects, emissions, biodiversity loss, and resource consumption due to fragmented and reactive environmental impact assessments. This research introduces Climate Decision AI, a global multi-criteria decision support system that assesses climate, environment, community, and economic impact before construction using satellite imagery, climate data, socio-economic indicators, and machine learning. The system employs Digital Twins, Predictive Analytics, and XAI to ensure projects are consistent with the UN Sustainable Development Goals (SDGs) 6, 9, 11, 13, 15, and 17. For instance, it will provide global development banks and national planning authorities with a comprehensive digital transformation platform that promotes transparency in decision-making for climate action and sustainable development. Keywords: Predictive Analytics; Sustainable Development Goals; Environmental Impact Assessment; Decision Intelligence; Geospatial AI; Digital Twins