SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia

The United Nations (UN) 2030 Agenda involves 17 major Sustainable Development Goals (SDGs). These SDGs have great implications for country-wide development and making plans in both developed and developing nations in the post-2015 period to 2030. The SDGs are a set of 17 interlinked global goals designed to be a plan to attain a better sustainable future by the combination of earth observation (EO) and artificial intelligence architecture. To attain the goal of global sustainable protection and utilization of terrestrial ecosystems, it is important to quantitatively determine the implementation of Sustainable development goal 15 (SDG-15) and goal 13 (SDG-13). In this paper, we focus on the integration of these SDGs in Tunisia as a new regional development plan. Thus, we present a complete benchmark that aims to solve the complicated analytical problems related to the sophisticated data type using Deep learning (DL) architecture.