In this training program, Participants will learn about Artificial Intelligence technology, remote sensing can be used to monitor changes in land cover, natural resource utilization activities, and environmental dynamics more effectively. Through utilization radar satellite images which has the advantage of being able to penetrate cloud cover, Participants will understand how remote sensing data can be maximized for continuous monitoring activities in various sectors such as mining, oil and gas, agriculture, forestry, and environment.

The training material includes satellite image analysis techniques and their integration with Geographic Information Systems (GIS) as well as Artificial Intelligence to identify various changes on the surface earth, such as land clearing, development of mining areas, vegetation conditions, and other environmental dynamics. Participants will also be introduced to geospatial data analysis methods to perform production estimates, monitoring resource conditions, as well as periodic trend analysis (yearly, semester, or monthly).

This approach enables development Early Warning System (EWS) based on geospatial data that can support natural resource management in a more measurable manner, transparent, and data-based, while improving quality of decision making for stakeholders