Analysis of Drought Disaster Potential Based on Remote Sensing and Geographic Information System (Case Study: North Central Timor Regency)
Deskripsi:
This paper presents a spatial analysis of drought disaster potential in North Central Timor Regency, East Nusa Tenggara, Indonesia. Utilizing remote sensing data (CHIRPS) and Geographic Information Systems (GIS), the study assesses rainfall distribution and drought severity to identify vulnerable areas. Spatial interpolation techniques were applied to generate a drought risk map.
The findings reveal that most areas in the region fall under moderate to severe drought categories, highlighting significant vulnerability to water scarcity. The study emphasizes the importance of spatial data in disaster risk management and proposes mitigation strategies such as water infrastructure development, reforestation, and adaptive land-use planning. The research contributes valuable insight into data-driven policymaking for disaster preparedness and climate change adaptation in drought-prone regions.
