Bali, Indonesia’s “Island of the Gods,” is celebrated for its natural beauty and spiritual heritage, yet faces a complex array of disaster risks shaped by tectonic activity, climate variability, and human development. Located on the Pacific Ring of Fire, the island is prone to earthquakes, volcanic eruptions, floods, landslides, and tsunamis. Mount Agung, a sacred stratovolcano in Karangasem, exemplifies this duality revered by Balinese Hindus and feared for its deadly eruptions, including the catastrophic event in 1963 and its reawakening in 2017. In Karangasem, disaster risk reduction has progressed through a fusion of local leadership and geospatial innovation. Participatory mapping, drone surveys, and open data platforms now support early warning systems and contingency planning. Community-based programs such as Desa Tangguh Bencana and the Centre of Excellence initiative empower residents to map hazards, design evacuation routes, and conduct preparedness drills.

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The Generous Open Mapping-Data Quality Focused

Open mapping is a powerful tool for creating and sharing geographic data in a collaborative and open manner. Its benefits include increased data accuracy, improved data integration, and enhanced data visualization capabilities. However, it also has some limitations that need to be considered, such as data quality and security concerns. Open mapping has been instrumental in various initiatives, such as humanitarian aid, disaster response, and urban planning, and has become a vital resource for many organizations and individuals. While open mapping has many benefits, there are also some limitations to consider:

1. Data Quality: Open mapping data may not always be accurate or up-to-date, as it relies on contributions from a community of volunteers.
2. Data Integration: Open mapping data may not always be easily integrated with other data sources, as it may use different formats or standards.
3. Data Security: Open mapping data may be vulnerable to security risks, as it is publicly available and can be accessed by anyone. Data quality is a critical aspect of open mapping initiatives. By understanding the challenges and implementing best practices, open mapping communities can improve data quality and ensure the accuracy and reliability of the data.

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