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November 20, 2024 | 08:09 pm
TEMPO.CO, Jakarta - Indonesia's capacity to respond to natural disasters faces significant obstacles due to limitations in current geospatial mapping data, according to the Indonesian Space Agency-National Research and Innovation Agency (INASA-BRIN).
INASA-BRIN Executive Director Erna Sri Adiningsih stated in Jakarta on Wednesday that disaster mitigation efforts based on geospatial maps must be carried out by using data that is always updated with satellite imagery to ensure that the information obtained is more up-to-date and real.
"However, the main problem is that disasters have many dynamic types, with an intensity that may be greater than historical data," Adiningsih remarked.
According to Adiningsih, two critical challenges stand out in disaster management: maintaining up-to-date historical disaster records using satellite technology and accurately forecasting high-risk zones prone to disasters, such as floods and landslides.
The INASA-BRIN executive director emphasized that swift emergency response capabilities of relevant authorities are heavily reliant on accurate and current geospatial data.
"The system already exists, the network has been established, but the speed in providing data, before, during (a disaster), and after that still needs to be continuously improved," she pointed out.
Adiningsih assessed that the use of innovative tools, such as artificial intelligence (AI), is also an opportunity to improve technical analysis and data processing.
Hence, BRIN held a workshop in the field of geospatial data utilization and mapping of disaster-prone areas in pursuit of stepping up disaster resilience in Indonesia.
In the activity, held under collaboration with the United Nations Economic and Social Commission for Asia and the Pacific (UN ESCAP), both domestic and foreign delegates were trained to optimize AI and networked with international satellite imagery data service providers, such as the Disasters Charter.
Such an endeavor enables Indonesia to utilize existing satellite imagery data so that it can analyze the impact of disasters swiftly and then submit pertinent information to the relevant authorities.
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