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Disaster risk management comprises the whole systematic and conceptual framework of measures that are closely linked to each other and that are taken before a natural hazard occurs with the aim of limiting or avoiding adverse impacts of a natural event on society. The central aim is the reduction of the disaster risk for people living in the regions that are exposed to natural hazards. Reducing the disaster risk involves, firstly, reducing the vulnerability of the population itself to events such as floods and storms and, secondly, preventing the occurrence of new hazards, such as landslides caused by inappropriate land use or floods caused by deforestation along the upper reaches of rivers.
Pre-Disaster Analytics – Predict and Mitigate Before Disaster
Paques utilizes advanced data and analytical tools to predict potential disasters and mitigate their impact. By analyzing historical data, weather patterns, and environmental changes, Paques helps in developing effective pre-disaster mitigation strategies.
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Post-Disaster Analytics – Examine and Interpret Data after Disaster
After a disaster, Paques systematically examines and interprets collected data to assess damage, understand its impact, and support recovery efforts. This helps in efficient resource deployment and recovery planning.
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Disaster Recovery Area Analysis with Satellite Imagery (AI/ML & Computer Vision)
Using satellite data, Paques assesses and improves the resilience of areas to natural disasters. AI/ML and computer vision technologies identify and monitor environmental changes and potential hazards.
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EWS (Early Warning System) and Prediction of Flood and Wildfire
Paques provides early warning systems to detect potential hazards and provide timely information to prevent or reduce the impact on lives, property, and the environment.
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Broadcaster Channels & Integration with Other Systems
Paques integrates with various data sources, both internal and external, to enrich disaster analytics. This includes social media data, online media data, and other relevant sources.
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Social and Online Media Disaster Analysis
Paques analyzes social and online media to provide real-time insights into disaster situations. This helps in understanding public sentiment, identifying urgent needs, and improving response strategies.
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Disaster Prone Area Analysis (AI/ML and Computer Vision)
AI/ML and computer vision technologies identify and assess areas vulnerable to natural disasters, such as floods, and wildfires.
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Geolocation Disaster Area Analytic
Using GIS analysis and spatial data, Paques helps in understanding, predicting, and managing the impact of natural and man-made disasters.
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Menara MTH, 18th Floor
Jl. M.T Haryono Kav. 23,
Jakarta 12820 Indonesia
+6221-8378 2364
info@paques.id
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