Haze Gazer

Forest and peatland fires in Indonesia continue to affect many parts of Southeast Asia on what is now an annual basis, resulting in extensive environmental destruction, increasing health problems, school closures and transport cancellations.

Haze Gazer is a web‐based decision support system which harnesses multiple sources of data including open data (fire hotspot information from satellites and baseline information on population density and distribution) and citizen‐generated data (the national complaint system in Indonesia called LAPOR; citizen journalism video uploads to an online news channel; real‐time big data (text‐, image‐ and video‐oriented social media)), all already accessible through open APIs and public‐private partnerships, to provide insights on haze disaster dynamics for disaster management authorities. While fire hotspot data is prepared specifically for disaster management, most citizen‐generated big data is not. Haze Gazer uses advanced data analytics and data science to mine the multiple sources of data, to visualize the insights generated, and to provide a convenient user interface.

Real-time insights on fire and haze hotspots; Improved targeting of disaster management interventions; Increased community and national resilience.