Enhancing Long Term Preparedness for Forest Fires in Bhutan with Open Source
summary
Country‑scale open source geospatial tool maps where fires will be most severe and which buildings face exposure by combining a Forest Fire Severity Index and a Forest Fire Exposure Index. It uses deep learning on a Sentinel mosaic, topography, 20 years of climate data and building footprints from OpenStreetMap and Planetary Computer, runs in Python with an ESRI web front end, covers all of Bhutan, delivers one software plus six knowledge products, trains agencies and reproduces severity where burn scars show high loss.
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chapters (7)
- 0:00Introduction and project background
- 2:08Project objectives and partners
- 3:41Fire severity model methodology
- 7:37Exposure analysis and mitigation strategies
- 10:58Sustainability and scalability of the model
- 13:11Portal demonstration and cultural context
- 15:44Q&A session
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