HakamShams/LOAN
[IEEE TGRS'23] Location-aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting
This tool helps fire behavior analysts and forest management professionals predict wildfire danger. By processing geospatial data, it generates detailed forecasts of where and when wildfires are likely to ignite and spread. The output provides critical insights for proactive fire prevention and resource deployment.
No commits in the last 6 months.
Use this if you need to accurately forecast wildfire danger by analyzing complex spatiotemporal data.
Not ideal if you need a simple, real-time fire detection system rather than a predictive forecasting model.
Stars
18
Forks
1
Language
Python
License
MIT
Category
Last pushed
Apr 07, 2025
Commits (30d)
0
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