Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.
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Updated
May 4, 2021 - Jupyter Notebook
Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.
a service that alerts people in California about evacuation orders with regards to the California Forest Fires
Environment day game about forest fires.
A machine learning project for predicting forest fire severity using weather data and regression-based models. Built as part of the AAI501 course at the University of San Diego.
Base de dados sobre mudanças climáticas na persepção dos brasileiros
Time-to-ignition of various mediterranean forest fuels versus their moisture content. Visualization of the experimental data provided in: Dimitrakopoulos, A.P. and Papaioannou, K.K. (2001) “Flammability Assessment of Mediterranean Forest Fuels,” Fire Technology, 37(2), pp. 143–152. Available at: https://doi.org/10.1023/a:1011641601076.
Predicting and Modelling Forest Fires
This project relates to a methodological report on canton Bern forest fire modelling and mitigation strategies.
TFM de inteligencia artificial para predecir la severidad en incendios forestales utilizando datos históricos y modelos predictivos avanzados.
calculate 3D polylines that run up the slope following the direction of maximum gradient and their intesections with forest polygons
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