Machine Learning in Python to assess fire risk in satellite imagery and environmental conditions.
-
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
Deep learning for Synthetic Aperture Radar(SAR) and Radiometry data. An Ensemble Convolutional Neural Network workflow is implemented with data acquisition, processing, labelling, creating model, training model and launching a model
Environment day game about forest fires.
Base de dados sobre mudanças climáticas na persepção dos brasileiros
Predicting and Modelling Forest Fires
This project relates to a methodological report on canton Bern forest fire modelling and mitigation strategies.
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.
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
Add a description, image, and links to the forest-fires topic page so that developers can more easily learn about it.
To associate your repository with the forest-fires topic, visit your repo's landing page and select "manage topics."