Code from Sarah Wise dissertation entitled "Using Social Media Content To Inform Agent-based Models For Humanitarian Crisis Response." 2014
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Updated
Apr 9, 2015 - Java
Code from Sarah Wise dissertation entitled "Using Social Media Content To Inform Agent-based Models For Humanitarian Crisis Response." 2014
A Semi-Continuous Wildfire Model using the Heat Equation
Map of the Thomas Fire, using data from NASA's MODIS and VIIRS satellites
SAVeTrEE is a script within Google Earth Engine for classifying areas of vegetation mortality. It prompts the user for a year, duration, and spectral index for which a mortality map should be produced, then fits a trend line to an imagery time sequence of vegetative spectral index values calculated from Landsat multispectral data. The slope of t…
Predict Wildfire Intensity with Watson Studio Machine Learning
Exploring California Wildfire Data
Data Science implementations and models
Simulator based on the real physical phenomenons acting in a wildfire, deals with wind, heat capacities..an more.
Wildfire prediction machine learning model
This work explores the wildfire data collected over a period of time for the United States.
Agent-based modeling 2D wildfire suppression simulator tool built on the mesa framework in Python
An on-the-ground live feed of updates to keep you prepared for the worst!
Can we predict statistical causes of wildfires in the USA?
Soil Heating in Fire (SheFire) Model: Annotated .Rmd scripts and an R package to build and use a SheFire model for how different soil depths heat and cool during fires
Predicting wildfire risk using classification and regression tools. My final project as part of the Metis data science bootcamp.
Project Athena - Quadrupedal Objection Detection System
http://ibm.biz/cfcsc-wildfires - predict the wildfire/bushfire area for 7 regions in Australia for each day in February 2021
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