WIFIRE is an integrated system for wildfire analysis, with specific regard to changing urban dynamics and climate. The system integrates networked observations such as heterogeneous satellite data and real-time remote sensor data, with computational techniques in signal processing, visualization, modeling, and data assimilation to provide a scalable method to monitor such phenomena as weather patterns that can help predict a wildfire's rate of spread. You can read more about WIFIRE

make sure to have python 3 and jupyter notebook installed, python 2 will also word

• Clone the repository

  git clone https://github.com/GagnDeep/wifire-image-analysis.git

• Installing the required dependencies

  pip install numpy imageio matplotlib

  OR (if using anaconda distribution)

  conda install numpy imageio matplotlib

• Starting the jupyter notebook server

  cd wifire-image-analysis
  jupyter notebook

• numpy-quick-intro.ipynb provides quick introduction to numpy
• /wifire/ contain dataset sample image
• wifire-image-analysis.ipynb actual image data analysis