To-do

[ty-fel]

• Write code to get elevation data
  • Could use an elevation api or DTED 0 data for now
  • Overview of elevation data
  • DTED data
  • Airmap API, lets you specify two locations and get a grid of data. Provides 1 arc second of spatial resolution, which is equivalent to DTED 2 data!
    • Apply for a developer role at Airmap to get an API key. Update: Have the API key. Another Update: It works without an API key for some reason, so it isn't necessarily so far.
    • Test the Airmap API key to get a grid of elevation data
  • Waiting on SIBR grant to see about higher resolution DTED data
• Write code to generate the heatmap
  • Brainstorm other methods?
    • Current method is doing cross-correlation with a "U" shape, with the opening facing towards the group that the soldiers would want to communicate with
  • Write pseudo code for heatmap algorithm
    • The pseudo-code for the algorithm is relatively simple, but we need to figure out how we are going to pick the kernels
    • Added a google doc in the DoD RF/Data Science Team google drive folder for the pseudo code
  • Scipy 2d cross-correlation
  • Edit the code to return back locations that are not too close to one another
  • Create custom correlate function to change angle of kernel at each point
• Write code to interact with the frontend
  • Talk with SWE team and pick a framework to use
  • Waiting for the SWE team to figure out how the plugin is going to function before deciding how to write this code
  • Potential Options:
    • Flask
    • Django
• RF Classification portion
  • Looking into the code
  • Looking into the paper
  • Thinking about how to incorporate it into the app