Overview of Work Flow

This repo contains a set of scripts that can produce a series of image pairs and scatter plots as well as CSV files containing cloud distance and height information.

The whole pipeline can be run via a shell script Findclouds.sh:

which calls the following python functions in order:

1. optical depth plotter.py Takes in camera (int) and date (str: 'YYYY-MM-DD') arguments

   • takes a set data path structure for GOES data and photos.
   • camera details currently set in script
   • known points set in script e.g. observatory
   • outputs pngs to images/FOV_on_optical_depth//camera//.png and csv of distances to cloud for each photo time results//Cloud_distnaces_camera_.csv

2. cloudtop_pixel_heights.py Takes in camera (int) and date (str: 'YYYY-MM-DD') arguments

   • takes a set data path structure for photos.
   • outputs csv of pixels of boxes round clouds for each photo to results//cloud_pixels_camera.csv, outputs boxed cloud image to images/cloud_top_heights//

3. calculate_heights.py Takes in camera (int) and date (str: 'YYYY-MM-DD') arguments

   • reads previous csv output and calculates height from pixel,distance,and camera info
   • camera details such as pitch and yaw from csv file provided, camera details such as focal length currently in script
   • outputs csv file to results// with height information

4. image_pairs.py Takes in camera (int) and date (str: 'YYYY-MM-DD') arguments

   • takes the output csv file from previous script and uses pixel and height information to annotated cloud heights on cloud pictures and pairs with nearest time FOV image
   • outputs images to images/image_pairs//camera/