This is a take-home exercise for Raincoat. In Raincoat, we often work with remote sensing data in order to understand the world around us.
- Fork this repository
- Use directory structure prepared for you to implement your solution
- Use Google to find answers to questions you don't know! At the end of the day, this how we solve the problems.
- Describe your approach in a markdown file in the
SOLUTION.mdfile
We understand that this is a take-home exercise with open-ended questions. We will be evaluating your submission based on the following criteria:
- For more candidates with scientific backgrounds, we will be looking for a strong understanding of the scientific concepts behind the questions. For candidates with more engineering backgrounds, we will focus on a strong understanding of the engineering concepts behind the questions.
- We will be looking for an understanding of the scientific Python ecosystem, including libraries such as
xarray,numpy,pandas,scipy,matplotlib,scikit-learn,rasterio,geopandas,shapely,fiona, etc.