New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Workflow 2) Create an optimal “image” for tracking #10

Open

lauracrews opened this issue Aug 9, 2023 · 0 comments

Collaborator

lauracrews commented Aug 9, 2023 •

edited

Loading

Goal: Create a sensible image from the spectral band data

What should our method do?

Allow us to see ice
Possibly uses a cloud mask to smartly deal with cloudy pixels

How do we do it?

For the multispectral (IMG and MOD) data, we open and possibly combine a subset of the available bands within the netCDF files
For the day-night band data, there is only one band which is more like grayscale

What questions or issues remain?

For the multispectral (IMG and MOD, not DNB) files, is there an optimal single band or do we first want to create a true color image? For tracking, we may be working with grayscale images anyway
For creating true color, is this Satpy example helpful? There is also this Satpy tutorial and associated github

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment