I am doing land-cover classification for mangroves in the Gulf of Mexico based on my lab's previous work on a more general classification across the southeast US wetlands (GEE app & details here).

I think there is a lot of publication potential here but I prefer to focus on the code. Others in my lab are busy on other projects so I figured I would reach out into the reddit. Publication topics could include:

1. comparison of different classifier methods
2. overview of the value different datasets bring to mangrove classification
3. can we even classify mangrove species with extant data?
4. hey look at this cool new dataset we made
5. novel application of a classifier to this domain/dataset

Please comment here if you:

1. want to head a publication. I don't care where we publish, you can have 1st author, and the topic is highly flexible.
2. have interest in {mangroves || remote sensing || machine learning}

I am a software engineer w/ a PhD working for a University remote sensing lab and believe that universities ought to collaborate more with extra-academic entities and in unconventional ways. So don't hold back if you aren't (yet) a "researcher". More info RE me at tylar.info.

My lab is using a 2m DEM and terabytes of 2m multispectral WorldView imagery, so just using that is novel enough to justify publication in my opinion.

I am also open to creative advice on how to better find collaborators since I am not fully satisfied with the typical academic approach of conference-hopping. I am posting on reddit about this so you know I am getting desperate.