Open JmeCS opened 6 years ago
@JmeCS awesome! Thanks for putting all this together! I made some minor comments but higher level ones would be:
Using the Earth on AWS platform and some of the tools we’ve built to easily access and analyze satellite imagery, we’re exploring possible approaches to overcoming problems inherent to crop classification in developing countries.
so perhaps:
In partnership with the Earth on AWS fellowship program and using the Earth on AWS platform, I am working with Development Seed to explore possible approaches to overcoming problems inherent to crop classification in developing countries.
(that could still use some tweaking, admittedly)
@ianschuler @abarciauskas-bgse @matthewhanson
Thanks very much for the edits and comments.
I've completed a second draft with a much less technical and focused introductory section. Link:
I'm still not especially happy with the title. Any suggestions there would be appreciated. I'll get it published once I have sign-off from @ianschuler
Predicting crop estimates worldwide A novel deep learning approach to predict crop types from open satellite imagery.
^ still needs some love, but maybe better? Don't let me bottleneck this. Look for Calliope in @dereklieu @drewbo @matthewhanson
Please let me know if a Github Issue is not the correct way to track this.
Link to draft of blog post 1 for this project: Draft
I'm not sure how well Medium tracks changes but you should be able to leave notes and make edits.
Please confirm once you've it looked over (if you want to). If you do not plan on making edits, let me know. I'll publish once all feedback is received and incorporated.
@ianschuler @abarciauskas-bgse @matthewhanson