Devlog 7: i fixxed some memory issues like a leak and just adding a garbage collector and clearing cache, also fixed ML call confidence was incorrect i think so i changed to a sigmoid, i also added EVI to differentiate vegetation and added a forest mask so NVDI should ignore if grasslands vanishes or similar. also added RGB bands separately so i can show the before and after on frontend as other bands wouldnt help + some scaling so they SHOULD appear correctly. added a health endpoint for ram and cpu usage.

Some Issues: i didn’t really need to optimize memory i didn’t think nest would have resources like it doe so i was trying to optimize for free back ends with limited ram, downtime, and such, but nest has all of that but still good to not waste memory. Second more important issue is that Brazil has a lot of clouds, so does the whole world but I’m starting in Brazil, and that will crash/ ruin data because cloud mask will just return a bunch of 0s when there are clouds, so currently i decided to do a median composite over a month, but that’s not good for real time so ill add sentile-1 to go through clouds, but ill need to research how to pair them together well and how sentile-1 can differentiate vegetation or know if they are cut down. And I have yet to plug in api to frontend so still filler data: