What I learned from this video is that: I'm still in my pre-internet era using ArcMap and ERDAS for my project while this man straight up doing Tony Stark and Jarvis thing.
I am working on a megalithic project, primarily in Google Earth Pro. I have found some really interesting connections linking quite a few megalithic sites (essentially using geodesic "planes", as best as I can inside of the base G.E.P. to draw "lines" on the surface of the earth) to accurately link these ancient sites (it's shocking how accurate these links are). Would it be difficult to implement this data so that AI could be used to potentially find other megalithic sites? I am finding a lot of megalithic sites along these lines. However, I feel like I am missing quite a few connections and want to double-check my work and also make sure it's as accurate as it can be. Thank you, I know these questions are not exactly related to your great video.
great tutorial, I'm a back-end developer and have recently found chatgpt a let's say cool assistant in different areas however in many cases it may get confused and return either wrong or unwanted results. in terms of GEE I think it still needs to be trained.
You can try something along these lines in chatGPT: - I want to make a pm2.5 map in earth engine, and make a median map for Hong Kong for 2020, can you write the javascript code? Sometimes it is difficult for chatGPT to find the right data collection, you can search the data collection in GEE yourself and suggest them to chatGPT in your next request, for example: - use this data collection: ee.ImageCollection("ECMWF/CAMS/NRT"), the pm 2.5 layer name is: particulate_matter_d_less_than_25_um_surface
