-
Notifications
You must be signed in to change notification settings - Fork 4
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.
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
Help exporting the "SM" imagecollection. #1
Comments
Hi, I did not have this problem. I tried to run the script again, it still works. Did you run the original script or you changed to a bigger area (https://github.com/QianqianHan96/GSSM1km/blob/main/GSSM1km%20generation)? |
Greetings @QianqianHan96: I guess @jvaldiviesob is referring to the fact that when computing anything with variable SM, it runs out of memory. This might be due to the APILand1 ImageCollection, which makes any computation and export run out of memory. I've tried to upscale APILand, reducing it, but no matter what it always makes the classification run out of memory. The fact is that you rule out that predictor, makes the code run and export, but that's undesired. Therefore, that dataset should be checked. |
Hi Carlos, I just checked. APILand is okay. I can display it as well. I did not rule out this predictor, it was used in regression. |
Hi, I hope you're ok. I have a question. When we export the "SM" Imagecollection (line 517), Goggle Earth Engine gets stuck, whether it is exported as Asset or to Google Drive. Has it happened to you? Have you been able to solve it? Thanks in advance.
The text was updated successfully, but these errors were encountered: