Open fernandabiologia opened 1 month ago
Hi Fernanda
This is an error that occurs when no data are available on GEE for the date given. Would you be able to send me a small snippet of reproducible code and your occurrence data so that I can see what might be happening?
Best wishes, Rachel
Hi Rachel,
That's weird because my data is within the window of available data. Anyway, I sent code and data to your email.
Thank you very much,
Fernanda.
Hi Rachel,
I've been trying to figure out what's going on and it seems the function is not being able to handle the layer "GOOGLE/DYNAMICWORLD/V1". Looking at the layer example (https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_DYNAMICWORLD_V1#code-editor-javascript) it seems the layer needs to be filtered with a start and end date.
My partner (software developer but not in R :) was helping me and he created a copy of the function to pass start and end date, and we got passed the initial error, but got a new error from ee_as_rast:
To avoid memory excess problems, ee_as_rast will not build Raster objects for large images. Error in `map()`:
ℹ In index: 1.
Caused by error in `.f()`:
! Can't `drive_get()` a file when `id` is `NA`.
I think it might be because the layer resolution is too high (10m). I sent you some data and code and I was wondering if you could have a look at it.
Thanks,
Fernanda.
Hi Rachel,
I'm trying to extract land cover predictors from the layer in the link below, but I'm getting an error message:
"ERROR in Earth Engine servers: Can't get band number 0. Image has no bands. ERROR :ee_monitoring was forced to stop before getting results"
I also get a warning:
"Warning message: In rgee::ee_as_raster(image = image_collection_reduced, container = "dynamicSDM_download_bucket", : ee_as_raster will be removed in version 1.2.0. Please note that you can use the ee_as_rast instead, which is compatible with terra packages.
https://developers.google.com/earth-engine/datasets/catalog/GOOGLE_DYNAMICWORLD_V1#colab-python
Total available tree cover
extract_buffered_coords(occ.data = breed_dataset, datasetname = "GOOGLE/DYNAMICWORLD/V1", bandname = "trees", spatial.res.metres = 10, GEE.math.fun = "sum", moving.window.matrix = matrix, user.email = user.email, resume = T, save.method = "split", temporal.level = "year", categories = 1, agg.factor = 50, varname = variablenames[11], save.directory = save_directory_breed_resource)
I can send you some data and code if it helps.
Thanks,
Fernanda.