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error in extract_buffered_coords #16
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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, |
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:
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.
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