0

I am using the package rgee in R to process satellite data via GEE.

I have a Feature Collection: Counties<-ee$FeatureCollection('users/stephherbstritt/Counties')

And an image: corn16<-ee$Image('users/stephherbstritt/corn2016')

I filtered the Feature Collection to one county boundary.

AOI <- Counties$ filter( ee$Filter$eq( 'COUNTY_NAM', 'MONTOUR'))

Then I clipped the AOI to the image. shp16<-corn16$clip(AOI)

Now I would like to convert the clipped image (shp16) to a feature so I can use it as the bound to filter the bounds of a request to get satellite data.

I tried:

 geometry = AOI, scale = 30, geometryType = "polygon", eightConnected = FALSE, labelProperty = "zone", reducer = ee$Reducer$count() )``` But I am getting an error when I try to map the result (test) to check it. ERROR: ``` Error in py_call_impl(callable, dots$args, dots$keywords) : EEException: Image.reduceToVectors: Need 1+1 bands for Reducer.count, image has 1.```
Improve this question

1 Answer 1

Reset to default
0

I ended up trying:

shp16a<-shp16$reduceToVectors( scale= 10, geometry= AOI, geometryType= 'polygon', maxPixels= 1e8)

And it seems to work but later in the code, I exceed the EE user memory limit when I try to calculate the means of a band in my area. So I think there must be a better way to do this?

Error in py_call_impl(callable, dots$args, dots$keywords) : EEException: User memory limit exceeded.
Improve this answer

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.