ee_extract() function fails : "Error in ee$Image$reduceRegions"

[AlexCarrascosa]

Hi there!

I'm using rgee to obtain historical values from MODIS images in specific locations. I include the output of ee_Initialize() below just to show that rgee is configured correctly and the software versions (Python version is 3.13.5).

── rgee 1.1.7.9 ───────────────────────────────────────────────────────────────── earthengine-api 1.6.4 ──
✔ user: XXXXXXX@gmail.com
✔ Google Drive credentials: FOUND
✔ GCS credentials: FOUND
✔ Initializing Google Earth Engine: DONE!
✔ Earth Engine account: projects/ee-XXXXXX/assets/Par_modis
✔ Python Path: C:/Users/XXXX/AppData/Local/r-miniconda/envs/rgee/python.exe
────────────────────────────────────────────────────────────────────────────────────────────

The ImageCollection() function seems to work well, but I start having problems when I try to extract values from raster images based on the locations of vectorial points. I always recibe the error "Error in ee$Image$reduceRegions(image = img, collection = ee_y, reducer = fun, : RuntimeError: argument was not used (image = img)"

 PAR_images <- ee$ImageCollection("MODIS/062/MCD18C2")$
 filterDate(start, end)$
    select(c("GMT_0000_PAR", "GMT_0300_PAR", "GMT_0600_PAR", "GMT_0900_PAR",
            "GMT_1200_PAR", "GMT_1500_PAR", "GMT_1800_PAR", "GMT_2100_PAR"))

 coords <- st_read('C:/-------------/Coords.shp') %>% select(geometry)
 coords_ee <- sf_as_ee(coords)

 img1 <- PAR_images$first()$select("GMT_1200_PAR")
 PAR_values <- rgee::ee_extract(x = img1, y = coords_ee, scale = 1000, sf = F, via = "drive")

   --- Error in ee$Image$reduceRegions(image = img, collection = ee_y, reducer = fun, :
         RuntimeError: argument was not used (image = img)
         Run `reticulate::py_last_error()` for details. ----

I always get the same error, no matter what I change... It doesn't matter if I use via = drive or via = gcs. The same thing happens if I use other types of image collections, such as Sentinel2 images. And it's not related to the shapefile point file either, because I've even tried loading some coordinates manually. Below is a map just to show that both the MODIS image and the vector layer of points open correctly.

Map$addLayer(PAR_images$first()$select("GMT_1200_PAR"), imageVisParam, "PAR 12:00 (first image)")
Map$addLayer(coords_ee, list(color = "black", pointSize = 3), "Sampling Points")

[MatthieuStigler]

hi, it might be helpful if you provide a fully reproducible example, i.e. replace coords <- st_read('C:/-------------/Coords.shp') %>% select(geometry) with a built-in geometry?

[Wycology]

@MatthieuStigler Thank you for willingness to help.
I am receiving similar error. Here is a reproducible example from example that comes with the rgee package, ?ee_extract:

Error in ee$Image$reduceRegions(image = img, collection = ee_y, reducer = fun, :
RuntimeError: unused argument (image = img)
Run reticulate::py_last_error() for details.

library(rgee)
library(sf)

ee_Initialize(gcs = TRUE, drive = TRUE)

# Define a Image or ImageCollection: Terraclimate
terraclimate <- ee$ImageCollection("IDAHO_EPSCOR/TERRACLIMATE") %>%
  ee$ImageCollection$filterDate("2001-01-01", "2002-01-01") %>%
  ee$ImageCollection$map(
    function(x) {
      date <- ee$Date(x$get("system:time_start"))$format('YYYY_MM_dd')
      x$select("pr")$rename(date)
    }
  )

# Define a geometry
nc <- st_read(
  dsn = system.file("shape/nc.shp", package = "sf"),
  stringsAsFactors = FALSE,
  quiet = TRUE
)


#Extract values - getInfo
ee_nc_rain <- ee_extract(
  x = terraclimate,
  y = nc["NAME"],
  scale = 250,
  fun = ee$Reducer$mean(),
  sf = TRUE
)

# Extract values - drive (lazy = TRUE)
ee_nc_rain <- ee_extract(
  x = terraclimate,
  y = nc["NAME"],
  scale = 250,
  fun = ee$Reducer$mean(),
  via = "drive",
  lazy = TRUE,
  sf = TRUE
)
ee_nc_rain <- ee_nc_rain %>% ee_utils_future_value()

# Extract values - gcs (lazy = FALSE)
ee_nc_rain <- ee_extract(
  x = terraclimate,
  y = nc["NAME"],
  scale = 250,
  fun = ee$Reducer$mean(),
  via = "gcs",
  container = "rgee_dev",
  sf = TRUE
)