Error in st_as_sf when converting stars object with interval time dimension from cube class

[PPaccioretti]

I encountered an issue when attempting to convert a stars object, which was created from a cube class object, to an sf object. The error occurs during the conversion process and seems to be related to the interval class in the time dimension.

library(gdalcubes)
library(stars)
#> Loading required package: abind
#> Loading required package: sf
#> Linking to GEOS 3.12.1, GDAL 3.8.4, PROJ 9.3.1; sf_use_s2() is TRUE

# create image collection from example Landsat data only
if (!file.exists(file.path(tempdir(), "L8.db"))) {
  L8_files <- list.files(system.file("L8NY18", package = "gdalcubes"),
                         ".TIF", recursive = TRUE, full.names = TRUE)
  create_image_collection(L8_files, "L8_L1TP", file.path(tempdir(), "L8.db"), quiet = TRUE)
}

L8.col = image_collection(file.path(tempdir(), "L8.db"))
v = cube_view(extent=list(left=388941.2, right=766552.4,
                          bottom=4345299, top=4744931, t0="2018-04", t1="2018-04"),
              srs="EPSG:32618", nx = 497, ny=526, dt="P1M")

# Transform cube to stars
# Suppress some warnings about not all variables share the same primary dimension
my_stars <- st_as_stars(select_bands(raster_cube(L8.col, v), c("B04", "B05"))) |>
  suppressWarnings()

my_stars
#> stars object with 3 dimensions and 2 attributes
#> attribute(s):
#>    Min. 1st Qu. Median     Mean 3rd Qu.  Max.  NA's
#> 4  6119    6928   8717 11063.82   10620 53002 99070
#> 5  5564    6411  13519 14300.35   17073 57497 99070
#> dimension(s):
#>      from  to  offset  delta                refsys point
#> x       1 497  388941  759.8 WGS 84 / UTM zone 18N    NA
#> y       1 526 4744931 -759.8 WGS 84 / UTM zone 18N    NA
#> time    1   1      NA     NA               POSIXct FALSE
#>                       values x/y
#> x                       NULL [x]
#> y                       NULL [y]
#> time [2018-04-01,2018-05-01)

st_as_sf(my_stars)
#> Error in names(cargs) <- nmc: 'names' attribute [2] must be the same length as the vector [1]

By removing the interval class from the time dimension, the conversion to sf works:

# Remove interval class from time dimension
vals <- attr(my_stars, "dimensions")$time$values
class(vals) <- 'list'
attr(my_stars, "dimensions")$time$values = vals
# Transform to sf
st_as_sf(my_stars)
#> Simple feature collection with 162352 features and 2 fields
#> Geometry type: POLYGON
#> Dimension:     XY
#> Bounding box:  xmin: 388941.2 ymin: 4345299 xmax: 766552.4 ymax: 4744931
#> Projected CRS: WGS 84 / UTM zone 18N
#> First 10 features:
#>        4     5                       geometry
#> 1   8225 13965 POLYGON ((475556.2 4740372,...
#> 2   8225 13965 POLYGON ((476316 4740372, 4...
#> 3   8225 13965 POLYGON ((477075.8 4740372,...
#> 4   8225 13965 POLYGON ((477835.6 4740372,...
#> 5  22048 24057 POLYGON ((478595.4 4740372,...
#> 6  22048 24057 POLYGON ((479355.1 4740372,...
#> 7  22048 24057 POLYGON ((480114.9 4740372,...
#> 8  22048 24057 POLYGON ((480874.7 4740372,...
#> 9   8225 13965 POLYGON ((475556.2 4739613,...
#> 10  8225 13965 POLYGON ((476316 4739613, 4...

^{Created on 2024-08-22 with reprex v2.1.0}

Session info

sessioninfo::session_info()
#> ─ Session info ───────────────────────────────────────────────────────────────
#>  setting  value
#>  version  R version 4.4.1 (2024-06-14 ucrt)
#>  os       Windows 10 x64 (build 19045)
#>  system   x86_64, mingw32
#>  ui       RTerm
#>  language (EN)
#>  collate  English_United States.utf8
#>  ctype    English_United States.utf8
#>  tz       America/Chicago
#>  date     2024-08-22
#>  pandoc   3.2 @ C:/Program Files/RStudio/resources/app/bin/quarto/bin/tools/ (via rmarkdown)
#> 
#> ─ Packages ───────────────────────────────────────────────────────────────────
#>  package     * version date (UTC) lib source
#>  abind       * 1.4-5   2016-07-21 [1] CRAN (R 4.4.0)
#>  class         7.3-22  2023-05-03 [2] CRAN (R 4.4.1)
#>  classInt      0.4-10  2023-09-05 [1] CRAN (R 4.4.0)
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#>  evaluate      0.24.0  2024-06-10 [1] CRAN (R 4.4.0)
#>  fastmap       1.2.0   2024-05-15 [1] CRAN (R 4.4.0)
#>  fs            1.6.4   2024-04-25 [1] CRAN (R 4.4.0)
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#>  sessioninfo   1.2.2   2021-12-06 [1] CRAN (R 4.4.0)
#>  sf          * 1.0-16  2024-03-24 [1] CRAN (R 4.4.0)
#>  stars       * 0.6-5   2024-04-04 [1] CRAN (R 4.4.0)
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#> 
#>  [1] C:/Users/ppaccioretti2/AppData/Local/R/win-library/4.4
#>  [2] C:/Program Files/R/R-4.4.1/library
#> 
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