Tidy STAC Workflows for R
Wraps the ‘rstac’ package with a pipe-friendly, tidy API. All results return tibbles instead of nested lists. Ships with a catalog registry of known STAC endpoints including Planetary Computer, Earth Search, and USGS, while supporting any STAC API URL.
# Install from CRAN (when available)
install.packages("stacr")
# Or install the development version from GitHub
# install.packages("pak")
pak::pak("null-island-labs/stacr")library(stacr)
# Browse known STAC catalogs
stac_catalogs()
#> # A tibble: 3 × 3
#> name url provider
#> <chr> <chr> <chr>
#> 1 Earth Search https://earth-search.aws.element84.com/v1 Element 84
#> 2 Planetary Computer https://planetarycomputer.microsoft.com/api/st… Microsoft
#> 3 USGS https://landsatlook.usgs.gov/stac-server USGS
# Search for Sentinel-2 imagery
items <- stac_search(
url = "https://earth-search.aws.element84.com/v1",
collections = "sentinel-2-l2a",
bbox = c(-84.5, 38.0, -84.3, 38.2),
limit = 5
)
items
#> # A tibble: 5 × 6
#> id collection datetime bbox geometry assets
#> <chr> <chr> <chr> <list> <list> <list>
#> 1 S2B_16SGH_20260304_0_L2A sentinel-2-l2a 2026-03-04T16:32… <dbl> <named> <chr>
#> …| Function | Description |
|---|---|
stac_catalogs() |
Browse known STAC endpoints (offline) |
stac_collections() |
List collections from any STAC API |
stac_search() |
Search for items by collection, bbox, datetime |
stac_items() |
List items in a specific collection |
stac_download() |
Download assets to local files |
stac_to_cube() |
Bridge to gdalcubes for raster analysis |
stac_map() |
Interactive leaflet map of item footprints |
MIT
Chris Lyons — Null Island Labs
Part of the Null Island Labs geospatial toolkit