Package 'starc'

Compute spatial window for location

Description

Converts lon/lat + buffer to:

• UTM CRS (appropriate zone)

• Projected extent (xmin, xmax, ymin, ymax)

• Lonlat extent (lonmin, lonmax, latmin, latmax)

Usage

compute_spatial_window(locations)

Arguments

locations

Data frame with lon, lat, radiusx, radiusy

Value

Data frame with added spatial fields

---

Consolidate all Parquet files with deduplication

Description

Consolidate all Parquet files with deduplication

Usage

consolidate_assets_parquet(
  parquet_dir = "_targets/assets_parquet",
  parquet_files = NULL,
  dedup_keys = c("SITE_ID", "datetime")
)

Arguments

parquet_dir	Directory containing Parquet files
parquet_files	Character vector of Parquet file paths (from targets)
dedup_keys	Character vector of columns to deduplicate on

Value

Tibble with consolidated, deduplicated assets

---

Define test location (Noville Peninsula)

Description

Define test location (Noville Peninsula)

Usage

define_test_location()

Value

Data frame with single location

---

Get assets from pre-built query URLs

Description

This was born as hrefs from scene

Usage

get_assets_from_urls(query_urls)

Arguments

query_urls

Query URL(s) from sds::stacit()

Value

Tibble with asset URLs and metadata

---

Internal: Fetch single STAC query with pagination

Description

This was born as hrefs0 from scene

Usage

get_assets_single(query_url)

Arguments

query_url

STAC query URL

Value

Tibble with assets + metadata

---

Determine UTM point from lon/lat

Description

Determine UTM point from lon/lat

Usage

mk_utm_centre(lon, lat)

Arguments

lon	Longitude
lat	Latitude

Value

dataframe with columns x, y in UTM

---

Determine UTM CRS from lon/lat

Description

Determine UTM CRS from lon/lat

Usage

mk_utm_crs(lon, lat)

Arguments

lon	Longitude
lat	Latitude

Value

EPSG code as string

---

Prepare STAC query

Description

Prepare STAC query

Prepare STAC query

Usage

prepare_query(spatial_window, start_date, end_date, collections, provider)

prepare_query(spatial_window, start_date, end_date, collections, provider)

Arguments

spatial_window	Spatial window with bbox
start_date	Start date
end_date	End date

Value

Query specification

Query specification

---

Internal: Extract assets and metadata from single feature

Description

Internal: Extract assets and metadata from single feature

Usage

process_feature(feature)

Arguments

feature

Single STAC feature (one row from features data frame)

Value

Named list with assets + metadata

---

Sanitize location name for filesystem

Description

Sanitize location name for filesystem

Usage

sanitize_location(location)

---

Write assets table to Parquet file (parallel-safe)

Description

Write assets table to Parquet file (parallel-safe)

Usage

write_assets_to_parquet(
  assets_table,
  output_dir = "_targets/assets_parquet",
  collection = NULL
)

Arguments

assets_table	Tibble with assets for ONE location (from get_assets) Should have: SITE_ID, location_id, solarday, scene_id, datetime, cloud_cover, red, green, blue, nir, scl, etc.
output_dir	Directory to write Parquet files
collection	Optional collection name for subfolder

Value

Character. Path to written Parquet file

---

Write consolidated assets to single Parquet file

Description

Write consolidated assets to single Parquet file

Usage

write_consolidated_assets(
  assets_consolidated,
  output_path = "_targets/assets_consolidated.parquet"
)

Arguments

assets_consolidated	Consolidated assets tibble
output_path	Path to write final Parquet file

Value

Character. Path to written file

---