modisfast (version 2.0.0)

mf_modisfast: Download (and possibly import) MODIS, VIIRS and GPM Earth Observation data

Description

Download and possibly import MODIS, VIIRS and GPM Earth Observation data quickly and efficiently. This function is a wrapper for mf_get_url, mf_download_data and mf_import_data. Whenever possible, users should prefer executing the functions mf_get_url, mf_download_data and mf_import_data sequentially rather than using this high-level function

Usage

mf_modisfast(
  collection,
  variables,
  roi,
  time_range,
  path = tempfile("modisfast_"),
  parallel = FALSE,
  verbose = "inform",
  import = TRUE,
  ...
)

Value

if the parameter import is set to TRUE, a terra::SpatRast

object ; else a data.frame providing details of the data downloaded (see output of mf_download_data).

Arguments

collection

Collection identifier, e.g. `"MOD11A1.061"`, `"VNP43MA4.002"` or `"GPM_3IMERGDF.07"`.

variables

One or more band names to retrieve, as returned by [mf_list_variables()].

roi

An `sf` polygon with an `id` column.

time_range

One date or two bounding dates.

path

string. Target folder for the data to download. Default : temporary folder.

parallel

boolean. Parallelize the download ? Default to FALSE

verbose

Character string: `"quiet"`, `"inform"` (default), or `"debug"`. Controls progress messages; `"debug"` also shows request details.

import

boolean. Import the data as a SpatRast object ? default TRUE. FALSE will download the data but not import them it in R.

...

Further arguments to be passed to mf_import_data

See Also

mf_get_url, mf_download_data, mf_import_data

Examples

if (FALSE) {

### Set-up parameters of interest
coll <- "VJ121A2.002"

bands <- c("LST_Day_1KM", "LST_Night_1KM")

time_range <- as.Date(c("2026-01-01", "2026-01-30"))

roi <- sf::st_as_sf(
  data.frame(
    id = "roi_test",
    geom = "POLYGON ((-5.82 9.54, -5.42 9.55, -5.41 8.84, -5.81 8.84, -5.82 9.54))"
  ),
  wkt = "geom", crs = 4326
)

### Download and import the data
Sys.setenv(EARTHDATA_TOKEN = "your Earthdata bearer token")
modis_ts <- mf_modisfast(
  collection = coll,
  variables = bands,
  roi = roi,
  time_range = time_range
 )

### Plot the data
terra::plot(modis_ts)
}