Find tiles of a given ROI and Grid System

Given an ROI and grid system, this function finds the intersected tiles and returns them as an SF object.

Usage

sits_roi_to_tiles(roi, crs = NULL, grid_system = "MGRS")

Arguments

roi

Region of interest (see notes below).

crs

Coordinate Reference System (CRS) of the roi. (see details below).

grid_system

Grid system to be used for the output images. (Default is "MGRS")

Value

A sf object with the intersect tiles with three columns tile_id, epsg, and the percentage of coverage area.

Note

To define a roi use one of:

• A path to a shapefile with polygons;

• A sfc or sf object from sf package;

• A SpatExtent object from terra package;

• A named vector ("lon_min", "lat_min", "lon_max", "lat_max") in WGS84;

• A named vector ("xmin", "xmax", "ymin", "ymax") with XY coordinates.

Defining a region of interest using SpatExtent or XY values not in WGS84 requires the crs parameter to be specified.

The grid_system parameter allows the user to reproject the files to a grid system which is different from that used in the ARD image collection of the could provider. Currently, the package supports the use of MGRS grid system and those used by the Brazil Data Cube ("BDC_LG_V2" "BDC_MD_V2" "BDC_SM_V2").

Author

Felipe Carvalho, felipe.carvalho@inpe.br

Felipe Carlos, efelipecarlos@gmail.com

Examples

if (sits_run_examples()) {
# Defining a ROI
roi <- c(
  lon_min = -64.037,
  lat_min = -9.644,
  lon_max = -63.886,
  lat_max = -9.389
)
# Finding tiles
tiles <- sits_roi_to_tiles(roi, grid_system = "MGRS")
}