extractParallelCrop: Extract values from raster and crop by extent

In dulvrq/ddl8s1ts: Map forest disturbance using Landsat 8 and Sentinel-1

Description

Extract values from raster and crop by extent

Usage

extractParallelCrop(
  ls_l8,
  l8_doys,
  e1,
  col_names = paste0("B", 2:7),
  max_cores
)

Arguments

ls_l8	a file list of Landsat 8 or Sentinel-1. All files should have the same extent.
l8_doys	a list of julian day of Landsat 8 or Sentinel-1 (numeric). This should be the same order and length as ls_l8.
e1	an extent of cropping.
col_names	names of bands. If L8, this should be B2, B3...B7. If S1, this should be VV and VH.
max_cores	numeric. Maximum numbers of cores used for parallel processing.

Value

a dataframe of data values for each location.

dulvrq/ddl8s1ts documentation built on May 2, 2021, 5:18 a.m.