getWindowGCVIs_fromFile: Extract the maximum index value by crop window for each point...
In LobellLab/SCYMr:

Reduces a time series of satellite observations for each point to a maximum value for the specified windows. Requires readr, lubridate, and dplyr. Initial setup is for exports from Jill's GEE script '02.1x_satelliteSampler_forScymOffline'

1 2	getWindowGCVIs_fromFile(df_file, datasource, maskClouds = FALSE, w1_doy1 = 165, w1_doy2 = 200, w2_doy1 = 201, w2_doy2 = 240)

`df_file`	Data.frame containing a veg index of interest
`datasource`	"Landsat" or "Sentinel"
`maskClouds`	should cloud qa be applied? defaults to FALSE
`w1_doy1`	first day of first window; default is US maize
`w1_doy2`	last day of first window; default is US maize
`w2_doy1`	first day of second window; default is US maize
`w2_doy2`	last day of second window; default is US maize

# to apply to a list of files:
landsatFiles <- list.files(gDrive, pattern=landsatBaseName, full.names = TRUE)
# check file sizes and drop empty exports
landsatFilesb <- landsatFiles[sapply(landsatFiles, file.size) > 2]
# load/get window GCVIs - default windows
landsat_gcvi <- purrr::map_df(landsatFilesb, getWindowGCVIs_fromFile,
                               datasource = "Landsat", maskClouds = TRUE)