The data includes the following columns: "longitude", "latitude", "day_of_year", "Date", "hour", "minute", "second" and "RGT". The "RGT" column consists of 1387 Reference Ground Tracks (RGTs) for the IceSat-2 Cycle 14 (from 'December 22, 2021' to 'March 23, 2022')
data(RGT_cycle_14)An object of class data.table (inherits from data.frame) with 131765 rows and 8 columns.
The following code snippet shows how to come to the "RGT_cycle_14" data. The same can be done with any of the available RGT Cycles. For the following code I utilized 8 threads to speed up the pre-processing of the downloaded .kml files (the code takes approximately 15 minutes on my Linux Personal Computer),
require(IceSat2R) require(magrittr) require(sf)
avail_cycles = available_RGTs(only_cycle_names = TRUE) avail_cycles
idx_cycle = 14
choose_cycle = avail_cycles[idx_cycle] choose_cycle
res_rgt_many = time_specific_orbits(RGT_cycle = choose_cycle, download_method = 'curl', threads = parallel::detectCores(), verbose = TRUE)
RGT_cycle_14 = sf::st_coordinates(res_rgt_many) colnames(RGT_cycle_14) = c('longitude', 'latitude') RGT_cycle_14 = data.table::data.table(RGT_cycle_14) RGT_cycle_14$day_of_year = res_rgt_many$day_of_year RGT_cycle_14$Date = as.Date(res_rgt_many$Date_time) RGT_cycle_14$hour = lubridate::hour(res_rgt_many$Date_time) RGT_cycle_14$minute = lubridate::minute(res_rgt_many$Date_time) RGT_cycle_14$second = lubridate::second(res_rgt_many$Date_time) RGT_cycle_14$RGT = res_rgt_many$RGT RGT_cycle_14
https://icesat-2.gsfc.nasa.gov/science/specs
require(IceSat2R)
require(data.table)
#> Loading required package: data.table
data(RGT_cycle_14)