crop_DEM | R Documentation |
Function to crop the AOI from the downloaded DEM .tif file
crop_DEM(tif_or_vrt_dem_file, sf_buffer_obj, verbose = FALSE)
tif_or_vrt_dem_file |
a valid path to the elevation .tif or .vrt file |
sf_buffer_obj |
a simple features ('sf') object that will be used to crop the input elevation raster file ('tif_or_vrt_dem_file' parameter) |
verbose |
a boolean. If TRUE then information will be printed out in the console |
an object of class SpatRaster
## Not run:
require(fitbitViz)
#............................
# first extract the log-id(s)
#............................
USER_ID = '99xxxx'
token = 'my_long_web_api_token'
log_id = extract_LOG_ID(user_id = USER_ID,
token = token,
after_Date = '2021-03-13',
limit = 10,
sort = 'asc',
verbose = TRUE)
str(log_id)
#...................................
# then return the gps-ctx data.table
#...................................
res_tcx = GPS_TCX_data(log_id = log_id,
user_id = USER_ID,
token = token,
time_zone = 'Europe/Athens',
verbose = TRUE)
str(res_tcx)
#....................................................
# then compute the sf-object buffer and raster-extend
#....................................................
sf_rst_ext = extend_AOI_buffer(dat_gps_tcx = res_tcx,
buffer_in_meters = 1000,
CRS = 4326,
verbose = TRUE)
sf_rst_ext
#...............................................................
# Download the Copernicus DEM 30m elevation data because it has
# a better resolution, it takes a bit longer to download because
# the .tif file size is bigger
#...............................................................
dem_dir = tempdir()
# dem_dir
dem30 = CopernicusDEM::aoi_geom_save_tif_matches(sf_or_file = sf_rst_ext$sfc_obj,
dir_save_tifs = dem_dir,
resolution = 30,
crs_value = 4326,
threads = parallel::detectCores(),
verbose = TRUE)
TIF = list.files(dem_dir, pattern = '.tif', full.names = T)
# TIF
if (length(TIF) > 1) {
#....................................................
# create a .VRT file if I have more than 1 .tif files
#....................................................
file_out = file.path(dem_dir, 'VRT_mosaic_FILE.vrt')
vrt_dem30 = create_VRT_from_dir(dir_tifs = dem_dir,
output_path_VRT = file_out,
verbose = TRUE)
}
if (length(TIF) == 1) {
#..................................................
# if I have a single .tif file keep the first index
#..................................................
file_out = TIF[1]
}
raysh_rst = crop_DEM(tif_or_vrt_dem_file = file_out,
sf_buffer_obj = sf_rst_ext$sfc_obj,
verbose = TRUE)
terra::plot(raysh_rst)
## End(Not run)
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