#' Coverts NASA h5 to rasters
#' @import gdalUtils
#' @param path The Path to the folder containing the .h5 files
#' @param file_type Default is 1. 1. DNB_BRDF-Corrected_NTL 2. DNB_Lunar_Irradiance 3. Gap_Filled_DNB_BRDF-Corrected_NTL 4. Latest_High_Quality_Retrieval 5. Mandatory_Quality_Flag 6. QF_Cloud_Mask 7. Snow_Flag
#' @param file_name The name of the file to be extracted
#' @return A stack of rasters
#' @export
H5_data_extracter <- function(path, file_type = 1, file_name){
# Reading the rasters within a folder
rasterlist <- list.files(path=path,
pattern='.h5',
all.files=TRUE,
full.names=FALSE)
rasterlist <- as.data.frame(rasterlist)
# Reading the sub directories within the .h5
sds <- gdalUtils::get_subdatasets(paste0(path, "/",file_name))
# Converting the .h5 to a .tif
name <- sds[file_type]
filename <- 'temp.tif'
gdalUtils::gdal_translate(sds[file_type],
dst_dataset = filename)
r <- raster(filename)
r[r == 65535] <- NA
# Removing the .tif we temporarily generated
try(
file.remove("temp.tif")
)
r
}
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