Nothing
R/dn2toa.R
In ASIP: Automated Satellite Image Processing
#' DN to TOA conversion of optical bands
#'
#' Digital number (DN) bands to Top of Atmosphere (TOA) conversion.
#' @param ext2crop,crop,directory Same as mentioned in \code{\link[ASIP]{arvi}}.
#' @param op_directory Specify the output directory (within double quotes). By default the input satellite image directory will be selected as the output directory.
#' @param b1 By default Band1 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @param b2 By default Band2 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @param b3 By default Band3 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @param b4 By default Band4 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @param b5 By default Band5 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @param b6 By default Band6 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @param b7 By default Band7 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @return Each bands selected will produce corresponding image in *.tif format in the input directory.
#' @note 1. This function followed by \code{\link[ASIP]{multi.indices}} is recommended only if user is intended to produce multiple indices
#' like ndvi & gemi other than running seperate function for each product to save processing time and resources.
#'
#' Other important notes are mentioned in \code{\link[ASIP]{custom.eqn}}.
#' @export
#' @importFrom raster raster writeRaster extent mask crop
#' @importFrom utils tail
#' @references \href{https://landsat.usgs.gov/sites/default/files/documents/Landsat8DataUsersHandbook.pdf}{USGS (2016) Landsat 8 (L8) data users handbook, version 2.}
#'
#' Landsat 7 science data users handbook, NASA. Available at "https://landsat.gsfc.nasa.gov/wp-content/uploads/2016/08/Landsat7_Handbook.pdf".
#' @examples
#' library (raster)
#' library (rgdal)
#' # Finding the path of the sample satellite image directory.
#' # User may define paths directly like "/home/ur_folder" or "C:/ur_folder"
#' path <- system.file ("TM_sample", package = "ASIP")
#' shapefil <- paste0 (path, "/test.shp")
#' # Assign 0 values to band names which are not required
#' dn2toa (path, crop = "f", ext2crop = shapefil, b3=0, b4=0, b5=0, b6 = 0, b7 = 0)
# TOA
dn2toa <- function (directory= getwd(), crop = "n", ext2crop = "none", op_directory = directory, b1=1,b2=1,b3=1,b4=1,b5=1,b6=1,b7=1)
{
# If the directory is not set
bands <- length (list.files(directory,pattern = "*TIF"))
if (bands == 0)
stop("Define your satellite image folder path properly")
# Finding out which satellite sensor data & name of satellite image data
files <- list.files(directory)
for (i in 1:length(files))
{
file <- files[i]
broke_name <- strsplit(file, "_B1.TI")
broke_name <- broke_name[[1]]
if (utils::tail(broke_name,1) == "F")
{
sat_fold <- broke_name[1]
satellite <- substr(sat_fold,1,2)
break()
}
}
# Defining the crop extent
if (crop != "n" && crop != "y" && crop !="u" && crop != "f")
stop ("Define argument 'crop' properly. Use either n, y, f or u in double quotes. Type ?arvi in console to read more about the function")
if (crop != "n" && ext2crop == "none")
{
if (crop != "u")
stop ("Define argument 'ext2crop' properly if croppping is required, otherwise choose argument 'crop' as n in double quotes")
}
if (crop == "y" || crop == "f")
{
if (typeof (ext2crop) == "character")
{
shape <- raster::shapefile (ext2crop)
ext <- raster::extent (shape)
}
if (typeof (ext2crop) == "S4")
{
ext <- raster::extent (ext2crop)
shape <- ext2crop
}
}
# Defining folders properly
if (stringr::str_sub(op_directory) == "/")
{
op_directory <- stringr::str_sub(op_directory, start = 1L, end = -2L)
}
if (stringr::str_sub(directory) == "/")
{
directory <- stringr::str_sub(directory, start = 1L, end = -2L)
}
op_bands <- list()
op_names <- list()
meta_data <- readLines(paste0(directory,"/",sat_fold,"_MTL.txt"))
count_i <- length(meta_data)
if (count_i==0){print("ERROR: MTL file not found")}
######### Landsat 8 starting###############
if (satellite=="LC")
{
j <- 0
if (crop == "u")
{
b5 <- raster (paste0 (directory, "/", sat_fold, "_B5.TIF"))
b4 <- raster (paste0 (directory, "/", sat_fold, "_B4.TIF"))
b3 <- raster (paste0 (directory, "/", sat_fold, "_B3.TIF"))
stak <- raster::stack(c(b5,b4,b3))
plotRGB(stak, scale = 65536)
print("Please define your extent from the map in plot preview for further processing")
print("You can click on the top left of custom subset region followed by the bottom right")
ext <- drawExtent()
}
# Extracting values from meta data
for (i in 1:count_i)
{
line <- meta_data[i]
line_splited <- strsplit(line," ")
words <- line_splited[[1]]
counts <- length(words)
for (j in 1:counts)
{
if (words[j]=="REFLECTANCE_ADD_BAND_7"){ swir2_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_7"){ swir2_refl_mult <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_ADD_BAND_6"){ swir1_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_6"){ swir1_refl_mult <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_ADD_BAND_5"){ nir_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_5"){ nir_refl_mult <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_ADD_BAND_4"){ red_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_4"){ red_refl_mult <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_ADD_BAND_3"){ green_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_3"){ green_refl_mult <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_ADD_BAND_2"){ blu_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_2"){ blu_refl_mult <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_ADD_BAND_1"){ aero_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_1"){ aero_refl_mult <- as.double(words[j+2])}
if (words[j]=="DATE_ACQUIRED"){ data_aq <- as.character(words[j+2])}
if (words[j]=="SUN_ELEVATION"){ sun_ele <- as.double(words[j+2])}
}
}
# Defining bands & toa calculation
if (b1==1)
{
aero <- as.integer(raster(paste0(directory,"/",sat_fold,"_B1.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
aero <- crop(aero, ext)
if (crop=="f")
{
aero <- mask(aero,shape)
}
}
toa_aero <- ((aero * aero_refl_mult) + aero_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_aero
op_names [[j]] <- paste0("Raster no.", j, " is Ultra Blue (coastal/aerosol) band")
#writeRaster(toa_aero,paste0(op_directory,"/","toa_aero"),format="GTiff",overwrite=TRUE)
}
if (b2==1)
{
blu <- as.integer(raster(paste0(directory,"/",sat_fold,"_B2.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
blu <- crop(blu, ext)
if (crop=="f")
{
blu <- mask(blu,shape)
}
}
toa_blu <- ((blu * blu_refl_mult) + blu_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_blu
op_names [[j]] <- paste0("Raster no.", j, " is Blue band")
#writeRaster(toa_blu,paste0(op_directory,"/","toa_blu"),format="GTiff",overwrite=TRUE)
}
if (b3==1)
{
green <- as.integer(raster(paste0(directory,"/",sat_fold,"_B3.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
green <- crop(green, ext)
if (crop=="f")
{
green <- mask(green,shape)
}
}
toa_green <- ((green * green_refl_mult) + green_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_green
op_names [[j]] <- paste0("Raster no.", j, " is Green band")
#writeRaster(toa_green,paste0(op_directory,"/","toa_green"),format="GTiff",overwrite=TRUE)
}
if (b4==1)
{
red <- as.integer(raster(paste0(directory,"/",sat_fold,"_B4.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
red <- crop(red, ext)
if (crop=="f")
{
red <- mask(red,shape)
}
}
toa_red <- ((red * red_refl_mult) + red_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_red
op_names [[j]] <- paste0("Raster no.", j, " is Red band")
# writeRaster(toa_red,paste0(op_directory,"/","toa_red"),format="GTiff",overwrite=TRUE)
}
if (b5==1)
{
nir <- as.integer(raster(paste0(directory,"/",sat_fold,"_B5.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
nir <- crop(nir, ext)
if (crop=="f")
{
nir <- mask(nir,shape)
}
}
toa_nir <- ((nir * nir_refl_mult) + nir_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_nir
op_names [[j]] <- paste0("Raster no.", j, " is NIR band")
#writeRaster(toa_nir,paste0(op_directory,"/","toa_nir"),format="GTiff",overwrite=TRUE)
}
if (b6==1)
{
swir1 <- as.integer(raster(paste0(directory,"/",sat_fold,"_B6.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
swir1 <- crop(swir1, ext)
if (crop=="f")
{
swir1 <- mask(swir1,shape)
}
}
toa_swir1 <- ((swir1 * swir1_refl_mult) + swir1_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_swir1
op_names [[j]] <- paste0("Raster no.", j, " is SWIR-1 band")
#writeRaster(toa_swir1,paste0(op_directory,"/","toa_swir1"),format="GTiff",overwrite=TRUE)
}
if (b7==1)
{
swir2 <- as.integer(raster(paste0(directory,"/",sat_fold,"_B7.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
swir2 <- crop(swir2, ext)
if (crop=="f")
{
swir2 <- mask(swir2,shape)
}
}
toa_swir2 <- ((swir2 * swir2_refl_mult) + swir2_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_swir2
op_names [[j]] <- paste0("Raster no.", j, " is SWIR-2 band")
#writeRaster(toa_swir2,paste0(op_directory,"/","toa_swir2"),format="GTiff",overwrite=TRUE)
}
rm (j)
}
########### Landsat-8 ending ##############
########### Landsat-7 starting ##############
if (satellite=="LE")
{
j <- 0
if (crop == "u")
{
b4 <- raster (paste0 (directory, "/", sat_fold, "_B4.TIF"))
b3 <- raster (paste0 (directory, "/", sat_fold, "_B3.TIF"))
b2 <- raster (paste0 (directory, "/", sat_fold, "_B2.TIF"))
stak <- stack(c (b4, b3, b2))
plotRGB(stak)
print("Please define your extent from the map in plot preview for further processing")
print("You can click on the top left of custom subset region followed by the bottom right")
ext <- drawExtent()
}
qcal_max <- 255
d <- 0
for (i in 1:count_i)
{
line <- meta_data[i]
line_splited <- strsplit(line," ")
words <- line_splited[[1]]
counts <- length(words)
for (j in 1:counts)
{
if (words[j]=="QUANTIZE_CAL_MIN_BAND_1"){ qcal_min <- as.double(words[j+2])}
if (words[j]=="EARTH_SUN_DISTANCE"){ d <- as.double(words[j+2])}
if (words[j]=="DATE_ACQUIRED"){ data_aq <- as.character(words[j+2])}
if (words[j]=="SUN_ELEVATION"){ sun_ele <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_1"){ lmax1 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_2"){ lmax2 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_3"){ lmax3 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_4"){ lmax4 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_5"){ lmax5 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_7"){ lmax7 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_1"){ lmin1 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_2"){ lmin2 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_3"){ lmin3 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_4"){ lmin4 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_5"){ lmin5 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_7"){ lmin7 <- as.double(words[j+2])}
}
}
if (d==0)
{
dat_tex <- as.Date(data_aq)
jul_ful <- julian(dat_tex)
yr_rmv_num <- jul_ful%/%365.25
jul_day <- jul_ful-(yr_rmv_num*365.25)+1.5
jul_flot <- jul_day%%365.25
jul_final <- as.integer(jul_flot)
d <- 1 + (0.0167 * sin ((pi/180) *2 *pi *(jul_final- 93.5) / 365))
}
if (b1==1)
{
blu <- raster(paste0(directory,"/",sat_fold,"_B1.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
blu <- crop(blu,ext)
if (crop=="f")
{
blu <- mask(blu,shape)
}
}
rad_b1 <- ((lmax1-lmin1)/(qcal_max-qcal_min)) * (blu-qcal_min) + lmin1
toa_blu <- pi * rad_b1 * d^2 / 1970 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_blu
op_names [[j]] <- paste0("Raster no.", j, " is Blue band")
#writeRaster(toa_blu,paste0(op_directory,"/","toa_blu"),format="GTiff",overwrite=TRUE)
}
if (b2==1)
{
green <- raster(paste0(directory,"/",sat_fold,"_B2.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
green <- crop(green,ext)
if (crop=="f")
{
green <- mask(green,shape)
}
}
rad_b2 <- ((lmax2-lmin2)/(qcal_max-qcal_min)) * (green-qcal_min) + lmin2
toa_green <- pi * rad_b2 * d^2 / 1842 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_green
op_names [[j]] <- paste0("Raster no.", j, " is Green band")
#writeRaster(toa_green,paste0(op_directory,"/","toa_green"),format="GTiff",overwrite=TRUE)
}
if (b3==1)
{
red <- raster(paste0(directory,"/",sat_fold,"_B3.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
red <- crop(red,ext)
if (crop=="f")
{
red <- mask(red,shape)
}
}
rad_b3 <- ((lmax3-lmin3)/(qcal_max-qcal_min)) * (red-qcal_min) + lmin3
toa_red <- pi * rad_b3 * d^2 / 1547 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_red
op_names [[j]] <- paste0("Raster no.", j, " is Red band")
#writeRaster(toa_red,paste0(op_directory,"/","toa_red"),format="GTiff",overwrite=TRUE)
}
if (b4==1)
{
nir <- raster(paste0(directory,"/",sat_fold,"_B4.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
nir <- crop(nir,ext)
if (crop=="f")
{
nir <- mask(nir,shape)
}
}
rad_b4 <- ((lmax4-lmin4)/(qcal_max-qcal_min)) * (nir-qcal_min) + lmin4
toa_nir <- pi * rad_b4 * d^2 / 1044 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_nir
op_names [[j]] <- paste0("Raster no.", j, " is NIR band")
#writeRaster(toa_nir,paste0(op_directory,"/","toa_nir"),format="GTiff",overwrite=TRUE)
}
if (b5==1)
{
swir1 <- raster(paste0(directory,"/",sat_fold,"_B5.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
swir <- crop(swir1,ext)
if (crop=="f")
{
swir1 <- mask(swir1,shape)
}
}
rad_b5 <- ((lmax5-lmin5)/(qcal_max-qcal_min)) * (swir1-qcal_min) + lmin5
toa_swir1 <- pi * rad_b5 * d^2 / 225.7 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_swir1
op_names [[j]] <- paste0("Raster no.", j, " is SWIR-1 band")
#writeRaster(toa_swir1,paste0(op_directory,"/","toa_swir1"),format="GTiff",overwrite=TRUE)
}
if (b7==1)
{
swir2 <- raster(paste0(directory,"/",sat_fold,"_B7.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
swir2 <- crop(swir2,ext)
if (crop=="f")
{
swir2 <- mask(swir2,shape)
}
}
rad_b7 <- ((lmax7-lmin7)/(qcal_max-qcal_min)) * (swir2-qcal_min) + lmin7
toa_swir2 <- pi * rad_b7 * d^2 / 82.06 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_swir2
op_names [[j]] <- paste0("Raster no.", j, " is SWIR-2 band")
#writeRaster(toa_swir2,paste0(op_directory,"/","toa_swir2"),format="GTiff",overwrite=TRUE)
}
rm(j)
}
############## Landsat ETM ending ##################
############## Landsat TM starting ##################
if (satellite=="LT")
{
if (crop == "u")
{
b4 <- raster (paste0 (directory, "/", sat_fold, "_B4.TIF"))
b3 <- raster (paste0 (directory, "/", sat_fold, "_B3.TIF"))
b2 <- raster (paste0 (directory, "/", sat_fold, "_B2.TIF"))
stak <- stack(c (b4, b3, b2))
plotRGB(stak)
print("Please define your extent from the map in plot preview for further processing")
print("You can click on the top left of custom subset region followed by the bottom right")
ext <- drawExtent()
}
qcal_max <- 255
d <- 0
for (i in 1:count_i)
{
line <- meta_data[i]
line_splited <- strsplit(line," ")
words <- line_splited[[1]]
counts <- length(words)
for (j in 1:counts)
{
if (words[j]=="QUANTIZE_CAL_MIN_BAND_1"){ qcal_min <- as.double(words[j+2])}
if (words[j]=="DATE_ACQUIRED"){ data_aq <- as.character(words[j+2])}
if (words[j]=="SUN_ELEVATION"){ sun_ele <- as.double(words[j+2])}
if (words[j]=="EARTH_SUN_DISTANCE"){ d <- as.double(words[j+2])}
if (words[j]=="SPACECRAFT_ID"){ tm_id <- as.character(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_1"){ lmax1 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_2"){ lmax2 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_3"){ lmax3 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_4"){ lmax4 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_5"){ lmax5 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_7"){ lmax7 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_1"){ lmin1 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_2"){ lmin2 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_3"){ lmin3 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_4"){ lmin4 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_5"){ lmin5 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_7"){ lmin7 <- as.double(words[j+2])}
}
}
if (tm_id=="\"LANDSAT_5\"")
{
esun2 <- 1827
esun3 <- 1551
esun4 <- 1036
esun5 <- 214.9
esun7 <- 80.65
}
if (tm_id!="\"LANDSAT_5\"")
{
esun2 <- 1826
esun3 <- 1554
esun4 <- 1033
esun5 <- 214.7
esun7 <- 80.70
}
if (d==0)
{
dat_tex <- as.Date(data_aq)
jul_ful <- julian(dat_tex)
yr_rmv_num <- jul_ful%/%365.25
jul_day <- jul_ful-(yr_rmv_num*365.25)+1.5
jul_flot <- jul_day%%365.25
jul_final <- as.integer(jul_flot)
d <- 1 + (0.0167 * sin ((pi/180) *2 *pi *(jul_final- 93.5) / 365))
}
if (b1==1)
{
blu <- raster(paste0(directory,"/",sat_fold,"_B1.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
blu <- crop(blu,ext)
if (crop=="f")
{
blu <- mask(blu,shape)
}
}
rad_b1 <- ((lmax1-lmin1)/(qcal_max-qcal_min)) * (blu-qcal_min) + lmin1
toa_blu <- pi * rad_b1 * d^2 / 1958 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_blu
op_names [[j]] <- paste0("Raster no.", j, " is Blue band")
#writeRaster(toa_blu,paste0(op_directory,"/","toa_blu"),format="GTiff",overwrite=TRUE)
}
if (b2==1)
{
green <- raster(paste0(directory,"/",sat_fold,"_B2.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
green <- crop(green,ext)
if (crop=="f")
{
green <- mask(green,shape)
}
}
rad_b2 <- ((lmax2-lmin2)/(qcal_max-qcal_min)) * (green-qcal_min) + lmin2
toa_green <- pi * rad_b2 * d^2 / esun2 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_green
op_names [[j]] <- paste0("Raster no.", j, " is Green band")
#writeRaster(toa_green,paste0(op_directory,"/","toa_green"),format="GTiff",overwrite=TRUE)
}
if (b3==1)
{
red <- raster(paste0(directory,"/",sat_fold,"_B3.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
red <- crop(red,ext)
if (crop=="f")
{
red <- mask(red,shape)
}
}
rad_b3 <- ((lmax3-lmin3)/(qcal_max-qcal_min)) * (red-qcal_min) + lmin3
toa_red <- pi * rad_b3 * d^2 / esun3 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_red
op_names [[j]] <- paste0("Raster no.", j, " is Red band")
#writeRaster(toa_red,paste0(op_directory,"/","toa_red"),format="GTiff",overwrite=TRUE)
}
if (b4==1)
{
nir <- raster(paste0(directory,"/",sat_fold,"_B4.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
nir <- crop(nir,ext)
if (crop=="f")
{
nir <- mask(nir,shape)
}
}
rad_b4 <- ((lmax4-lmin4)/(qcal_max-qcal_min)) * (nir-qcal_min) + lmin4
toa_nir <- pi * rad_b4 * d^2 / esun4 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_nir
op_names [[j]] <- paste0("Raster no.", j, " is NIR band")
#writeRaster(toa_nir,paste0(op_directory,"/","toa_nir"),format="GTiff",overwrite=TRUE)
}
if (b5==1)
{
swir1 <- raster(paste0(directory,"/",sat_fold,"_B5.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
swir1 <- crop(swir1,ext)
if (crop=="f")
{
swir1 <- mask(swir1,shape)
}
}
rad_b5 <- ((lmax5-lmin5)/(qcal_max-qcal_min)) * (swir1-qcal_min) + lmin5
toa_swir1 <- pi * rad_b5 * d^2 / esun5 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_swir1
op_names [[j]] <- paste0("Raster no.", j, " is SWIR-1 band")
#writeRaster(toa_swir1,paste0(op_directory,"/","toa_swir1"),format="GTiff",overwrite=TRUE)
}
if (b7==1)
{
swir2 <- raster(paste0(directory,"/",sat_fold,"_B7.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
swir2 <- crop(swir2,ext)
if (crop=="f")
{
swir2 <- mask(swir2,shape)
}
}
rad_b7 <- ((lmax7-lmin7)/(qcal_max-qcal_min)) * (swir2-qcal_min) + lmin7
toa_swir2 <- pi * rad_b7 * d^2 / esun7 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_swir2
op_names [[j]] <- paste0("Raster no.", j, " is SWIR-2 band")
#writeRaster(toa_swir2,paste0(op_directory,"/","toa_swir2"),format="GTiff",overwrite=TRUE)
}
}
op <- list()
op [[1]] <- op_names
op [[2]] <- op_bands
return (op)
######## Landsat TM ending ############
cat("\nProgram finished, results will be located in the satellite folder")
}
############ TOA FINISHED #######################
# ESUN values are obtained from https://landsat.usgs.gov/esun
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#' DN to TOA conversion of optical bands
#'
#' Digital number (DN) bands to Top of Atmosphere (TOA) conversion.
#' @param ext2crop,crop,directory Same as mentioned in \code{\link[ASIP]{arvi}}.
#' @param op_directory Specify the output directory (within double quotes). By default the input satellite image directory will be selected as the output directory.
#' @param b1 By default Band1 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @param b2 By default Band2 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @param b3 By default Band3 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @param b4 By default Band4 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @param b5 By default Band5 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @param b6 By default Band6 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @param b7 By default Band7 will be processed to TOA reflectance. To cancel production of this band assign value 0.
#' @return Each bands selected will produce corresponding image in *.tif format in the input directory.
#' @note 1. This function followed by \code{\link[ASIP]{multi.indices}} is recommended only if user is intended to produce multiple indices
#' like ndvi & gemi other than running seperate function for each product to save processing time and resources.
#'
#' Other important notes are mentioned in \code{\link[ASIP]{custom.eqn}}.
#' @export
#' @importFrom raster raster writeRaster extent mask crop
#' @importFrom utils tail
#' @references \href{https://landsat.usgs.gov/sites/default/files/documents/Landsat8DataUsersHandbook.pdf}{USGS (2016) Landsat 8 (L8) data users handbook, version 2.}
#'
#' Landsat 7 science data users handbook, NASA. Available at "https://landsat.gsfc.nasa.gov/wp-content/uploads/2016/08/Landsat7_Handbook.pdf".
#' @examples
#' library (raster)
#' library (rgdal)
#' # Finding the path of the sample satellite image directory.
#' # User may define paths directly like "/home/ur_folder" or "C:/ur_folder"
#' path <- system.file ("TM_sample", package = "ASIP")
#' shapefil <- paste0 (path, "/test.shp")
#' # Assign 0 values to band names which are not required
#' dn2toa (path, crop = "f", ext2crop = shapefil, b3=0, b4=0, b5=0, b6 = 0, b7 = 0)
# TOA
dn2toa <- function (directory= getwd(), crop = "n", ext2crop = "none", op_directory = directory, b1=1,b2=1,b3=1,b4=1,b5=1,b6=1,b7=1)
{
# If the directory is not set
bands <- length (list.files(directory,pattern = "*TIF"))
if (bands == 0)
stop("Define your satellite image folder path properly")
# Finding out which satellite sensor data & name of satellite image data
files <- list.files(directory)
for (i in 1:length(files))
{
file <- files[i]
broke_name <- strsplit(file, "_B1.TI")
broke_name <- broke_name[[1]]
if (utils::tail(broke_name,1) == "F")
{
sat_fold <- broke_name[1]
satellite <- substr(sat_fold,1,2)
break()
}
}
# Defining the crop extent
if (crop != "n" && crop != "y" && crop !="u" && crop != "f")
stop ("Define argument 'crop' properly. Use either n, y, f or u in double quotes. Type ?arvi in console to read more about the function")
if (crop != "n" && ext2crop == "none")
{
if (crop != "u")
stop ("Define argument 'ext2crop' properly if croppping is required, otherwise choose argument 'crop' as n in double quotes")
}
if (crop == "y" || crop == "f")
{
if (typeof (ext2crop) == "character")
{
shape <- raster::shapefile (ext2crop)
ext <- raster::extent (shape)
}
if (typeof (ext2crop) == "S4")
{
ext <- raster::extent (ext2crop)
shape <- ext2crop
}
}
# Defining folders properly
if (stringr::str_sub(op_directory) == "/")
{
op_directory <- stringr::str_sub(op_directory, start = 1L, end = -2L)
}
if (stringr::str_sub(directory) == "/")
{
directory <- stringr::str_sub(directory, start = 1L, end = -2L)
}
op_bands <- list()
op_names <- list()
meta_data <- readLines(paste0(directory,"/",sat_fold,"_MTL.txt"))
count_i <- length(meta_data)
if (count_i==0){print("ERROR: MTL file not found")}
######### Landsat 8 starting###############
if (satellite=="LC")
{
j <- 0
if (crop == "u")
{
b5 <- raster (paste0 (directory, "/", sat_fold, "_B5.TIF"))
b4 <- raster (paste0 (directory, "/", sat_fold, "_B4.TIF"))
b3 <- raster (paste0 (directory, "/", sat_fold, "_B3.TIF"))
stak <- raster::stack(c(b5,b4,b3))
plotRGB(stak, scale = 65536)
print("Please define your extent from the map in plot preview for further processing")
print("You can click on the top left of custom subset region followed by the bottom right")
ext <- drawExtent()
}
# Extracting values from meta data
for (i in 1:count_i)
{
line <- meta_data[i]
line_splited <- strsplit(line," ")
words <- line_splited[[1]]
counts <- length(words)
for (j in 1:counts)
{
if (words[j]=="REFLECTANCE_ADD_BAND_7"){ swir2_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_7"){ swir2_refl_mult <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_ADD_BAND_6"){ swir1_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_6"){ swir1_refl_mult <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_ADD_BAND_5"){ nir_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_5"){ nir_refl_mult <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_ADD_BAND_4"){ red_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_4"){ red_refl_mult <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_ADD_BAND_3"){ green_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_3"){ green_refl_mult <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_ADD_BAND_2"){ blu_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_2"){ blu_refl_mult <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_ADD_BAND_1"){ aero_refl_add <- as.double(words[j+2])}
if (words[j]=="REFLECTANCE_MULT_BAND_1"){ aero_refl_mult <- as.double(words[j+2])}
if (words[j]=="DATE_ACQUIRED"){ data_aq <- as.character(words[j+2])}
if (words[j]=="SUN_ELEVATION"){ sun_ele <- as.double(words[j+2])}
}
}
# Defining bands & toa calculation
if (b1==1)
{
aero <- as.integer(raster(paste0(directory,"/",sat_fold,"_B1.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
aero <- crop(aero, ext)
if (crop=="f")
{
aero <- mask(aero,shape)
}
}
toa_aero <- ((aero * aero_refl_mult) + aero_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_aero
op_names [[j]] <- paste0("Raster no.", j, " is Ultra Blue (coastal/aerosol) band")
#writeRaster(toa_aero,paste0(op_directory,"/","toa_aero"),format="GTiff",overwrite=TRUE)
}
if (b2==1)
{
blu <- as.integer(raster(paste0(directory,"/",sat_fold,"_B2.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
blu <- crop(blu, ext)
if (crop=="f")
{
blu <- mask(blu,shape)
}
}
toa_blu <- ((blu * blu_refl_mult) + blu_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_blu
op_names [[j]] <- paste0("Raster no.", j, " is Blue band")
#writeRaster(toa_blu,paste0(op_directory,"/","toa_blu"),format="GTiff",overwrite=TRUE)
}
if (b3==1)
{
green <- as.integer(raster(paste0(directory,"/",sat_fold,"_B3.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
green <- crop(green, ext)
if (crop=="f")
{
green <- mask(green,shape)
}
}
toa_green <- ((green * green_refl_mult) + green_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_green
op_names [[j]] <- paste0("Raster no.", j, " is Green band")
#writeRaster(toa_green,paste0(op_directory,"/","toa_green"),format="GTiff",overwrite=TRUE)
}
if (b4==1)
{
red <- as.integer(raster(paste0(directory,"/",sat_fold,"_B4.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
red <- crop(red, ext)
if (crop=="f")
{
red <- mask(red,shape)
}
}
toa_red <- ((red * red_refl_mult) + red_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_red
op_names [[j]] <- paste0("Raster no.", j, " is Red band")
# writeRaster(toa_red,paste0(op_directory,"/","toa_red"),format="GTiff",overwrite=TRUE)
}
if (b5==1)
{
nir <- as.integer(raster(paste0(directory,"/",sat_fold,"_B5.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
nir <- crop(nir, ext)
if (crop=="f")
{
nir <- mask(nir,shape)
}
}
toa_nir <- ((nir * nir_refl_mult) + nir_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_nir
op_names [[j]] <- paste0("Raster no.", j, " is NIR band")
#writeRaster(toa_nir,paste0(op_directory,"/","toa_nir"),format="GTiff",overwrite=TRUE)
}
if (b6==1)
{
swir1 <- as.integer(raster(paste0(directory,"/",sat_fold,"_B6.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
swir1 <- crop(swir1, ext)
if (crop=="f")
{
swir1 <- mask(swir1,shape)
}
}
toa_swir1 <- ((swir1 * swir1_refl_mult) + swir1_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_swir1
op_names [[j]] <- paste0("Raster no.", j, " is SWIR-1 band")
#writeRaster(toa_swir1,paste0(op_directory,"/","toa_swir1"),format="GTiff",overwrite=TRUE)
}
if (b7==1)
{
swir2 <- as.integer(raster(paste0(directory,"/",sat_fold,"_B7.TIF")))
if (crop == "y" || crop == "f" || crop == "u")
{
swir2 <- crop(swir2, ext)
if (crop=="f")
{
swir2 <- mask(swir2,shape)
}
}
toa_swir2 <- ((swir2 * swir2_refl_mult) + swir2_refl_add)/sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_swir2
op_names [[j]] <- paste0("Raster no.", j, " is SWIR-2 band")
#writeRaster(toa_swir2,paste0(op_directory,"/","toa_swir2"),format="GTiff",overwrite=TRUE)
}
rm (j)
}
########### Landsat-8 ending ##############
########### Landsat-7 starting ##############
if (satellite=="LE")
{
j <- 0
if (crop == "u")
{
b4 <- raster (paste0 (directory, "/", sat_fold, "_B4.TIF"))
b3 <- raster (paste0 (directory, "/", sat_fold, "_B3.TIF"))
b2 <- raster (paste0 (directory, "/", sat_fold, "_B2.TIF"))
stak <- stack(c (b4, b3, b2))
plotRGB(stak)
print("Please define your extent from the map in plot preview for further processing")
print("You can click on the top left of custom subset region followed by the bottom right")
ext <- drawExtent()
}
qcal_max <- 255
d <- 0
for (i in 1:count_i)
{
line <- meta_data[i]
line_splited <- strsplit(line," ")
words <- line_splited[[1]]
counts <- length(words)
for (j in 1:counts)
{
if (words[j]=="QUANTIZE_CAL_MIN_BAND_1"){ qcal_min <- as.double(words[j+2])}
if (words[j]=="EARTH_SUN_DISTANCE"){ d <- as.double(words[j+2])}
if (words[j]=="DATE_ACQUIRED"){ data_aq <- as.character(words[j+2])}
if (words[j]=="SUN_ELEVATION"){ sun_ele <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_1"){ lmax1 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_2"){ lmax2 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_3"){ lmax3 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_4"){ lmax4 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_5"){ lmax5 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_7"){ lmax7 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_1"){ lmin1 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_2"){ lmin2 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_3"){ lmin3 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_4"){ lmin4 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_5"){ lmin5 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_7"){ lmin7 <- as.double(words[j+2])}
}
}
if (d==0)
{
dat_tex <- as.Date(data_aq)
jul_ful <- julian(dat_tex)
yr_rmv_num <- jul_ful%/%365.25
jul_day <- jul_ful-(yr_rmv_num*365.25)+1.5
jul_flot <- jul_day%%365.25
jul_final <- as.integer(jul_flot)
d <- 1 + (0.0167 * sin ((pi/180) *2 *pi *(jul_final- 93.5) / 365))
}
if (b1==1)
{
blu <- raster(paste0(directory,"/",sat_fold,"_B1.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
blu <- crop(blu,ext)
if (crop=="f")
{
blu <- mask(blu,shape)
}
}
rad_b1 <- ((lmax1-lmin1)/(qcal_max-qcal_min)) * (blu-qcal_min) + lmin1
toa_blu <- pi * rad_b1 * d^2 / 1970 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_blu
op_names [[j]] <- paste0("Raster no.", j, " is Blue band")
#writeRaster(toa_blu,paste0(op_directory,"/","toa_blu"),format="GTiff",overwrite=TRUE)
}
if (b2==1)
{
green <- raster(paste0(directory,"/",sat_fold,"_B2.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
green <- crop(green,ext)
if (crop=="f")
{
green <- mask(green,shape)
}
}
rad_b2 <- ((lmax2-lmin2)/(qcal_max-qcal_min)) * (green-qcal_min) + lmin2
toa_green <- pi * rad_b2 * d^2 / 1842 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_green
op_names [[j]] <- paste0("Raster no.", j, " is Green band")
#writeRaster(toa_green,paste0(op_directory,"/","toa_green"),format="GTiff",overwrite=TRUE)
}
if (b3==1)
{
red <- raster(paste0(directory,"/",sat_fold,"_B3.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
red <- crop(red,ext)
if (crop=="f")
{
red <- mask(red,shape)
}
}
rad_b3 <- ((lmax3-lmin3)/(qcal_max-qcal_min)) * (red-qcal_min) + lmin3
toa_red <- pi * rad_b3 * d^2 / 1547 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_red
op_names [[j]] <- paste0("Raster no.", j, " is Red band")
#writeRaster(toa_red,paste0(op_directory,"/","toa_red"),format="GTiff",overwrite=TRUE)
}
if (b4==1)
{
nir <- raster(paste0(directory,"/",sat_fold,"_B4.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
nir <- crop(nir,ext)
if (crop=="f")
{
nir <- mask(nir,shape)
}
}
rad_b4 <- ((lmax4-lmin4)/(qcal_max-qcal_min)) * (nir-qcal_min) + lmin4
toa_nir <- pi * rad_b4 * d^2 / 1044 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_nir
op_names [[j]] <- paste0("Raster no.", j, " is NIR band")
#writeRaster(toa_nir,paste0(op_directory,"/","toa_nir"),format="GTiff",overwrite=TRUE)
}
if (b5==1)
{
swir1 <- raster(paste0(directory,"/",sat_fold,"_B5.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
swir <- crop(swir1,ext)
if (crop=="f")
{
swir1 <- mask(swir1,shape)
}
}
rad_b5 <- ((lmax5-lmin5)/(qcal_max-qcal_min)) * (swir1-qcal_min) + lmin5
toa_swir1 <- pi * rad_b5 * d^2 / 225.7 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_swir1
op_names [[j]] <- paste0("Raster no.", j, " is SWIR-1 band")
#writeRaster(toa_swir1,paste0(op_directory,"/","toa_swir1"),format="GTiff",overwrite=TRUE)
}
if (b7==1)
{
swir2 <- raster(paste0(directory,"/",sat_fold,"_B7.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
swir2 <- crop(swir2,ext)
if (crop=="f")
{
swir2 <- mask(swir2,shape)
}
}
rad_b7 <- ((lmax7-lmin7)/(qcal_max-qcal_min)) * (swir2-qcal_min) + lmin7
toa_swir2 <- pi * rad_b7 * d^2 / 82.06 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_swir2
op_names [[j]] <- paste0("Raster no.", j, " is SWIR-2 band")
#writeRaster(toa_swir2,paste0(op_directory,"/","toa_swir2"),format="GTiff",overwrite=TRUE)
}
rm(j)
}
############## Landsat ETM ending ##################
############## Landsat TM starting ##################
if (satellite=="LT")
{
if (crop == "u")
{
b4 <- raster (paste0 (directory, "/", sat_fold, "_B4.TIF"))
b3 <- raster (paste0 (directory, "/", sat_fold, "_B3.TIF"))
b2 <- raster (paste0 (directory, "/", sat_fold, "_B2.TIF"))
stak <- stack(c (b4, b3, b2))
plotRGB(stak)
print("Please define your extent from the map in plot preview for further processing")
print("You can click on the top left of custom subset region followed by the bottom right")
ext <- drawExtent()
}
qcal_max <- 255
d <- 0
for (i in 1:count_i)
{
line <- meta_data[i]
line_splited <- strsplit(line," ")
words <- line_splited[[1]]
counts <- length(words)
for (j in 1:counts)
{
if (words[j]=="QUANTIZE_CAL_MIN_BAND_1"){ qcal_min <- as.double(words[j+2])}
if (words[j]=="DATE_ACQUIRED"){ data_aq <- as.character(words[j+2])}
if (words[j]=="SUN_ELEVATION"){ sun_ele <- as.double(words[j+2])}
if (words[j]=="EARTH_SUN_DISTANCE"){ d <- as.double(words[j+2])}
if (words[j]=="SPACECRAFT_ID"){ tm_id <- as.character(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_1"){ lmax1 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_2"){ lmax2 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_3"){ lmax3 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_4"){ lmax4 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_5"){ lmax5 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MAXIMUM_BAND_7"){ lmax7 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_1"){ lmin1 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_2"){ lmin2 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_3"){ lmin3 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_4"){ lmin4 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_5"){ lmin5 <- as.double(words[j+2])}
if (words[j]=="RADIANCE_MINIMUM_BAND_7"){ lmin7 <- as.double(words[j+2])}
}
}
if (tm_id=="\"LANDSAT_5\"")
{
esun2 <- 1827
esun3 <- 1551
esun4 <- 1036
esun5 <- 214.9
esun7 <- 80.65
}
if (tm_id!="\"LANDSAT_5\"")
{
esun2 <- 1826
esun3 <- 1554
esun4 <- 1033
esun5 <- 214.7
esun7 <- 80.70
}
if (d==0)
{
dat_tex <- as.Date(data_aq)
jul_ful <- julian(dat_tex)
yr_rmv_num <- jul_ful%/%365.25
jul_day <- jul_ful-(yr_rmv_num*365.25)+1.5
jul_flot <- jul_day%%365.25
jul_final <- as.integer(jul_flot)
d <- 1 + (0.0167 * sin ((pi/180) *2 *pi *(jul_final- 93.5) / 365))
}
if (b1==1)
{
blu <- raster(paste0(directory,"/",sat_fold,"_B1.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
blu <- crop(blu,ext)
if (crop=="f")
{
blu <- mask(blu,shape)
}
}
rad_b1 <- ((lmax1-lmin1)/(qcal_max-qcal_min)) * (blu-qcal_min) + lmin1
toa_blu <- pi * rad_b1 * d^2 / 1958 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_blu
op_names [[j]] <- paste0("Raster no.", j, " is Blue band")
#writeRaster(toa_blu,paste0(op_directory,"/","toa_blu"),format="GTiff",overwrite=TRUE)
}
if (b2==1)
{
green <- raster(paste0(directory,"/",sat_fold,"_B2.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
green <- crop(green,ext)
if (crop=="f")
{
green <- mask(green,shape)
}
}
rad_b2 <- ((lmax2-lmin2)/(qcal_max-qcal_min)) * (green-qcal_min) + lmin2
toa_green <- pi * rad_b2 * d^2 / esun2 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_green
op_names [[j]] <- paste0("Raster no.", j, " is Green band")
#writeRaster(toa_green,paste0(op_directory,"/","toa_green"),format="GTiff",overwrite=TRUE)
}
if (b3==1)
{
red <- raster(paste0(directory,"/",sat_fold,"_B3.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
red <- crop(red,ext)
if (crop=="f")
{
red <- mask(red,shape)
}
}
rad_b3 <- ((lmax3-lmin3)/(qcal_max-qcal_min)) * (red-qcal_min) + lmin3
toa_red <- pi * rad_b3 * d^2 / esun3 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_red
op_names [[j]] <- paste0("Raster no.", j, " is Red band")
#writeRaster(toa_red,paste0(op_directory,"/","toa_red"),format="GTiff",overwrite=TRUE)
}
if (b4==1)
{
nir <- raster(paste0(directory,"/",sat_fold,"_B4.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
nir <- crop(nir,ext)
if (crop=="f")
{
nir <- mask(nir,shape)
}
}
rad_b4 <- ((lmax4-lmin4)/(qcal_max-qcal_min)) * (nir-qcal_min) + lmin4
toa_nir <- pi * rad_b4 * d^2 / esun4 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_nir
op_names [[j]] <- paste0("Raster no.", j, " is NIR band")
#writeRaster(toa_nir,paste0(op_directory,"/","toa_nir"),format="GTiff",overwrite=TRUE)
}
if (b5==1)
{
swir1 <- raster(paste0(directory,"/",sat_fold,"_B5.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
swir1 <- crop(swir1,ext)
if (crop=="f")
{
swir1 <- mask(swir1,shape)
}
}
rad_b5 <- ((lmax5-lmin5)/(qcal_max-qcal_min)) * (swir1-qcal_min) + lmin5
toa_swir1 <- pi * rad_b5 * d^2 / esun5 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_swir1
op_names [[j]] <- paste0("Raster no.", j, " is SWIR-1 band")
#writeRaster(toa_swir1,paste0(op_directory,"/","toa_swir1"),format="GTiff",overwrite=TRUE)
}
if (b7==1)
{
swir2 <- raster(paste0(directory,"/",sat_fold,"_B7.TIF"))
if (crop == "y" || crop == "f" || crop == "u")
{
swir2 <- crop(swir2,ext)
if (crop=="f")
{
swir2 <- mask(swir2,shape)
}
}
rad_b7 <- ((lmax7-lmin7)/(qcal_max-qcal_min)) * (swir2-qcal_min) + lmin7
toa_swir2 <- pi * rad_b7 * d^2 / esun7 * sin(sun_ele*(pi/180))
j <- j+1
op_bands [[j]] <- toa_swir2
op_names [[j]] <- paste0("Raster no.", j, " is SWIR-2 band")
#writeRaster(toa_swir2,paste0(op_directory,"/","toa_swir2"),format="GTiff",overwrite=TRUE)
}
}
op <- list()
op [[1]] <- op_names
op [[2]] <- op_bands
return (op)
######## Landsat TM ending ############
cat("\nProgram finished, results will be located in the satellite folder")
}
############ TOA FINISHED #######################
# ESUN values are obtained from https://landsat.usgs.gov/esun
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