#' Mosaic a set of Landsat-7 or Landsat-8 images
#'
#' \code{lsMosaic} merges the Landsat-7 or Landsat-8 imagery that covers a
#' region of interest on the same dates.
#'
#' The function mosaics the imagery in the \code{src} folder. The folder can
#' hold GTiff images from several tiles, dates and bands. When only a subset
#' of dates has to be mosaicked, the dates should be provided through the
#' argument \code{dateFilter}. The dates must be provided as a \code{Date}
#' class objects. For further details about the \code{bFilter} argument go
#' to \code{\link{lsDownload}}.Once mosaicked, the images can be cropped to fit
#' the extent (optional). The extent can be defined in any coordinate reference
#' system, since \code{lsMosaic} automatically reprojects the extent to match
#' the projection of the image. The outputs are placed in the \code{AppRoot}
#' directory, under the folder named as \code{out.name}. If no name is provided,
#' the folder isn named “outfile”. To use `\code{gutils = TRUE}', a proper installation of `GDAL'
#' and the `\code{gdalUtils}' library is required. This method is faster than
#' native `R' functions.
#'
#' @param src the path to the folder with the Landsat-7 or Landsa-8 images in
#' GTiff format.
#' @param out.name the name of the folder that stores the outputs. By default,
#' “outfile” is assigned.
#' @param AppRoot the directory to save the mosaicked images.
#' @param region a \code{Spatial*}, projected \code{raster*}, or \code{sf} class object
#' defining the area of interest.
#' @param overwrite logical argument. If \code{TRUE}, overwrites the existing
#' images with the same name.
#' @param gutils logical argument. If \code{TRUE}, the function uses `GDAL'
#' utilities for mosaicking.
#' @param verbose logical argument. If \code{TRUE}, the function prints the
#' running steps and warnings.
#' @param ... arguments for nested functions:
#' \itemize{
#' \item \code{pathrow} a list of vectors with the path and row numbers of
#' the tiles concerning the region of interest. This argument is mandatory if
#' \code{region} is not provided.
#' \item \code{bFilter} a vector with the bands to be mosaicked. If not
#' supplied, all bands are mosaicked.
#' \item \code{dates} a vector with the capturing dates being considered
#' for mosaicking. If not supplied, all dates are mosaicked.
#' }
#' @return this function does not return anything. It saves the imagery in the
#' \code{AppRoot} directory.
#' @examples
#' \dontrun{
#' # load a spatial polygon object of Navarre
#' data(ex.navarre)
#' # main output directory
#' wdir <- file.path(tempdir(),"Path_for_downloading_folder")
#' print(wdir)
#' # download Landsat-8 images
#' lsDownSearch(satellite = "ls8",
#' username = "username",
#' password = "password",
#' startDate = as.Date("01-01-2018", "%d-%m-%Y"),
#' endDate = as.Date("20-01-2018", "%d-%m-%Y"),
#' extent = ex.navarre,
#' untar = TRUE,
#' AppRoot = wdir)
#' # folder with the Landsat-8 untared images
#' wdir.ls8 <- file.path(wdir, "Landsat8")
#' tif.src <- file.path(wdir.ls8,"untar")
#' # mosaic the Landsat-8 images
#' lsMosaic(src = tif.src,
#' AppRoot = wdir.ls8,
#' out.name = "Navarre",
#' extent = ex.navarre,
#' gutils = TRUE, # using gdalUtils
#' overwrite = TRUE) # overwrite
#' }
lsMosaic<-function(src,
AppRoot,
region,
out.name="outfile",
verbose=FALSE,
gutils=TRUE,
overwrite=FALSE,
...){
arg<-list(...)
src<-pathWinLx(src)
AppRoot<-pathWinLx(AppRoot)
#read all folder names to get all the days
imgFolders<-list.files(src,full.names = TRUE)
#remove folders
#imgFolders<-imgFolders[nchar(basename(imgFolders))==21]
if(length(imgFolders)==0)stop(paste0("No images found in ",src," path."))
dates<-unique(lsGetDates(imgFolders))
bpath<-file.path(AppRoot,out.name)
#filter dates
if("dates"%in%names(arg)){
dates<-dates[dates%in%arg$dates]
}
#definition of bands names
if(any(grepl("LE",imgFolders))){
message("Landsat-7 images detected!")
dtype<-paste0(getRGISToolsOpt("LS7BANDS"),".tif")
qcband<-getRGISToolsOpt("LS7BANDS")["quality"]
}else if(any(grepl("LC",imgFolders))){
message("Landsat-8 images detected!")
dtype<-paste0(getRGISToolsOpt("LS8BANDS"),".tif")
qcband<-getRGISToolsOpt("LS8BANDS")["quality"]
}else{
stop("Satellite not supported for Day mosaicing.")
}
#manage level 2 bands
if(nchar(basename(imgFolders[1]))!=21){
message("Level-2 images detected!")
dtype<-gsub("B","band",dtype)
dtype<-c(dtype[-which(dtype%in%"bandQA.tif")],"pixel_qa.tif","radsat_qa.tif","sr_aerosol.tif")
qcband<-c("pixel_qa.tif","radsat_qa.tif","sr_aerosol.tif")
lvl2=TRUE
}else{
lvl2=FALSE
}
for(d in 1:length(dates)){
#filter the images to one day
dayImg<-imgFolders[lsGetDates(imgFolders)%in%dates[d]]
if(length(dayImg)<1){
if(verbose)
warning(paste0("No tiles for date ",dates[d]))
next #breaks one iteration only
}
#filter the images by pathrow
if("pathrow"%in%names(arg)){
prstr<-c()
for(pr in arg$pathrow){
prstr<-c(prstr,paste0(sprintf("%03d",pr[1]),sprintf("%03d",pr[2])))
}
dayImg<-dayImg[lsGetPathRow(dayImg)%in%prstr]
stopifnot(length(dayImg)>0)
}
flist<-list.files(dayImg,recursive=TRUE,
full.names=TRUE,
pattern="\\.tif$",
ignore.case = TRUE)
#filter the images by data type
if("bFilter"%in%names(arg)){
flist<-flist[Reduce("|", lapply(arg$bFilter,grepl,flist))]
dtype<-dtype[Reduce("|", lapply(arg$bFilter,grepl,dtype))]
}
if(gutils){
message(paste0("Merging and constraining the extent of the image at ",dates[d]," using gdalUtils library"))
}else{
message(paste0("Merging and cutting for day ",dates[d]," using raster library"))
}
AppRoot<-file.path(bpath,format(dates[d],"%Y%j"))
dir.create(AppRoot,recursive = TRUE,showWarnings = verbose)
for(dt in 1:length(dtype)){
if(lvl2){
bname<-gsub("band","B",dtype[dt])
}else{
bname<-dtype[dt]
}
out.file.path<-file.path(AppRoot,paste0(out.name,"_",format(dates[d],"%Y%j"),"_",bname))
if(verbose){message(paste0("Out file: ",out.file.path))}
if((!file.exists(out.file.path))|overwrite){
typechunks<-flist[grepl(dtype[dt], flist, ignore.case = TRUE)]
if(length(typechunks)==0)next
if(!gutils){
#mosaic with native R libraries
typechunks<-lapply(typechunks,raster)
typechunks<-lapply(typechunks,readAll)
tryCatch(
{
if(verbose){message("Mosaicking images...")}
img <- genMosaicList(typechunks,verbose)
},
error=function(cond) {
if(any(grepl("different CRS",cond))){
message(paste0("Different CRS when mosaicing tiles!\nProjecting to the same CRS..."))
typechunks<-lapply(typechunks,projectRaster,to=typechunks[[1]])
img<- genMosaicList(typechunks,verbose)
}else if(any(grepl("subscript out of bounds",cond))){
warning("Tile for ",dt," not found! Check ",d," date image forders for extrating errors.")
}else{
stop(cond)
}
})
if(!missing(region)){
region<-transform_multiple_proj(region)
#TODO remove as spatial using raster v3 package
c_region<-as(region, 'Spatial')
img<-crop(img,c_region)
if("cutline"%in%names(arg)){
img<-mask(img,c_region)
}
}
writeRaster(img,out.file.path,overwrite=overwrite)
}else{
#mosaic with gdalutils no supporting cutline
if(any(grepl(qcband,dtype[dt]))){
nodata<-1
}else if(lvl2){
nodata<--9999
}else{
nodata<-0
}
if(verbose){
message(paste0("Nodata to ",nodata))
message(paste0("Chunks ",typechunks))
}
if(missing(region)){
temp<-gsub(".tif","_temp.vrt",out.file.path,fixed = TRUE)
mknext=genMosaicGdalUtils(typechunks=typechunks,
temp=temp,
nodata=nodata,
out.name=out.file.path)
if(!mknext) next
}else{
ext<-extent(region)
temp<-file.path(AppRoot,paste0(out.name,"_",format(dates[d],"%Y%j"),"_",gsub(".tif","",dtype[dt],fixed = TRUE),"_temp.vrt"))
out.tmp<-gsub(".tif","_tmp.tif",out.file.path,fixed = TRUE)
mknext=genMosaicGdalUtils(typechunks=typechunks,
temp=temp,
nodata=nodata,
out.name=out.tmp)
if(!mknext) next
gdal_utils(util = "warp",
source =out.tmp,
destination = out.file.path,
options=c("-te",ext@xmin,ext@ymin,ext@xmax,ext@ymax,"-te_srs",st_crs(region)$proj4string)
)
suppressWarnings(file.remove(out.tmp, showWarnings = FALSE))
}
}
}else{
if(verbose){
warning("File exists! not mergin...")
}
}
}
}
message(paste0("Region saved in HDD.\nFiles in: ",bpath))
}
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