spatialEco (version 1.3-2)

oli.asw: Query AWS-OLI

Description

Query of Amazon AWS OLI-Landsat 8 cloud service

Usage

oli.asw(path, row, dates, cloud.cover = 10, processing)

Arguments

path

landsat path

row

landsat row

dates

dates, single or start-stop range in YYYY-MM-DD format

cloud.cover

percent cloud cover

processing

processing level ("L1GT" or "L1T")

Value

data.frame object with:

• entityId - Granule ID

• L = Landsat

• X = Sensor

• SS = Satellite

• PPP = WRS path

• RRR = WRS row

• YYYYMMDD = Acquisition date

• yyyymmdd = Processing date

• CC = Collection number

• TX = Collection category

• acquisitionDate - POSIXct YYYY-MM-DD (eg., 2015-01-02)

• cloudCover -

• processingLevel - USGS processing level

• path - Landsat path

• row - Landsat row

Examples

# NOT RUN {
# Query path 126, row 59, 2013-04-15 to 2017-03-09, <20% cloud cover    
( p126r59.oli <- oli.asw(path=126, row=59, dates = c("2013-04-15", "2017-03-09"), 
                          cloud.cover = 20) )

# Download images from query
 bands <- c("_B1.TIF", "_B2.TIF", "_B3.TIF", "_B4.TIF", "_B5.TIF", 
            "_B6.TIF","_B7.TIF", "_B8.TIF", "_B9.TIF", "_B10.TIF",
         "_B11.TIF", "_BQA.TIF","_MTL.txt") 
  for(i in 1:length(p126r59.oli$download_url)) {
    oli.url <- gsub("/index.html","",p126r59.oli$download_url[i])
 all.bands <- paste(oli.url, paste0(unlist(strsplit(oli.url, "/"))[8], bands), sep="/")
   for(j in all.bands) {  
        try(utils::download.file(url=j, destfile=basename(j), mode = "wb"))
       }		 
  }
# }
# NOT RUN {
# }