In getlandsat: Get Landsat 8 Data from Amazon Public Data Sets

getlandsat introduction

Get Landsat 8 Data from AWS public data sets. Includes functions for listing images and fetching them.

Install

Dev version

devtools::install_github(c("ropensci/getlandsat"))

library("getlandsat")

List scenes

(res <- lsat_scenes(n_max = 10))
#> # A tibble: 10 x 11
#>                 entityId     acquisitionDate cloudCover processingLevel
#>                    <chr>              <time>      <dbl>           <chr>
#> 1  LC80101172015002LGN00 2015-01-02 15:49:05      80.81            L1GT
#> 2  LC80260392015002LGN00 2015-01-02 16:56:51      90.84            L1GT
#> 3  LC82270742015002LGN00 2015-01-02 13:53:02      83.44            L1GT
#> 4  LC82270732015002LGN00 2015-01-02 13:52:38      52.29             L1T
#> 5  LC82270622015002LGN00 2015-01-02 13:48:14      38.85             L1T
#> 6  LC82111152015002LGN00 2015-01-02 12:30:31      22.93            L1GT
#> 7  LC81791202015002LGN00 2015-01-02 09:14:45       7.67            L1GT
#> 8  LC82111112015002LGN00 2015-01-02 12:28:55      43.43            L1GT
#> 9  LC81950292015002LGN00 2015-01-02 10:17:20      21.02             L1T
#> 10 LC81790452015002LGN00 2015-01-02 08:44:49       1.92             L1T
#> # ... with 7 more variables: path <int>, row <int>, min_lat <dbl>,
#> #   min_lon <dbl>, max_lat <dbl>, max_lon <dbl>, download_url <chr>

List scene files

lsat_scene_files(x = res$download_url[1])
#>                                 file    size
#> 1   LC80101172015002LGN00_B4.TIF.ovr   7.7MB
#> 2  LC80101172015002LGN00_B11.TIF.ovr  17.0KB
#> 3       LC80101172015002LGN00_B5.TIF  56.8MB
#> 4      LC80101172015002LGN00_BQA.TIF   2.7MB
#> 5      LC80101172015002LGN00_MTL.txt   7.5KB
#> 6   LC80101172015002LGN00_B5.TIF.ovr   7.8MB
#> 7   LC80101172015002LGN00_B2.TIF.ovr   7.5MB
#> 8   LC80101172015002LGN00_B1.TIF.ovr   7.5MB
#> 9   LC80101172015002LGN00_B7.TIF.ovr   7.9MB
#> 10      LC80101172015002LGN00_B4.TIF  55.4MB
#> 11      LC80101172015002LGN00_B8.TIF 212.3MB
#> 12  LC80101172015002LGN00_B3.TIF.ovr   7.6MB
#> 13      LC80101172015002LGN00_B3.TIF  54.4MB
#> 14      LC80101172015002LGN00_B2.TIF  54.0MB
#> 15 LC80101172015002LGN00_B10.TIF.ovr  17.0KB
#> 16  LC80101172015002LGN00_B6.TIF.ovr   7.9MB
#> 17  LC80101172015002LGN00_B9.TIF.ovr   7.0MB
#> 18     LC80101172015002LGN00_B11.TIF   0.1MB
#> 19  LC80101172015002LGN00_B8.TIF.ovr  29.0MB
#> 20      LC80101172015002LGN00_B1.TIF  54.2MB
#> 21     LC80101172015002LGN00_B10.TIF   0.1MB
#> 22      LC80101172015002LGN00_B6.TIF  58.0MB
#> 23 LC80101172015002LGN00_BQA.TIF.ovr   0.6MB
#> 24      LC80101172015002LGN00_B7.TIF  58.0MB
#> 25      LC80101172015002LGN00_B9.TIF  49.6MB

Get an image

Returns path to the image

lsat_image(x = "LC80101172015002LGN00_B5.TIF")
#> [1] "/Users/sacmac/Library/Caches/landsat-pds/L8/010/117/LC80101172015002LGN00/LC80101172015002LGN00_B5.TIF"

Another one

lsat_image("LC80010032014272LGN00_B10.TIF")
#> [1] "/Users/sacmac/Library/Caches/landsat-pds/L8/001/003/LC80010032014272LGN00/LC80010032014272LGN00_B10.TIF"

Caching

When requesting an image, we first check if you already have that image. If you do, we return the path to the file. If not, we get the image, and return the file path.

lsat_image(x = "LC80101172015002LGN00_B5.TIF")
#> File in cache
#> [1] "/Users/sacmac/Library/Caches/landsat-pds/L8/010/117/LC80101172015002LGN00/LC80101172015002LGN00_B5.TIF"

Note the message given.

See ?lsat_cache for cache management functions.

Visualize

library("raster")
x <- lsat_cache_details()
img <- raster(x[[1]]$file)
plot(img)

getlandsat documentation built on May 2, 2019, 2:37 a.m.