Compressing georeferenced images





.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ margin-bottom:0;
}







1















I have a bunch of georeferenced TIFF images created in QGIS. The person creating them saved them as uncompressed (around 1 GB each).
I would like to compress them as LZW to save space.



How can I do that in a programmatic way (e.g. batch)?



I am open to QGIS or R approches. Please consider I do not know how Georeferencing information are attached to an image (e.g. I have seen somewhere references to a world file, but I do not know what it is).










share|improve this question




















  • 2





    TIFF files can be georeferenced in one of two ways: (1) Georeferencing information is embedded in the TIFF file as part of the metadata, so you only have one file, with the extension .tif or .tiff. (2) Georeferencing information is written in a second, ("sidecar") file with the extension .tfw, alongside the TIFF file. If you want more information about how georeferencing info is attached to a tiff file, read this Wikipedia article.

    – csk
    11 hours ago


















1















I have a bunch of georeferenced TIFF images created in QGIS. The person creating them saved them as uncompressed (around 1 GB each).
I would like to compress them as LZW to save space.



How can I do that in a programmatic way (e.g. batch)?



I am open to QGIS or R approches. Please consider I do not know how Georeferencing information are attached to an image (e.g. I have seen somewhere references to a world file, but I do not know what it is).










share|improve this question




















  • 2





    TIFF files can be georeferenced in one of two ways: (1) Georeferencing information is embedded in the TIFF file as part of the metadata, so you only have one file, with the extension .tif or .tiff. (2) Georeferencing information is written in a second, ("sidecar") file with the extension .tfw, alongside the TIFF file. If you want more information about how georeferencing info is attached to a tiff file, read this Wikipedia article.

    – csk
    11 hours ago














1












1








1








I have a bunch of georeferenced TIFF images created in QGIS. The person creating them saved them as uncompressed (around 1 GB each).
I would like to compress them as LZW to save space.



How can I do that in a programmatic way (e.g. batch)?



I am open to QGIS or R approches. Please consider I do not know how Georeferencing information are attached to an image (e.g. I have seen somewhere references to a world file, but I do not know what it is).










share|improve this question
















I have a bunch of georeferenced TIFF images created in QGIS. The person creating them saved them as uncompressed (around 1 GB each).
I would like to compress them as LZW to save space.



How can I do that in a programmatic way (e.g. batch)?



I am open to QGIS or R approches. Please consider I do not know how Georeferencing information are attached to an image (e.g. I have seen somewhere references to a world file, but I do not know what it is).







qgis r georeferencing compression






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited 11 hours ago









Vince

14.8k32850




14.8k32850










asked 11 hours ago









FilippoFilippo

7918




7918








  • 2





    TIFF files can be georeferenced in one of two ways: (1) Georeferencing information is embedded in the TIFF file as part of the metadata, so you only have one file, with the extension .tif or .tiff. (2) Georeferencing information is written in a second, ("sidecar") file with the extension .tfw, alongside the TIFF file. If you want more information about how georeferencing info is attached to a tiff file, read this Wikipedia article.

    – csk
    11 hours ago














  • 2





    TIFF files can be georeferenced in one of two ways: (1) Georeferencing information is embedded in the TIFF file as part of the metadata, so you only have one file, with the extension .tif or .tiff. (2) Georeferencing information is written in a second, ("sidecar") file with the extension .tfw, alongside the TIFF file. If you want more information about how georeferencing info is attached to a tiff file, read this Wikipedia article.

    – csk
    11 hours ago








2




2





TIFF files can be georeferenced in one of two ways: (1) Georeferencing information is embedded in the TIFF file as part of the metadata, so you only have one file, with the extension .tif or .tiff. (2) Georeferencing information is written in a second, ("sidecar") file with the extension .tfw, alongside the TIFF file. If you want more information about how georeferencing info is attached to a tiff file, read this Wikipedia article.

– csk
11 hours ago





TIFF files can be georeferenced in one of two ways: (1) Georeferencing information is embedded in the TIFF file as part of the metadata, so you only have one file, with the extension .tif or .tiff. (2) Georeferencing information is written in a second, ("sidecar") file with the extension .tfw, alongside the TIFF file. If you want more information about how georeferencing info is attached to a tiff file, read this Wikipedia article.

– csk
11 hours ago










2 Answers
2






active

oldest

votes


















2














You can do this using the command line tool gdal_translate. This is available for Windows, Linux, and Mac OSs (you don't state your OS).



Running:



gdalinfo none.tif


will show the info on the file, including the compression type and the locations:



Driver: GTiff/GeoTIFF
Files: none.tif
Size is 204, 228
Coordinate System is:
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]]
Origin = (96.546435160745574,17.535114346013060)
Pixel Size = (0.004491576420598,-0.004491576420598)
Metadata:
AREA_OR_POINT=Area
Image Structure Metadata:
INTERLEAVE=PIXEL
Corner Coordinates:
Upper Left ( 96.5464352, 17.5351143) ( 96d32'47.17"E, 17d32' 6.41"N)
Lower Left ( 96.5464352, 16.5110349) ( 96d32'47.17"E, 16d30'39.73"N)
Upper Right ( 97.4627168, 17.5351143) ( 97d27'45.78"E, 17d32' 6.41"N)
Lower Right ( 97.4627168, 16.5110349) ( 97d27'45.78"E, 16d30'39.73"N)
Center ( 97.0045760, 17.0230746) ( 97d 0'16.47"E, 17d 1'23.07"N)
[etc]


it doesn't mention a compression type, because it doesn't have one. If your GeoTIFFs aren't compressed they should also not say anything. Note the spatial information is stored in geoTIFF chunks and is output as a bounding box corner set. Great.



Let's compress it. Uncompressed file is 4.7Mb:



$ ls -hs none.tif 
4.7M none.tif


Run this:



$ gdal_translate none.tif lzw.tif -co COMPRESS=LZW
Input file size is 204, 228
0...10...20...30...40...50...60...70...80...90...100 - done.


and get



$ ls -hs lzw.tif 
1.6M lzw.tif


1.6Mbytes in LZW compressed form. Again gdalinfo shows:



$ gdalinfo lzw.tif 
Driver: GTiff/GeoTIFF
Files: lzw.tif
Size is 204, 228
Coordinate System is:
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]]
Origin = (96.546435160745574,17.535114346013060)
Pixel Size = (0.004491576420598,-0.004491576420598)
Metadata:
AREA_OR_POINT=Area
Image Structure Metadata:
COMPRESSION=LZW
INTERLEAVE=PIXEL
Corner Coordinates:
[etc]


Note the COMPRESSION=LZW message.



Loop over your files using your command line interpreter loop functions.



You might also be able to do this via the gdalUtils package in R which will run these command line commands via a shell.



Indeed for my test file:



library(gdalUtils)
gdal_translate(
src_dataset="none.tif",
dst_dataset="lzwR.tif",
co="COMPRESS=LZW")


results in a byte-for-byte identical output file.






share|improve this answer





















  • 1





    some other -co to consider and offers additional compression (lossless) are -mo "INTERLEAVE=PIXEL" -co "INTERLEAVE=PIXEL" -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2"

    – SaultDon
    9 hours ago



















2














In addition to @Spacedman's answer, you can set up a loop in R to compress tiffs using LZW with the writeRaster function in the raster package, which still uses GDAL. The options argument allows you to apply LZW compression.



In this example, the file is not overwritten but rather has an "_LZW" appended to the original name. To just overwrite the original file you can omit the paste0 function in writeRaster and just use the file iterator (ie., rfiles[i]). You could also paste a directory path into the file name to aim the compressed files to a different directory. If the tif files are multi-band then you would use stack rather than raster to read the data.



library(raster)
setwd("C:/...")
rfiles <- list.files(getwd(), "tif$")
for(i in 1:length(rfiles)) {
r <- raster::raster(rfiles[i])
raster::writeRaster(r, paste0(gsub(pattern = "\.tif$", "",
rfiles[i]), "_LZW", ".tif"), overwrite=TRUE,
options="COMPRESS=LZW")
}





share|improve this answer
























  • Thanks Jeffrey Evans and @Spacedman. Just for clarity. I assume that an image georeferenced in qgis and saved as .tif is a geoTif. is this correct? if not... will the solutions you both proposed work anyway?

    – Filippo
    9 hours ago











  • I'd be concerned that this would read in the entire +1Gb files. Might not be too efficient. The GDAL command line routines are pretty well optimised.

    – Spacedman
    9 hours ago











  • A "geoTIFF" is a TIFF with special metadata blocks in it that give it a spatial reference. Rasters saved from QGIS should have this data and so be valid geoTIFFs - check with the gdalinfo command line or gdalUtils package.

    – Spacedman
    9 hours ago












Your Answer








StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "79"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);

StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});

function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});


}
});














draft saved

draft discarded


















StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fgis.stackexchange.com%2fquestions%2f318858%2fcompressing-georeferenced-images%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown

























2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes









2














You can do this using the command line tool gdal_translate. This is available for Windows, Linux, and Mac OSs (you don't state your OS).



Running:



gdalinfo none.tif


will show the info on the file, including the compression type and the locations:



Driver: GTiff/GeoTIFF
Files: none.tif
Size is 204, 228
Coordinate System is:
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]]
Origin = (96.546435160745574,17.535114346013060)
Pixel Size = (0.004491576420598,-0.004491576420598)
Metadata:
AREA_OR_POINT=Area
Image Structure Metadata:
INTERLEAVE=PIXEL
Corner Coordinates:
Upper Left ( 96.5464352, 17.5351143) ( 96d32'47.17"E, 17d32' 6.41"N)
Lower Left ( 96.5464352, 16.5110349) ( 96d32'47.17"E, 16d30'39.73"N)
Upper Right ( 97.4627168, 17.5351143) ( 97d27'45.78"E, 17d32' 6.41"N)
Lower Right ( 97.4627168, 16.5110349) ( 97d27'45.78"E, 16d30'39.73"N)
Center ( 97.0045760, 17.0230746) ( 97d 0'16.47"E, 17d 1'23.07"N)
[etc]


it doesn't mention a compression type, because it doesn't have one. If your GeoTIFFs aren't compressed they should also not say anything. Note the spatial information is stored in geoTIFF chunks and is output as a bounding box corner set. Great.



Let's compress it. Uncompressed file is 4.7Mb:



$ ls -hs none.tif 
4.7M none.tif


Run this:



$ gdal_translate none.tif lzw.tif -co COMPRESS=LZW
Input file size is 204, 228
0...10...20...30...40...50...60...70...80...90...100 - done.


and get



$ ls -hs lzw.tif 
1.6M lzw.tif


1.6Mbytes in LZW compressed form. Again gdalinfo shows:



$ gdalinfo lzw.tif 
Driver: GTiff/GeoTIFF
Files: lzw.tif
Size is 204, 228
Coordinate System is:
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]]
Origin = (96.546435160745574,17.535114346013060)
Pixel Size = (0.004491576420598,-0.004491576420598)
Metadata:
AREA_OR_POINT=Area
Image Structure Metadata:
COMPRESSION=LZW
INTERLEAVE=PIXEL
Corner Coordinates:
[etc]


Note the COMPRESSION=LZW message.



Loop over your files using your command line interpreter loop functions.



You might also be able to do this via the gdalUtils package in R which will run these command line commands via a shell.



Indeed for my test file:



library(gdalUtils)
gdal_translate(
src_dataset="none.tif",
dst_dataset="lzwR.tif",
co="COMPRESS=LZW")


results in a byte-for-byte identical output file.






share|improve this answer





















  • 1





    some other -co to consider and offers additional compression (lossless) are -mo "INTERLEAVE=PIXEL" -co "INTERLEAVE=PIXEL" -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2"

    – SaultDon
    9 hours ago
















2














You can do this using the command line tool gdal_translate. This is available for Windows, Linux, and Mac OSs (you don't state your OS).



Running:



gdalinfo none.tif


will show the info on the file, including the compression type and the locations:



Driver: GTiff/GeoTIFF
Files: none.tif
Size is 204, 228
Coordinate System is:
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]]
Origin = (96.546435160745574,17.535114346013060)
Pixel Size = (0.004491576420598,-0.004491576420598)
Metadata:
AREA_OR_POINT=Area
Image Structure Metadata:
INTERLEAVE=PIXEL
Corner Coordinates:
Upper Left ( 96.5464352, 17.5351143) ( 96d32'47.17"E, 17d32' 6.41"N)
Lower Left ( 96.5464352, 16.5110349) ( 96d32'47.17"E, 16d30'39.73"N)
Upper Right ( 97.4627168, 17.5351143) ( 97d27'45.78"E, 17d32' 6.41"N)
Lower Right ( 97.4627168, 16.5110349) ( 97d27'45.78"E, 16d30'39.73"N)
Center ( 97.0045760, 17.0230746) ( 97d 0'16.47"E, 17d 1'23.07"N)
[etc]


it doesn't mention a compression type, because it doesn't have one. If your GeoTIFFs aren't compressed they should also not say anything. Note the spatial information is stored in geoTIFF chunks and is output as a bounding box corner set. Great.



Let's compress it. Uncompressed file is 4.7Mb:



$ ls -hs none.tif 
4.7M none.tif


Run this:



$ gdal_translate none.tif lzw.tif -co COMPRESS=LZW
Input file size is 204, 228
0...10...20...30...40...50...60...70...80...90...100 - done.


and get



$ ls -hs lzw.tif 
1.6M lzw.tif


1.6Mbytes in LZW compressed form. Again gdalinfo shows:



$ gdalinfo lzw.tif 
Driver: GTiff/GeoTIFF
Files: lzw.tif
Size is 204, 228
Coordinate System is:
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]]
Origin = (96.546435160745574,17.535114346013060)
Pixel Size = (0.004491576420598,-0.004491576420598)
Metadata:
AREA_OR_POINT=Area
Image Structure Metadata:
COMPRESSION=LZW
INTERLEAVE=PIXEL
Corner Coordinates:
[etc]


Note the COMPRESSION=LZW message.



Loop over your files using your command line interpreter loop functions.



You might also be able to do this via the gdalUtils package in R which will run these command line commands via a shell.



Indeed for my test file:



library(gdalUtils)
gdal_translate(
src_dataset="none.tif",
dst_dataset="lzwR.tif",
co="COMPRESS=LZW")


results in a byte-for-byte identical output file.






share|improve this answer





















  • 1





    some other -co to consider and offers additional compression (lossless) are -mo "INTERLEAVE=PIXEL" -co "INTERLEAVE=PIXEL" -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2"

    – SaultDon
    9 hours ago














2












2








2







You can do this using the command line tool gdal_translate. This is available for Windows, Linux, and Mac OSs (you don't state your OS).



Running:



gdalinfo none.tif


will show the info on the file, including the compression type and the locations:



Driver: GTiff/GeoTIFF
Files: none.tif
Size is 204, 228
Coordinate System is:
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]]
Origin = (96.546435160745574,17.535114346013060)
Pixel Size = (0.004491576420598,-0.004491576420598)
Metadata:
AREA_OR_POINT=Area
Image Structure Metadata:
INTERLEAVE=PIXEL
Corner Coordinates:
Upper Left ( 96.5464352, 17.5351143) ( 96d32'47.17"E, 17d32' 6.41"N)
Lower Left ( 96.5464352, 16.5110349) ( 96d32'47.17"E, 16d30'39.73"N)
Upper Right ( 97.4627168, 17.5351143) ( 97d27'45.78"E, 17d32' 6.41"N)
Lower Right ( 97.4627168, 16.5110349) ( 97d27'45.78"E, 16d30'39.73"N)
Center ( 97.0045760, 17.0230746) ( 97d 0'16.47"E, 17d 1'23.07"N)
[etc]


it doesn't mention a compression type, because it doesn't have one. If your GeoTIFFs aren't compressed they should also not say anything. Note the spatial information is stored in geoTIFF chunks and is output as a bounding box corner set. Great.



Let's compress it. Uncompressed file is 4.7Mb:



$ ls -hs none.tif 
4.7M none.tif


Run this:



$ gdal_translate none.tif lzw.tif -co COMPRESS=LZW
Input file size is 204, 228
0...10...20...30...40...50...60...70...80...90...100 - done.


and get



$ ls -hs lzw.tif 
1.6M lzw.tif


1.6Mbytes in LZW compressed form. Again gdalinfo shows:



$ gdalinfo lzw.tif 
Driver: GTiff/GeoTIFF
Files: lzw.tif
Size is 204, 228
Coordinate System is:
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]]
Origin = (96.546435160745574,17.535114346013060)
Pixel Size = (0.004491576420598,-0.004491576420598)
Metadata:
AREA_OR_POINT=Area
Image Structure Metadata:
COMPRESSION=LZW
INTERLEAVE=PIXEL
Corner Coordinates:
[etc]


Note the COMPRESSION=LZW message.



Loop over your files using your command line interpreter loop functions.



You might also be able to do this via the gdalUtils package in R which will run these command line commands via a shell.



Indeed for my test file:



library(gdalUtils)
gdal_translate(
src_dataset="none.tif",
dst_dataset="lzwR.tif",
co="COMPRESS=LZW")


results in a byte-for-byte identical output file.






share|improve this answer















You can do this using the command line tool gdal_translate. This is available for Windows, Linux, and Mac OSs (you don't state your OS).



Running:



gdalinfo none.tif


will show the info on the file, including the compression type and the locations:



Driver: GTiff/GeoTIFF
Files: none.tif
Size is 204, 228
Coordinate System is:
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]]
Origin = (96.546435160745574,17.535114346013060)
Pixel Size = (0.004491576420598,-0.004491576420598)
Metadata:
AREA_OR_POINT=Area
Image Structure Metadata:
INTERLEAVE=PIXEL
Corner Coordinates:
Upper Left ( 96.5464352, 17.5351143) ( 96d32'47.17"E, 17d32' 6.41"N)
Lower Left ( 96.5464352, 16.5110349) ( 96d32'47.17"E, 16d30'39.73"N)
Upper Right ( 97.4627168, 17.5351143) ( 97d27'45.78"E, 17d32' 6.41"N)
Lower Right ( 97.4627168, 16.5110349) ( 97d27'45.78"E, 16d30'39.73"N)
Center ( 97.0045760, 17.0230746) ( 97d 0'16.47"E, 17d 1'23.07"N)
[etc]


it doesn't mention a compression type, because it doesn't have one. If your GeoTIFFs aren't compressed they should also not say anything. Note the spatial information is stored in geoTIFF chunks and is output as a bounding box corner set. Great.



Let's compress it. Uncompressed file is 4.7Mb:



$ ls -hs none.tif 
4.7M none.tif


Run this:



$ gdal_translate none.tif lzw.tif -co COMPRESS=LZW
Input file size is 204, 228
0...10...20...30...40...50...60...70...80...90...100 - done.


and get



$ ls -hs lzw.tif 
1.6M lzw.tif


1.6Mbytes in LZW compressed form. Again gdalinfo shows:



$ gdalinfo lzw.tif 
Driver: GTiff/GeoTIFF
Files: lzw.tif
Size is 204, 228
Coordinate System is:
GEOGCS["WGS 84",
DATUM["WGS_1984",
SPHEROID["WGS 84",6378137,298.257223563,
AUTHORITY["EPSG","7030"]],
AUTHORITY["EPSG","6326"]],
PRIMEM["Greenwich",0],
UNIT["degree",0.0174532925199433],
AUTHORITY["EPSG","4326"]]
Origin = (96.546435160745574,17.535114346013060)
Pixel Size = (0.004491576420598,-0.004491576420598)
Metadata:
AREA_OR_POINT=Area
Image Structure Metadata:
COMPRESSION=LZW
INTERLEAVE=PIXEL
Corner Coordinates:
[etc]


Note the COMPRESSION=LZW message.



Loop over your files using your command line interpreter loop functions.



You might also be able to do this via the gdalUtils package in R which will run these command line commands via a shell.



Indeed for my test file:



library(gdalUtils)
gdal_translate(
src_dataset="none.tif",
dst_dataset="lzwR.tif",
co="COMPRESS=LZW")


results in a byte-for-byte identical output file.







share|improve this answer














share|improve this answer



share|improve this answer








edited 10 hours ago

























answered 10 hours ago









SpacedmanSpacedman

25k23551




25k23551








  • 1





    some other -co to consider and offers additional compression (lossless) are -mo "INTERLEAVE=PIXEL" -co "INTERLEAVE=PIXEL" -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2"

    – SaultDon
    9 hours ago














  • 1





    some other -co to consider and offers additional compression (lossless) are -mo "INTERLEAVE=PIXEL" -co "INTERLEAVE=PIXEL" -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2"

    – SaultDon
    9 hours ago








1




1





some other -co to consider and offers additional compression (lossless) are -mo "INTERLEAVE=PIXEL" -co "INTERLEAVE=PIXEL" -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2"

– SaultDon
9 hours ago





some other -co to consider and offers additional compression (lossless) are -mo "INTERLEAVE=PIXEL" -co "INTERLEAVE=PIXEL" -co "TILED=YES" -co "COMPRESS=LZW" -co "PREDICTOR=2"

– SaultDon
9 hours ago













2














In addition to @Spacedman's answer, you can set up a loop in R to compress tiffs using LZW with the writeRaster function in the raster package, which still uses GDAL. The options argument allows you to apply LZW compression.



In this example, the file is not overwritten but rather has an "_LZW" appended to the original name. To just overwrite the original file you can omit the paste0 function in writeRaster and just use the file iterator (ie., rfiles[i]). You could also paste a directory path into the file name to aim the compressed files to a different directory. If the tif files are multi-band then you would use stack rather than raster to read the data.



library(raster)
setwd("C:/...")
rfiles <- list.files(getwd(), "tif$")
for(i in 1:length(rfiles)) {
r <- raster::raster(rfiles[i])
raster::writeRaster(r, paste0(gsub(pattern = "\.tif$", "",
rfiles[i]), "_LZW", ".tif"), overwrite=TRUE,
options="COMPRESS=LZW")
}





share|improve this answer
























  • Thanks Jeffrey Evans and @Spacedman. Just for clarity. I assume that an image georeferenced in qgis and saved as .tif is a geoTif. is this correct? if not... will the solutions you both proposed work anyway?

    – Filippo
    9 hours ago











  • I'd be concerned that this would read in the entire +1Gb files. Might not be too efficient. The GDAL command line routines are pretty well optimised.

    – Spacedman
    9 hours ago











  • A "geoTIFF" is a TIFF with special metadata blocks in it that give it a spatial reference. Rasters saved from QGIS should have this data and so be valid geoTIFFs - check with the gdalinfo command line or gdalUtils package.

    – Spacedman
    9 hours ago
















2














In addition to @Spacedman's answer, you can set up a loop in R to compress tiffs using LZW with the writeRaster function in the raster package, which still uses GDAL. The options argument allows you to apply LZW compression.



In this example, the file is not overwritten but rather has an "_LZW" appended to the original name. To just overwrite the original file you can omit the paste0 function in writeRaster and just use the file iterator (ie., rfiles[i]). You could also paste a directory path into the file name to aim the compressed files to a different directory. If the tif files are multi-band then you would use stack rather than raster to read the data.



library(raster)
setwd("C:/...")
rfiles <- list.files(getwd(), "tif$")
for(i in 1:length(rfiles)) {
r <- raster::raster(rfiles[i])
raster::writeRaster(r, paste0(gsub(pattern = "\.tif$", "",
rfiles[i]), "_LZW", ".tif"), overwrite=TRUE,
options="COMPRESS=LZW")
}





share|improve this answer
























  • Thanks Jeffrey Evans and @Spacedman. Just for clarity. I assume that an image georeferenced in qgis and saved as .tif is a geoTif. is this correct? if not... will the solutions you both proposed work anyway?

    – Filippo
    9 hours ago











  • I'd be concerned that this would read in the entire +1Gb files. Might not be too efficient. The GDAL command line routines are pretty well optimised.

    – Spacedman
    9 hours ago











  • A "geoTIFF" is a TIFF with special metadata blocks in it that give it a spatial reference. Rasters saved from QGIS should have this data and so be valid geoTIFFs - check with the gdalinfo command line or gdalUtils package.

    – Spacedman
    9 hours ago














2












2








2







In addition to @Spacedman's answer, you can set up a loop in R to compress tiffs using LZW with the writeRaster function in the raster package, which still uses GDAL. The options argument allows you to apply LZW compression.



In this example, the file is not overwritten but rather has an "_LZW" appended to the original name. To just overwrite the original file you can omit the paste0 function in writeRaster and just use the file iterator (ie., rfiles[i]). You could also paste a directory path into the file name to aim the compressed files to a different directory. If the tif files are multi-band then you would use stack rather than raster to read the data.



library(raster)
setwd("C:/...")
rfiles <- list.files(getwd(), "tif$")
for(i in 1:length(rfiles)) {
r <- raster::raster(rfiles[i])
raster::writeRaster(r, paste0(gsub(pattern = "\.tif$", "",
rfiles[i]), "_LZW", ".tif"), overwrite=TRUE,
options="COMPRESS=LZW")
}





share|improve this answer













In addition to @Spacedman's answer, you can set up a loop in R to compress tiffs using LZW with the writeRaster function in the raster package, which still uses GDAL. The options argument allows you to apply LZW compression.



In this example, the file is not overwritten but rather has an "_LZW" appended to the original name. To just overwrite the original file you can omit the paste0 function in writeRaster and just use the file iterator (ie., rfiles[i]). You could also paste a directory path into the file name to aim the compressed files to a different directory. If the tif files are multi-band then you would use stack rather than raster to read the data.



library(raster)
setwd("C:/...")
rfiles <- list.files(getwd(), "tif$")
for(i in 1:length(rfiles)) {
r <- raster::raster(rfiles[i])
raster::writeRaster(r, paste0(gsub(pattern = "\.tif$", "",
rfiles[i]), "_LZW", ".tif"), overwrite=TRUE,
options="COMPRESS=LZW")
}






share|improve this answer












share|improve this answer



share|improve this answer










answered 10 hours ago









Jeffrey EvansJeffrey Evans

22.2k22870




22.2k22870













  • Thanks Jeffrey Evans and @Spacedman. Just for clarity. I assume that an image georeferenced in qgis and saved as .tif is a geoTif. is this correct? if not... will the solutions you both proposed work anyway?

    – Filippo
    9 hours ago











  • I'd be concerned that this would read in the entire +1Gb files. Might not be too efficient. The GDAL command line routines are pretty well optimised.

    – Spacedman
    9 hours ago











  • A "geoTIFF" is a TIFF with special metadata blocks in it that give it a spatial reference. Rasters saved from QGIS should have this data and so be valid geoTIFFs - check with the gdalinfo command line or gdalUtils package.

    – Spacedman
    9 hours ago



















  • Thanks Jeffrey Evans and @Spacedman. Just for clarity. I assume that an image georeferenced in qgis and saved as .tif is a geoTif. is this correct? if not... will the solutions you both proposed work anyway?

    – Filippo
    9 hours ago











  • I'd be concerned that this would read in the entire +1Gb files. Might not be too efficient. The GDAL command line routines are pretty well optimised.

    – Spacedman
    9 hours ago











  • A "geoTIFF" is a TIFF with special metadata blocks in it that give it a spatial reference. Rasters saved from QGIS should have this data and so be valid geoTIFFs - check with the gdalinfo command line or gdalUtils package.

    – Spacedman
    9 hours ago

















Thanks Jeffrey Evans and @Spacedman. Just for clarity. I assume that an image georeferenced in qgis and saved as .tif is a geoTif. is this correct? if not... will the solutions you both proposed work anyway?

– Filippo
9 hours ago





Thanks Jeffrey Evans and @Spacedman. Just for clarity. I assume that an image georeferenced in qgis and saved as .tif is a geoTif. is this correct? if not... will the solutions you both proposed work anyway?

– Filippo
9 hours ago













I'd be concerned that this would read in the entire +1Gb files. Might not be too efficient. The GDAL command line routines are pretty well optimised.

– Spacedman
9 hours ago





I'd be concerned that this would read in the entire +1Gb files. Might not be too efficient. The GDAL command line routines are pretty well optimised.

– Spacedman
9 hours ago













A "geoTIFF" is a TIFF with special metadata blocks in it that give it a spatial reference. Rasters saved from QGIS should have this data and so be valid geoTIFFs - check with the gdalinfo command line or gdalUtils package.

– Spacedman
9 hours ago





A "geoTIFF" is a TIFF with special metadata blocks in it that give it a spatial reference. Rasters saved from QGIS should have this data and so be valid geoTIFFs - check with the gdalinfo command line or gdalUtils package.

– Spacedman
9 hours ago


















draft saved

draft discarded




















































Thanks for contributing an answer to Geographic Information Systems Stack Exchange!


  • Please be sure to answer the question. Provide details and share your research!

But avoid



  • Asking for help, clarification, or responding to other answers.

  • Making statements based on opinion; back them up with references or personal experience.


To learn more, see our tips on writing great answers.




draft saved


draft discarded














StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fgis.stackexchange.com%2fquestions%2f318858%2fcompressing-georeferenced-images%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown





















































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown

































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown







Popular posts from this blog

GameSpot

connect to host localhost port 22: Connection refused

Getting a Wifi WPA2 wifi connection