From 820ec18563dbc1b35f2bb658b7f0263543785efe Mon Sep 17 00:00:00 2001 From: johnniehard Date: Wed, 2 Sep 2020 14:37:56 +0200 Subject: [PATCH] Usage example with COG-driver for GDAL 3.1+ --- developers-guide.html | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/developers-guide.html b/developers-guide.html index 33807e4..84d88f1 100644 --- a/developers-guide.html +++ b/developers-guide.html @@ -39,9 +39,17 @@

Reading a Cloud Optimized GeoTIFF

Planet produces all its data as COG, and has a little tutorial on how to download part of an image using VSI Curl. Most of the tutorial is specific to working with the Planet API, but it shows the use of GDAL Warp with a COG to extract a single farm field from a larger image.

How to generate a Cloud Optimized GeoTIFF

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Also on the GDAL wiki page about COG, there is a section on How to generate it with GDAL. For quick reference the one liner is: + +

As of version 3.1 of GDAL there is a built in COG provider which by default provides tiling and creation of overviews, use it like this: + 

 gdal_translate input.tif output_cog.tif -of COG -co COMPRESS=LZW
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Older GDAL versions

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There is a GDAL wiki page about COG creation: How to generate it with GDAL. For quick reference the one liner is: 

gdal_translate in.tif out.tif -co TILED=YES -co COPY_SRC_OVERVIEWS=YES -co COMPRESS=DEFLATE
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Rio-cogeo

or you can use rio-cogeo plugin: 

$ rio cogeo create in.tif out.tif --cog-profile deflate