CloudOptimized GeoTIFF (COGEO) creation plugin for rasterio
Project description
Cloud Optimized GeoTIFF (COG) creation plugin for rasterio
Install
$ pip install -U pip
$ pip install rio-cogeoOr install from source:
$ git clone https://github.com/cogeotiff/rio-cogeo.git
$ cd rio-cogeo
$ pip install -U pip
$ pip install -e .Usage
$ rio cogeo --help
Usage: rio cogeo [OPTIONS] INPUT OUTPUT
Create Cloud Optimized Geotiff.
Options:
-b, --bidx BIDX Band indexes to copy.
-p, --cog-profile [ycbcr|jpeg|webp|zstd|lzw|deflate|packbits|raw]
CloudOptimized GeoTIFF profile (default: jpeg).
--nodata NUMBER|nan Force mask creation from a given nodata value.
--alpha INTEGER Force mask creation from a given alpha band number.
--overview-level INTEGER Overview level (if not provided, appropriate overview level will be selected until the
smallest overview is smaller than the internal block size).
--overview-resampling [nearest|bilinear|cubic|cubic_spline|lanczos|average|mode|gauss] Resampling algorithm.
--threads INTEGER
--co, --profile NAME=VALUE Driver specific creation options.See the documentation for the selected output driver
for more information.
--help Show this message and exit.Examples
# Create a COGEO with JPEG profile and the first 3 bands of the data
$ rio cogeo mydataset.tif mydataset_jpeg.tif -b 1,2,3
# Create a COGEO without compression and with 1024x1024 block size
$ rio cogeo mydataset.tif mydataset_raw.tif --co BLOCKXSIZE=1024 --co BLOCKYSIZE=1024 --cog-profile rawDefault COGEO profiles
Profiles can be extended by providing ‘–co’ option in command line (e.g: rio cogeo mydataset.tif mydataset_zstd.tif -b 1,2,3 –profile deflate –co “COMPRESS=ZSTD” )
YCbCr DEPRECATED in 1.0
JPEG compression
PIXEL interleave
YCbCr colorspace
limited to uint8 datatype and 3 bands data
JPEG
JPEG compression
PIXEL interleave
YCbCr colorspace
limited to uint8 datatype and 3 bands data
WEBP
WEBP compression
PIXEL interleave
limited to uint8 datatype and 3 or 4 bands data
Available for GDAL>=2.4.0
ZSTD
ZSTD compression
PIXEL interleave
Available for GDAL>=2.3.0
Note in Nov 2018, there was a change in libtiff’s ZSTD tags which create incompatibility for old ZSTD compressed GeoTIFF link
LZW
LZW compression
PIXEL interleave
DEFLATE
DEFLATE compression
PIXEL interleave
PACKBITS
PACKBITS compression
PIXEL interleave
RAW
NO compression
PIXEL interleave
Default profiles are tiled with 512x512 blocksizes.
Contribution & Development
The rio-cogeo project was begun at Mapbox and has been transferred in January 2019.
Issues and pull requests are more than welcome.
dev install
$ git clone https://github.com/cogeotiff/rio-cogeo.git
$ cd rio-cogeo
$ pip install -e .[dev]Python3.6 only
This repo is set to use pre-commit to run flake8, pydocstring and black (“uncompromising Python code formatter”) when commiting new code.
$ pre-commit installExtras
Checkout rio-glui (https://github.com/mapbox/rio-glui/) rasterio plugin to explore COG locally in your web browser.
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