rio-glui

Explore and adjust Cloud-optimized geotiffs (COGs) in your browser using rasterio and Mapbox GL JS.

Install

You can install rio-glui using pip

pip install -U pip
pip install rio-glui

or install from source:

git clone https://github.com/mapbox/rio-glui.git
cd rio-glui
pip install -e .

Usage

Usage: rio glui [OPTIONS] PATH

  Rasterio glui cli.

Options:
-b, --bidx BIDX                   Raster band index
--scale INTEGER Min Max           Min and Max data bounds to rescale data from.
--colormap [cfastie|schwarzwald]  Rio-tiler compatible colormap name ('cfastie' or 'schwarzwald')
--tiles-format [png|jpg|webp]     Tile image format (default: png)
--tiles-dimensions INTEGER        Dimension of images being served (default: 512)
--nodata INTEGER                  Force mask creation from a given nodata value
--gl-tile-size INTEGER            mapbox-gl tileSize (default is the same as `tiles-dimensions`)
--port INTEGER                    Webserver port (default: 8080)
--playground                      Launch playground app
--mapbox-token TOKEN              Pass Mapbox token
--help                            Show this message and exit.

Example: explore COG hosted on aws

rio glui https://oin-hotosm.s3.amazonaws.com/5ac626e091b5310010e0d482/0/5ac626e091b5310010e0d483.tif

Playground

The --playground option opens a playground template where you an interact with the data to apply rio-color formula.

Creating Cloud-Optimized Geotiffs

To create rio-glui friendly files (Cloud-Optimized Geotiff) you can use another rasterio plugin: rio-cogeo. Alternately, you can use GDAL tools:

gdal_translate input.tif output.tif -of COG -co TILING_SCHEME=GoogleMapsCompatible -co COMPRESS=JPEG

Extras

This plugin also enables raster visualisation in a Jupyter Notebook using mapboxgl-jupyter

Contribution & Development

Issues and pull requests are more than welcome.

Dev install & Pull-Request

git clone https://github.com/mapbox/rio-glui.git
cd rio-glui
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 install
$ git add .
$ git commit -m'my change'
black....................................................................Passed
Flake8...................................................................Passed
Verifying PEP257 Compliance..............................................Passed
$ git push origin