Explore CloudOptimized geotiff on your browser using Mapbox GL JS.
You can install rio-glui using pip
$ pip install -U pip
$ pip install rio-gluior install from source:
$ git clone https://github.com/mapbox/rio-glui.git
$ cd rio-glui
$ pip install -e .Usage: rio glui [OPTIONS] PATH
Rasterio glui cli.
Options:
-b, --bidx BIDX Raster band index (default: 1,2,3)
--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: 512)
--port INTEGER Webserver port (default: 8080)
--playground Launch playground app
--mapbox-token TOKEN Pass Mapbox token
--help Show this message and exit.Explore COG hosted on aws
$ rio glui https://oin-hotosm.s3.amazonaws.com/5ac626e091b5310010e0d482/0/5ac626e091b5310010e0d483.tifPlayground
The --playground option opens a playgroud template where you an interact with the data to apply rio-color formula.
To create rio-glui friendly files (CloudOptimized Geotiff) you can use another rasterio plugin: rio-cogeo (https://github.com/mapbox/rio-cogeo.git).
This plugin also enable raster visualisation in Jupyter Notebook using [mapboxgl-jupyter](https://github.com/mapbox/mapboxgl-jupyter)
Issues and pull requests are more than welcome.
Dev install & Pull-Request
$ git clone https://github.com/mapbox/rio-glui.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 install
$ git add .
$ git commit -m'my change'
black....................................................................Passed
Flake8...................................................................Passed
Verifying PEP257 Compliance..............................................Passed
$ git push origin