Metadata-Version: 2.1
Name: rio-viz
Version: 0.9.2
Summary: Visualize Cloud Optimized GeoTIFF in browser
Author-email: Vincent Sarago <vincent@developmentseed.com>
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: GIS
Requires-Dist: braceexpand
Requires-Dist: rio-cogeo>=3.1
Requires-Dist: titiler.core>=0.5,<0.6
Requires-Dist: starlette-cramjam>=0.1.0,<0.2
Requires-Dist: uvicorn
Requires-Dist: pre-commit ; extra == "dev"
Requires-Dist: rio-tiler-mvt==0.0.1.dev2 ; extra == "mvt"
Requires-Dist: pytest ; extra == "test"
Requires-Dist: pytest-cov ; extra == "test"
Requires-Dist: pytest-asyncio ; extra == "test"
Requires-Dist: requests ; extra == "test"
Project-URL: Source, https://github.com/developmentseed/rio-viz
Provides-Extra: dev
Provides-Extra: mvt
Provides-Extra: test

# rio-viz

<p align="center">
  <img src="https://user-images.githubusercontent.com/10407788/60689165-78be7780-9e88-11e9-84b9-9a3602156ef2.jpg" style="max-width: 500px;"/>
  <p align="center">A Rasterio plugin to visualize Cloud Optimized GeoTIFF in browser.</p>
</p>

<p align="center">
  <a href="https://github.com/developmentseed/rio-viz/actions?query=workflow%3ACI" target="_blank">
      <img src="https://github.com/developmentseed/rio-viz/workflows/CI/badge.svg" alt="Test">
  </a>
  <a href="https://codecov.io/gh/developmentseed/rio-viz" target="_blank">
      <img src="https://codecov.io/gh/developmentseed/rio-viz/branch/master/graph/badge.svg" alt="Coverage">
  </a>
  <a href="https://pypi.org/project/rio-viz" target="_blank">
      <img src="https://img.shields.io/pypi/v/rio-viz?color=%2334D058&label=pypi%20package" alt="Package version">
  </a>
  <a href="https://github.com/developmentseed/rio-viz/blob/master/LICENSE" target="_blank">
      <img src="https://img.shields.io/github/license/developmentseed/rio-viz.svg" alt="Downloads">
  </a>
</p>


## Install

You can install rio-viz using pip

```bash
$ pip install rio-viz
```
with 3d feature

```bash
# 3d visualization features is optional
$ pip install -U pip
$ pip install rio-viz["mvt"]
```

Build from source

```bash
$ git clone https://github.com/developmentseed/rio-viz.git
$ cd rio-viz
$ pip install -e .
```

## CLI

```bash
$ rio viz --help
Usage: rio viz [OPTIONS] SRC_PATH

  Rasterio Viz cli.

Options:
  --nodata NUMBER|nan  Set nodata masking values for input dataset.
  --minzoom INTEGER    Overwrite minzoom
  --maxzoom INTEGER    Overwrite maxzoom
  --port INTEGER       Webserver port (default: 8080)
  --host TEXT          Webserver host url (default: 127.0.0.1)
  --no-check           Ignore COG validation
  --reader TEXT        rio-tiler Reader (BaseReader or AsyncBaseReader). Default is `rio_tiler.io.COGReader`
  --layers TEXT        limit to specific layers (only used for MultiBand and MultiBase Readers). (e.g --layers b1 --layers b2).
  --server-only        Launch API without opening the rio-viz web-page.
  --config NAME=VALUE  GDAL configuration options.
  --help               Show this message and exit.
```

## Multi Reader support

rio-viz support multiple/custom reader as long they are subclass of `rio_tiler.io.base.BaseReader` or `rio_tiler.io.base.AsyncBaseReader`.

```bash
# Multi Files as Bands
$ rio viz "cog_band{2,3,4}.tif" --reader rio_viz.io.MultiFilesBandsReader

# Simple Mosaic
$ rio viz "tests/fixtures/mosaic_cog{1,2}.tif" --reader rio_viz.io.MosaicReader

# MultiBandReader
# Landsat 8 - rio-tiler-pds
# We use `--layers` to limit the number of bands
$ rio viz LC08_L1TP_013031_20130930_20170308_01_T1 \
  --reader rio_tiler_pds.landsat.aws.landsat8.L8Reader \
  --layers B1,B2 \
  --config GDAL_DISABLE_READDIR_ON_OPEN=FALSE \
  --config CPL_VSIL_CURL_ALLOWED_EXTENSIONS=".TIF,.ovr"

# MultiBaseReader
# We use `--layers` to limit the number of assets
rio viz https://earth-search.aws.element84.com/v0/collections/sentinel-s2-l2a-cogs/items/S2A_34SGA_20200318_0_L2A \
  --reader rio_tiler.io.STACReader \
  --layers B04,B03,B02

# aiocogeo
$ rio viz https://naipblobs.blob.core.windows.net/naip/v002/al/2019/al_60cm_2019/30087/m_3008701_ne_16_060_20191115.tif \
  --reader aiocogeo.tiler.COGTiler
```

## RestAPI

When launching rio-viz, the application will create a FastAPI application to access and read the data you want. By default the CLI will open a web-page for you to explore your file but you can use `--server-only` option to ignore this.

```bash
$ rio viz my.tif --server-only

# In another console
$ curl http://127.0.0.1:8080/info | jq
{
  "bounds": [6.608576517072109, 51.270642883468895, 11.649386808679436, 53.89267160832534],
  "band_metadata": [...],
  "band_descriptions": [...],
  "dtype": "uint8",
  "nodata_type": "Mask",
  "colorinterp": [
    "red",
    "green",
    "blue"
  ]
}
```

You can see the full API documentation over `http://127.0.0.1:8080/docs`

![API documentation](https://user-images.githubusercontent.com/10407788/99135093-a7a53b80-25ee-11eb-98ba-0ce932775791.png)


## 3D (Experimental)

rio-viz supports Mapbox VectorTiles encoding from a raster array. This feature was added to visualize sparse data stored as raster but will also work for dense array. This is highly experimental and might be slow to render in certain browser and/or for big rasters.

![](https://user-images.githubusercontent.com/10407788/56853984-4713b800-68fd-11e9-86a2-efbb041daeb0.gif)


## Contribution & Development

See [CONTRIBUTING.md](https://github.com/developmentseed/rio-viz/blob/master/CONTRIBUTING.md)

## Authors

Created by [Development Seed](<http://developmentseed.org>)

## Changes

See [CHANGES.md](https://github.com/developmentseed/rio-viz/blob/master/CHANGES.md).

## License

See [LICENSE.txt](https://github.com/developmentseed/rio-viz/blob/master/LICENSE)

