@qntm-code/maplibre-cog-protocol

v0.5.0

Published

9 months ago

Custom protocol to load Cloud Optimized GeoTIFFs (COG) in Maplibre GL JS

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bameyrick

Maplibre COG Protocol

Custom protocol to load Cloud Optimized GeoTIFFs (COG) in Maplibre GL JS.

Forked from @geomatico/maplibre-cog-protocol to add masking functionality.

Demo page

https://labs.geomatico.es/maplibre-cog-protocol

Usage

For better quality, use always tileSize: 256 to match the size of tiles delivered by the custom protocol.

Vanilla HTML & JS

<!DOCTYPE html>
<html lang="en">
  <head>
    <link rel="stylesheet" href="https://unpkg.com/maplibre-gl/dist/maplibre-gl.css" />
    <script src="https://unpkg.com/maplibre-gl/dist/maplibre-gl.js"></script>
    <script src="https://unpkg.com/@qntm-code/maplibre-cog-protocol/dist/index.js"></script>
  </head>
  <body>
    <div id="map" style="width: 600px; height: 400px"></div>
    <script>
      let map = new maplibregl.Map({
        container: 'map',
        style: 'https://geoserveis.icgc.cat/contextmaps/icgc_mapa_base_gris_simplificat.json',
        center: [1.83369, 41.5937],
        zoom: 14,
      });

      maplibregl.addProtocol('cog', MaplibreCOGProtocol.cogProtocol);

      map.on('load', () => {
        map.addSource('imageSource', {
          type: 'raster',
          url: 'cog://https://labs.geomatico.es/maplibre-cog-protocol/data/image.tif',
          tileSize: 256,
        });

        map.addLayer({
          id: 'imageLayer',
          source: 'imageSource',
          type: 'raster',
        });
      });
    </script>
  </body>
</html>

With React Map GL

npm install @qntm-code/maplibre-cog-protocol

import maplibregl from 'maplibre-gl';
import { cogProtocol } from '@qntm-code/maplibre-cog-protocol';
import Map from 'react-map-gl/maplibre';

maplibregl.addProtocol('cog', cogProtocol);

const App = () => (
  <Map
    style={{ width: 600, height: 400 }}
    mapStyle="https://geoserveis.icgc.cat/contextmaps/icgc_mapa_base_gris_simplificat.json"
    initialViewState={{ longitude: 1.83369, latitude: 41.5937, zoom: 14 }}
  >
    <Source id="imageSource" type="raster" url="cog://https://labs.geomatico.es/maplibre-cog-protocol/data/image.tif" tileSize={256}>
      <Layer id="imageLayer" type="raster" />
    </Source>
  </Map>
);

API

Display RGB image COGs

COGs with three or four 8-bit bands can be displayed as RGB or RGBA images.

Use a raster source with the url prepended with cog://
Use a raster layer.

map.addSource('sourceId', {
  type: 'raster',
  url: 'cog://https://labs.geomatico.es/maplibre-cog-protocol/data/image.tif',
});

map.addLayer({
  id: 'imageId',
  source: 'sourceId',
  type: 'raster',
});

Display Digital Elevation Model COGs

COGs with a single band can be interpreted DEMs.

As Hillshading

Use a raster-dem source with the url prepended with cog:// and appended with #dem
Use a hillshade layer.

map.addSource('sourceId', {
  type: 'raster-dem',
  url: 'cog://https://cdn.geomatico.es/pirineo_dem_cog_256.tif#dem',
});

map.addLayer({
  id: 'hillshadeId',
  source: 'sourceId',
  type: 'hillshade',
});

As 3D Terrain

Use a raster-dem source with the url prepended with cog:// and appended with #dem, same as above.
Set it as the terrain.

map.addSource('sourceId', {
  type: 'raster-dem',
  url: 'cog://https://cdn.geomatico.es/pirineo_dem_cog_256.tif#dem',
});

map.setTerrain({
  source: 'sourceId',
});

Apply ColorBrewer or CARTOColor ramp to a single-band COG

COGs with a single band can be also converted to images applying a color ramp.

Use a raster source with the url prepended with cog:// and appended with #color: and the color ramp specification.
Use a raster layer.

map.addSource('sourceId', {
  type: 'raster',
  url: 'cog://https://labs.geomatico.es/maplibre-cog-protocol/data/kriging.tif#color:BrewerSpectral9,1.7,1.8,c',
});

map.addLayer({
  id: 'imageId',
  source: 'sourceId',
  type: 'raster',
});

Apply a Custom Color Function to any COG

In case you want to apply any other coloring logic, you can provide a function that converts pixel values to RGBA color values, and assign it to the COG URL where it needs to be applied.

Use the setColorFunction method, which needs two arguments:

cogUrl: the COG to which the custom color function will be applied. Don't prepend the cog:// protocol here.
colorFunction: A function that maps pixel values to color values, whose arguments are:
- pixel: An array of numeric values, one for each band. If defined in COG metadata, offset and scale are already applied to each value.
- color: An Uint8ClampedArray of exactly 4 elements. Set the pixel color by setting the first, second, third and fourth element to red, green, blue and alpha values respectively.
- metadata: CogMetadata structure with information about the COG, such as the noData value.

The following example paints values below a given threshold as red, and green otherwise:

const cogUrl = 'https://labs.geomatico.es/maplibre-cog-protocol/data/kriging.tif';
const threshold = 1.75;

// Function is called for every pixel, keep it fast!
MaplibreCOGProtocol.setColorFunction(cogUrl, (pixel, color, metadata) => {
  if (pixel[0] === metadata.noData) {
    color.set([0, 0, 0, 0]); // Transparent
  } else if (pixel[0] < threshold) {
    color.set([255, 0, 0, 255]); // Red
  } else {
    color.set([0, 255, 0, 255]); // Green
  }
});

map.addSource('sourceId', {
  type: 'raster',
  url: `cog://${cogUrl}`, // Use the same URL as in setColorFunction, prepended with "cog://".
});

map.addLayer({
  id: 'imageId',
  source: 'sourceId',
  type: 'raster',
});

Some other interesting usages:

Apply other color scales not listed in the builtin standard ColorBrewer or CartoColors catalog.
Use custom breakpoints or interpolations.
Display other bands.
Combine bands of a multispectral image to calculate indicators on the fly.

Get pixel values for a given location

The locationValues(url, location, zoom?) method reads raw pixel values for a given location. It returns an array of numbers, one for each band in the COG. NaNs are returned when querying outside of the image. If zoom is indicated, it will query the nearest overview corresponding to that zoom level.

Example usage in conjunction with maplibre API to get COG values on mouse hover:

import { locationValues } from '@qntm-code/maplibre-cog-protocol';

map.on('mousemove', ({ lngLat }) => {
  locationValues('./data/kriging.tif', { latitude: lngLat.lat, longitude: lnglat.lon }, map.getZoom()).then(console.log);
});

locationValues doesn't depend on Maplibre API or the CogProtocol, so it can be used to query raster values in applications without a map:

import { locationValues } from '@qntm-code/maplibre-cog-protocol';

const url = 'https://labs.geomatico.es/maplibre-cog-protocol/data/kriging.tif';
locationValues(url, { latitude: 41.656278, longitude: 0.501394 }).then(console.log);

Masking a COG

Masking can be applied to COGs by providing a GeoJSON feature collection of polygons/multipolygons. This will only color the pixels inside the polygons, and the rest will be transparent.

MaplibreCOGProtocol.setMask({
  type: 'FeatureCollection',
  features: [
    {
      type: 'Feature',
      properties: {},
      geometry: {
         type: 'Polygon',
        coordinates: [
          ...
        ],
      },
    },
  ],
});

Clearing the mask

To remove the mask, call the clearMask method:

MaplibreCOGProtocol.clearMask();

You will also need to force the map to redraw the COG layer.

const source = map.getSource('yourSourceId');

if (source?.tiles) {
  source.setTiles([`${source.tiles[0]}?${Date.now()}`]);
}

COG generation tips

COG should be in EPSG:3857 (Google Mercator) projection, as this library doesn't reproject and won't understand any other projection.

For better performance, use the Google Maps tiling scheme with 256x256 blocksize.

For RGB images, JPEG yCbCr (lossy) compression is recommended. For lossless compression, deflate gives good decoding performance on the browser.

Sample GDAL commands (using docker for convenience, but not needed):

RGB Image (lossy compression)

docker run --rm -v .:/srv ghcr.io/osgeo/gdal:alpine-small-3.9.1 gdalwarp /srv/<source>.tif /srv/<target>.tif -of COG -co BLOCKSIZE=256 -co TILING_SCHEME=GoogleMapsCompatible -co COMPRESS=JPEG -co OVERVIEWS=IGNORE_EXISTING -co ADD_ALPHA=NO -co ALIGNED_LEVELS=10 -dstnodata NaN

Digital Elevation Model

docker run --rm -v .:/srv ghcr.io/osgeo/gdal:alpine-small-3.9.1 gdalwarp /srv/<source>.tif /srv/<target>.tiff -of COG -co BLOCKSIZE=256 -co TILING_SCHEME=GoogleMapsCompatible -co COMPRESS=DEFLATE -co RESAMPLING=BILINEAR -co OVERVIEW_RESAMPLING=NEAREST -co OVERVIEWS=IGNORE_EXISTING -co ADD_ALPHA=NO -co ALIGNED_LEVELS=10 -dstnodata NaN

For developers

Making a new release

npm version [patch | minor | major]

npm run build
npm publish --access public

git push origin tag vX.X.X
npm run gh-publish  # publish examples to labs.geomatico.es

Feature wishlist

[ ] Apply transparency mask if present (now taking 0 as the default noData value)
[ ] Integrate maplibre-contour