Custom protocol to load Cloud Optimized GeoTIFFs (COG) in Maplibre GL JS
https://labs.geomatico.es/maplibre-cog-protocol
For better quality, use always tileSize: 256 to match the size of tiles delivered by the custom protocol.
<!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/@geomatico/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>npm install @geomatico/maplibre-cog-protocol
import maplibregl from 'maplibre-gl';
import {cogProtocol} from '@geomatico/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>;COGs with three or four 8-bit bands can be displayed as RGB or RGBA images.
raster source with the url prepended with cog://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'
});COGs with a single band can be interpreted DEMs.
raster-dem source with the url prepended with cog:// and appended with #demhillshade 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'
});raster-dem source with the url prepended with cog:// and appended with #dem, same as above. map.addSource('sourceId', {
type: 'raster-dem',
url: 'cog://https://cdn.geomatico.es/pirineo_dem_cog_256.tif#dem',
});
map.setTerrain({
source: 'sourceId'
});COGs with a single band can be also converted to images applying a color ramp.
raster source with the url prepended with cog:// and appended with #color: and the color ramp specification or an array of custom hex codes.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'
}); map.addSource('sourceId', {
type: 'raster',
url: 'cog://https://labs.geomatico.es/maplibre-cog-protocol/data/kriging.tif#color:["#ffeda0","#feb24c","#f03b20"],1.7,1.8,c',
});
map.addLayer({
id: 'imageId',
source: 'sourceId',
type: 'raster'
});The color ramp specification consists of the following comma-separated values:
#color:<colorScheme/customColors>,<min>,<max>,<options>colorScheme: Any of the Color Brewer or CARTOColors schemes are available. See the Color Ramp cheatsheet.customColors: An array of hex codes for your color ramp.min: A number indicating the minimal value where the color ramp applies.max: A number indicating the maximal value where the color ramp applies.options (optional):
- to apply the reversed scheme (for instance, converts red-to-gren => green-to-red).c to apply a continuous color scale (linear interpolation).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 '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 '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);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):
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 NaNdocker 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 NaNnpm 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