Display a subset of the Lidar HD dataset colorized with WMS imagery, converted with py3dtiles

100% © IGN

Giro3D is capable of displaying large point clouds. Lidar data can be converted into 3D Tiles using py3dtiles

index.js
import TileWMS from 'ol/source/TileWMS.js';

import { Vector3, CubeTextureLoader } from 'three';
import { MapControls } from 'three/examples/jsm/controls/MapControls.js';

import Instance from '@giro3d/giro3d/core/Instance.js';
import ColorLayer from '@giro3d/giro3d/core/layer/ColorLayer.js';
import Tiles3D from '@giro3d/giro3d/entities/Tiles3D.js';
import Tiles3DSource from '@giro3d/giro3d/sources/Tiles3DSource.js';
import TiledImageSource from '@giro3d/giro3d/sources/TiledImageSource.js';
import Inspector from '@giro3d/giro3d/gui/Inspector.js';
import Extent from '@giro3d/giro3d/core/geographic/Extent.js';

// Defines projection that we will use (taken from https://epsg.io/2154, Proj4js section)
Instance.registerCRS(
    'EPSG:2154',
    '+proj=lcc +lat_0=46.5 +lon_0=3 +lat_1=49 +lat_2=44 +x_0=700000 +y_0=6600000 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs +type=crs',
);

const tmpVec3 = new Vector3();

const viewerDiv = document.getElementById('viewerDiv');

const instance = new Instance(viewerDiv, { crs: 'EPSG:2154' });

// Creates controls
const controls = new MapControls(instance.camera.camera3D, instance.domElement);
controls.enableDamping = true;
controls.dampingFactor = 0.2;

instance.useTHREEControls(controls);

// Adds a WMS imagery layer
const wmsOthophotoSource = new TiledImageSource({
    source: new TileWMS({
        url: 'https://data.geopf.fr/wms-r',
        projection: 'EPSG:2154',
        crossOrigin: 'anonymous',
        params: {
            LAYERS: ['HR.ORTHOIMAGERY.ORTHOPHOTOS'],
            FORMAT: 'image/jpeg',
        },
    }),
});

const pointcloud = new Tiles3D(
    'pointcloud',
    new Tiles3DSource('https://3d.oslandia.com/lidar_hd/tileset.json'),
);
// add pointcloud to scene
function initializeCameraPosition(layer) {
    const bbox = layer.root.bbox
        ? layer.root.bbox
        : layer.root.boundingVolume.box.clone().applyMatrix4(layer.root.matrixWorld);

    // configure camera
    instance.camera.camera3D.far = 2.0 * bbox.getSize(tmpVec3).length();

    const ratio = bbox.getSize(tmpVec3).x / bbox.getSize(tmpVec3).z;
    const position = bbox.min
        .clone()
        .add(bbox.getSize(tmpVec3).multiply({ x: 0, y: 0, z: ratio * 0.5 }));
    const lookAt = bbox.getCenter(tmpVec3);
    lookAt.z = bbox.min.z;
    instance.camera.camera3D.position.set(position.x, position.y, position.z);
    instance.camera.camera3D.lookAt(lookAt);
    controls.target.copy(lookAt);
    controls.saveState();

    const colorLayer = new ColorLayer({
        name: 'orthophoto-ign',
        // The extent is useful to restrict the processing of the image layer
        // (which is much bigger than our point cloud).
        extent: Extent.fromBox3('EPSG:2154', bbox),
        source: wmsOthophotoSource,
    });

    pointcloud.attach(colorLayer);

    instance.renderingOptions.enableEDL = true;
    instance.renderingOptions.enableInpainting = true;
    instance.renderingOptions.enablePointCloudOcclusion = true;

    // refresh scene
    instance.notifyChange(instance.camera.camera3D);
}
instance.add(pointcloud).then(initializeCameraPosition);

// add a skybox background
const cubeTextureLoader = new CubeTextureLoader();
cubeTextureLoader.setPath('image/skyboxsun25deg_zup/');
const cubeTexture = cubeTextureLoader.load([
    'px.jpg',
    'nx.jpg',
    'py.jpg',
    'ny.jpg',
    'pz.jpg',
    'nz.jpg',
]);

instance.scene.background = cubeTexture;

Inspector.attach(document.getElementById('panelDiv'), instance);

// Bind events
index.html
<!doctype html>
<html lang="en">
    <head>
        <title>Pointcloud from IGN Lidar HD</title>
        <meta charset="UTF-8" />
        <meta name="name" content="lidar_hd" />
        <meta name="description" content="Display a subset of the Lidar HD dataset colorized with WMS imagery, converted with py3dtiles" />
        <meta name="viewport" content="width=device-width, initial-scale=1.0" />

        <link rel="icon" href="https://giro3d.org/images/favicon.svg" />
        <link href="https://giro3d.org/assets/bootstrap-custom.css" rel="stylesheet" />
        <script src="https://giro3d.org/assets/bootstrap.bundle.min.js"></script>
        <link
            rel="stylesheet"
            type="text/css"
            href="https://giro3d.org/latest/css/example.css"
        />

        
    </head>

    <body>
        <div id="viewerDiv" class="m-0 p-0 w-100 h-100"></div>
        <div id="panelDiv" class="position-absolute top-0 start-0 mh-100 overflow-auto"></div>

        

        <script type="module" src="index.js"></script>
        <script>
            /* activate popovers */
            const popoverTriggerList = [].slice.call(
                document.querySelectorAll('[data-bs-toggle="popover"]'),
            );
            popoverTriggerList.map(
                // bootstrap is used as script in the template, disable warning about undef
                // eslint-disable-next-line no-undef
                popoverTriggerEl =>
                    new bootstrap.Popover(popoverTriggerEl, {
                        trigger: 'hover',
                        placement: 'left',
                        content: document.getElementById(
                            popoverTriggerEl.getAttribute('data-bs-content'),
                        ).innerHTML,
                        html: true,
                    }),
            );
        </script>
    </body>
</html>
package.json
{
    "name": "lidar_hd",
    "dependencies": {
        "@giro3d/giro3d": "0.37.2"
    },
    "devDependencies": {
        "vite": "^3.2.3"
    },
    "scripts": {
        "start": "vite",
        "build": "vite build"
    }
}