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Description
Displaying this 4 band 16int COGTIFF file size approx 4GB in leaflet via
It is a valid COG according to gdal with 4 overviews, compressed etc
-> results in very slow performance on loading.
Firefox: After approx 10 succesfull accesses to the GOG tif file I get an "unknown duration" Staus "waiting for response" as shown here
Edge: I get Violation warnings in the console but tiles are loading after while
[Violation]'requestAnimationFrame' handler took 75ms
[Violation]'setTimeout' handler took 75ms
The data is loading quite fast, an I can observe the complete download finished
but afterwards it takes quite a while until it is rendered , I can't find any suspicous in
even if I use an RGB 8 bit File : RGB_COG_mosaic_2024-03-07t103911_bands-10m.tif it takes quite a while to render the image
I can't get the rendering/download accelerated : any ideas?
Here the complete code
<html>
<head>
<title>COG viewer SATROMO</title>
!-- Version 3.1 --> <!-- full stretch -->
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" href="https://unpkg.com/leaflet@1.0.3/dist/leaflet.css"/>
<style>
#map {
bottom: 0;
left: 0;
position: absolute;
right: 0;
top: 0;
}
</style>
</head>
<body>
<div id="map"></div>
<script src="https://unpkg.com/leaflet@1.0.3/dist/leaflet.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/proj4js/2.6.0/proj4.js"></script>
<script src="https://unpkg.com/georaster"></script>
<script src="https://unpkg.com/georaster-layer-for-leaflet"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/proj4leaflet/1.0.2/proj4leaflet.min.js"></script>
<! -- You might need this one as well
<script src="https://unpkg.com/leaflet-proj4leaflet"></script>
-->
<script>
// Define custom CRS for EPSG 2056
// Define custom CRS for EPSG 2056
var crs2056 = new L.Proj.CRS('EPSG:2056',
"+proj=somerc +lat_0=46.95240555555556 +lon_0=7.439583333333333 +k_0=1 +x_0=2600000 +y_0=1200000 +ellps=bessel +towgs84=674.374,15.056,405.346,0,0,0,0 +units=m +no_defs",
{
resolutions: [4000.0, 3750.0, 3500.0, 3250.0, 3000.0, 2750.0, 2500.0, 2250.0, 2000.0, 1750.0, 1500.0, 1250.0, 1000.0, 750.0, 650.0, 500.0, 250.0, 100.0, 50.0, 20.0, 10.0, 5.0, 2.5, 2.0, 1.5, 1.0, 0.5, 0.25, 0.1, 0.05],
origin: [2420000.0, 1350000.0]
});
var map = L.map('map', {
crs: crs2056
}).setView([46, 8], 1);
var baseLayer = L.tileLayer('https://wmts.asit-asso.ch/wmts/1.0.0/asitvd.fond_pourortho/default/default/0/2056/{z}/{y}/{x}.png', {
maxZoom: crs2056.options.resolutions.length,
zIndex: 5
}).addTo(map);
// Define a variable to keep track of the layer visibility
var layerVisible = true;
// Create a button to toggle the layer
var toggleButton = L.control({position: 'topleft'});
toggleButton.onAdd = function (map) {
var div = L.DomUtil.create('div', 'toggle-button');
// Set the initial button text based on the layer visibility
div.innerHTML = '<button onclick="toggleLayer()">' + (layerVisible ? 'Overlay OFF' : 'OFF') + '</button>';
return div;
};
toggleButton.addTo(map);
// Function to toggle the layer
function toggleLayer() {
if (layerVisible) {
map.removeLayer(baseLayer);
} else {
baseLayer.addTo(map);
}
// Update the button text based on the layer visibility
document.querySelector('.toggle-button button').innerText = layerVisible ? 'Overlay ON' : 'Overlay OFF';
// Invert the layer visibility state
layerVisible = !layerVisible;
}
const url_to_geotiff_file = new URLSearchParams(location.search).get("url");
console.log("url_to_geotiff_file:", url_to_geotiff_file);
if (!url_to_geotiff_file || !url_to_geotiff_file.endsWith(".tif")) {
// If no URL is provided, or if it doesn't end with ".tif", display a message for non-supported imagery
document.getElementById("map").innerHTML = "<h3>Non-supported imagery</h3>";
} else if (url_to_geotiff_file.includes("ch.swisstopo.swisseo_vhi")) {
console.log("This is VHI");
// Parse the GeoTIFF data
parseGeoraster(url_to_geotiff_file).then(function (georaster) {
console.log("georaster:", georaster);
// based on https://custom-scripts.sentinel-hub.com/custom-scripts/sentinel-2/l2a_optimized/
// Execute code for ch.swisstopo.swisseo_vhi
// For example:https://cms.geo.admin.ch/test/topo/umweltbeobachtung/testcog/ch.swisstopo.swisseo_vhi_v100_mosaic_2023-10-16T235959_bands-10m.tif
// yourVHICodeHere();
// Define color map
// Define the function to map pixel values to colors
const pixelValuesToColorFn = value => {
// Define your logic here to map pixel values to colors
// For example, you can use a color scale or custom logic based on specific thresholds
const scale = chroma.scale([
'#C7BB95',
'#FEFEE1',
'#6E9F62',
'#032816',
'black'
]).domain([
0,
10,
40,
60,
80
]);
// Here's a simple example using a color scale:
const color = scale(value).hex(); // Assuming 'scale' is defined elsewhere
console.log("color:", color);
return color;
};
// Modify the pixelValuesToColorFn function
const layer = new GeoRasterLayer({
attribution: "Contains modified Copernicus Sentinel data 2024, (c) Openstreetmap contributors provided by ASIT",
debugLevel: 0,
georaster,
resolution: 256,
opacity: 1,
resampleMethod: "nearest",
pixelValuesToColorFn
});
layer.addTo(map);
map.fitBounds(layer.getBounds());
});
} else if (url_to_geotiff_file.includes("ch.swisstopo.swisseo_s2-sr")) {
console.log("This is S2 SR");
// Parse the GeoTIFF data
parseGeoraster(url_to_geotiff_file).then(function (georaster) {
console.log("georaster:", georaster);
// based on https://custom-scripts.sentinel-hub.com/custom-scripts/sentinel-2/l2a_optimized/
// Contrast enhance / highlight compress
const maxR = 3.0; // max reflectance
const midR = 0.13;
const sat = 1.2;
const gamma = 1.8;
function evaluatePixel(val0,val1,val2) {
//console.log("val0:", val0, "val1:", val1, "val2:", val2);
const rgbLin = satEnh(sAdj(val0), sAdj(val1), sAdj(val2));
//console.log("rgbLin:", rgbLin);
//console.log("sRGB0:", sRGB(rgbLin[0]), "sRGB1:", sRGB(rgbLin[1]), "sRGB2:", sRGB(rgbLin[2]));
return [sRGB(rgbLin[0]), sRGB(rgbLin[1]), sRGB(rgbLin[2])];
}
function sAdj(a) {
return adjGamma(adj(a, midR, 1, maxR));
}
const gOff = 0.01;
const gOffPow = Math.pow(gOff, gamma);
const gOffRange = Math.pow(1 + gOff, gamma) - gOffPow;
function adjGamma(b) {
return (Math.pow((b + gOff), gamma) - gOffPow) / gOffRange;
}
// Saturation enhancement
function satEnh(r, g, b) {
const avgS = (r + g + b) / 3.0 * (1 - sat);
return [clip(avgS + r * sat), clip(avgS + g * sat), clip(avgS + b * sat)];
}
function clip(s) {
return s < 0 ? 0 : s > 1 ? 1 : s;
}
//contrast enhancement with highlight compression
function adj(a, tx, ty, maxC) {
var ar = clip(a / maxC, 0, 1);
return ar * (ar * (tx / maxC + ty - 1) - ty) / (ar * (2 * tx / maxC - 1) - tx / maxC);
}
const sRGB = (c) => c <= 0.0031308 ? (12.92 * c) : (1.055 * Math.pow(c, 0.41666666666) - 0.055);
const layer = new GeoRasterLayer({
attribution: "Contains modified Copernicus Sentinel data 2024, (c) Openstreetmap contributors provided by ASIT",
debugLevel: 0,
georaster,
resolution: 256,
opacity:1,
resampleMethod: "nearest",
pixelValuesToColorFn: values => {
// Check if any of the bands have a value of 9999 or 0
if (values.some(value => value === 9999 )) {
//if (values.some(value => value === 9999 || value === 0)) {
// If any band has a value of 9999 or 0, return transparent color
return 'rgba(0, 0, 0, 0)'; // Transparent color
} else {
// Apply min-max normalization to each band
const r = Math.round(evaluatePixel(values[0]/10000, values[1]/10000, values[2]/10000)[0] * 255);
const g = Math.round(evaluatePixel(values[0]/10000, values[1]/10000, values[2]/10000)[1] * 255);
const b = Math.round(evaluatePixel(values[0]/10000, values[1]/10000, values[2]/10000)[2] * 255);
// Return RGB color
return `rgba(${r},${g},${b},1)`;
}
}
});
layer.addTo(map);
map.fitBounds(layer.getBounds());
});
} else {
console.log("This is RGB data");
// Parse the GeoTIFF data
parseGeoraster(url_to_geotiff_file).then(function (georaster) {
console.log("georaster:", georaster);
const layer = new GeoRasterLayer({
attribution: "Contains user data, (c) Openstreetmap contributors provided by ASIT",
debugLevel: 0,
georaster,
resolution: 256,
opacity: 1,
});
layer.addTo(map);
map.fitBounds(layer.getBounds());
});
};
// Prompt user for GeoTIFF URL if none is provided
if (!url_to_geotiff_file) {
const defaultGeoTIFFURL = "https://data.geo.admin.ch/ch.swisstopo.swisseo_s2-sr_v100/2024-02-23t103031/ch.swisstopo.swisseo_s2-sr_v100_mosaic_2024-02-23t103031_bands-10m.tif";
const userGeoTIFFURL = prompt("Please enter the URL for the RGB GeoTIFF file (EPSG:2056):", defaultGeoTIFFURL);
if (userGeoTIFFURL) {
const parser = new URL(window.location);
parser.searchParams.set("url", userGeoTIFFURL);
window.location = parser.href;
} else {
document.getElementById("map").innerHTML = "<h3>No GeoTIFF URL provided</h3>";
}
}
</script>
</body>


