Fixed preselection viewer.
This commit is contained in:
Felix Delattre
parent
ac0e687956
commit
585b2d31b0
4 changed files with 82 additions and 401 deletions
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@ -1,354 +0,0 @@
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<!DOCTYPE html>
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<html>
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<head>
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<title>NDVI Viewer</title>
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<link rel="stylesheet" href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css" />
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<script src="https://unpkg.com/leaflet@1.9.4/dist/leaflet.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/geotiff@2.0.7/dist-browser/geotiff.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/proj4@2.9.0/dist/proj4.js"></script>
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<style>
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body { margin: 0; font-family: sans-serif; }
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.slider-container { position: sticky; top: 0; background: white; padding: 20px; z-index: 1000; border-bottom: 1px solid #ccc; }
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.container { max-width: 1400px; margin: 0 auto; padding: 20px; }
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#dateSlider { width: 100%; }
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#dateDisplay { text-align: center; margin: 10px 0; font-size: 18px; }
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.maps { display: flex; gap: 20px; }
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.map-container { flex: 1; }
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.map-container h3 { margin: 10px 0; text-align: center; }
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.timeseries-label { font-size: 12px; margin-bottom: 5px; color: #666; }
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.timeseries { width: 100%; height: 120px; border: 1px solid #ccc; margin-bottom: 10px; }
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.map-label { font-size: 12px; margin-bottom: 5px; color: #666; }
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.map-date { font-size: 11px; margin-top: 5px; color: #999; }
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.map { height: 500px; border: 1px solid #ccc; }
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.leaflet-image-layer { image-rendering: pixelated; }
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.leaflet-control-attribution { display: none; }
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</style>
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</head>
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<body>
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<div class="container">
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<div class="slider-container">
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<input type="range" id="dateSlider" min="0" max="365" value="0">
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<div id="dateDisplay">2024-01-01</div>
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<label style="display: flex; align-items: center; justify-content: center; gap: 8px; margin-top: 10px;">
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<input type="checkbox" id="showClouds" checked>
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<span>Show cloud-covered data</span>
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</label>
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</div>
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<div class="maps">
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<div class="map-container">
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<h3>S2</h3>
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<div class="timeseries-label">NDVI Timeseries</div>
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<canvas id="s2timeseries" class="timeseries"></canvas>
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<div class="map-label">RGB Imagery</div>
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<div id="s2rgbdate" class="map-date"></div>
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<div id="s2map" class="map"></div>
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<div class="map-label">NDVI Imagery</div>
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<div id="s2ndvidate" class="map-date"></div>
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<div id="s2ndvimap" class="map"></div>
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</div>
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<div class="map-container">
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<h3>S3</h3>
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<div class="timeseries-label">NDVI Timeseries</div>
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<canvas id="s3timeseries" class="timeseries"></canvas>
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<div class="map-label">RGB Imagery</div>
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<div id="s3rgbdate" class="map-date"></div>
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<div id="s3map" class="map"></div>
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<div class="map-label">NDVI Imagery</div>
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<div id="s3ndvidate" class="map-date"></div>
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<div id="s3ndvimap" class="map"></div>
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</div>
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</div>
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</div>
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<script>
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proj4.defs("EPSG:32632", "+proj=utm +zone=32 +datum=WGS84 +units=m +no_defs");
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proj4.defs("EPSG:4326", "+proj=longlat +datum=WGS84 +no_defs");
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const start = new Date(2024, 0, 1);
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const slider = document.getElementById("dateSlider");
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const dateDisplay = document.getElementById("dateDisplay");
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const osmUrl = "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png";
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const osmOpts = { attribution: "OpenStreetMap", opacity: 0.4 };
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const mapOpts = { zoomControl: false };
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const maps = {
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s2: L.map("s2map", mapOpts).setView([47.27, 11.39], 12).addLayer(L.tileLayer(osmUrl, osmOpts)),
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s3: L.map("s3map", mapOpts).setView([47.27, 11.39], 12).addLayer(L.tileLayer(osmUrl, osmOpts))
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};
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const ndvimaps = {
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s2: L.map("s2ndvimap", mapOpts).setView([47.27, 11.39], 12).addLayer(L.tileLayer(osmUrl, osmOpts)),
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s3: L.map("s3ndvimap", mapOpts).setView([47.27, 11.39], 12).addLayer(L.tileLayer(osmUrl, osmOpts))
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};
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const overlays = { s2: null, s3: null };
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const ndviOverlays = { s2: null, s3: null };
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let timeseries = { s2: [], s3: [] };
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let clouds = { s2: new Set(), s3: new Set() };
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const showCloudsCheckbox = document.getElementById("showClouds");
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async function loadTimeseries() {
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const [s2, s3] = await Promise.all([
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fetch("../data/innsbruck/2024/raw/preselection/s2_preselection.json").then(r => r.json()),
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fetch("../data/innsbruck/2024/raw/preselection/s3_preselection.json").then(r => r.json())
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]);
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timeseries = { s2, s3 };
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clouds = {
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s2: new Set((s2 || []).filter(e => e.excluded_aggressive).map(e => e.filename)),
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s3: new Set((s3 || []).filter(e => e.excluded_aggressive).map(e => e.filename))
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};
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drawTimeseries();
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}
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function drawTimeseries() {
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const currentDate = dateFromDays(parseInt(slider.value));
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for (const source of ["s2", "s3"]) {
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const canvas = document.getElementById(`${source}timeseries`);
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const ctx = canvas.getContext("2d");
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canvas.width = canvas.offsetWidth;
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canvas.height = 120;
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const w = canvas.width, h = canvas.height;
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const pad = 30;
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const plotW = w - pad * 2, plotH = h - pad * 2;
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ctx.clearRect(0, 0, w, h);
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let data = timeseries[source].filter(t => t.ndvi !== null);
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if (!showCloudsCheckbox.checked && clouds[source]) {
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data = data.filter(t => !clouds[source].has(t.filename));
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}
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if (!data.length) continue;
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const dates = data.map(t => new Date(t.date));
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const minDate = new Date(Math.min(...dates));
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const maxDate = new Date(Math.max(...dates));
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const dateRange = maxDate - minDate;
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const ndvi = data.map(t => t.ndvi);
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const minNdvi = Math.min(...ndvi);
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const maxNdvi = Math.max(...ndvi);
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const ndviRange = maxNdvi - minNdvi;
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const x = (d) => pad + ((new Date(d) - minDate) / dateRange) * plotW;
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const y = (v) => pad + plotH - ((v - minNdvi) / ndviRange) * plotH;
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ctx.strokeStyle = "#ccc";
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ctx.beginPath();
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ctx.moveTo(pad, pad);
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ctx.lineTo(pad, pad + plotH);
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ctx.lineTo(pad + plotW, pad + plotH);
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ctx.stroke();
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ctx.fillStyle = "#000";
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ctx.font = "9px sans-serif";
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ctx.fillText(minNdvi.toFixed(2), 2, pad + plotH + 10);
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ctx.fillText(maxNdvi.toFixed(2), 2, pad + 3);
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ctx.strokeStyle = source === "s2" ? "#0066ff" : "#ff6600";
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ctx.beginPath();
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let first = true;
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for (const t of data) {
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const px = x(t.date), py = y(t.ndvi);
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if (first) { ctx.moveTo(px, py); first = false; }
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else ctx.lineTo(px, py);
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}
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ctx.stroke();
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const xPos = x(currentDate);
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ctx.strokeStyle = "#f00";
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ctx.lineWidth = 2;
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ctx.beginPath();
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ctx.moveTo(xPos, pad);
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ctx.lineTo(xPos, pad + plotH);
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ctx.stroke();
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const closest = data.reduce((c, t) =>
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Math.abs(new Date(t.date) - new Date(currentDate)) < Math.abs(new Date(c.date) - new Date(currentDate)) ? t : c
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);
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if (closest && closest.ndvi !== null) {
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const yPos = y(closest.ndvi);
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ctx.fillStyle = "#f00";
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ctx.font = "bold 10px sans-serif";
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ctx.fillText(closest.ndvi.toFixed(3), xPos + 5, yPos - 5);
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}
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}
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}
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async function findFile(dateStr, source) {
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const target = new Date(dateStr);
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for (let offset = 0; offset < 15; offset++) {
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for (const dir of [0, -1, 1]) {
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const d = new Date(target);
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d.setDate(d.getDate() + offset * dir);
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const date = d.toISOString().split("T")[0].replace(/-/g, "");
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for (let i = 0; i < 3; i++) {
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const filename = `${date}_${i}.geotiff`;
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if (!showCloudsCheckbox.checked && clouds[source] && clouds[source].has(filename)) continue;
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try {
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const res = await fetch(`../data/innsbruck/2024/raw/${source}/${filename}`);
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if (res.ok) return filename;
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} catch {}
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}
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}
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}
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return null;
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}
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function transformBounds(bbox, fromCRS) {
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const [sw, ne] = [proj4(fromCRS, "EPSG:4326", [bbox[0], bbox[1]]), proj4(fromCRS, "EPSG:4326", [bbox[2], bbox[3]])];
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return [[sw[1], sw[0]], [ne[1], ne[0]]];
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}
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async function loadGeotiff(source, filename) {
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const path = `../data/innsbruck/2024/raw/${source}/${filename}`;
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const tiff = await GeoTIFF.fromArrayBuffer(await (await fetch(path)).arrayBuffer());
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const image = await tiff.getImage();
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const rasters = await image.readRasters();
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const width = image.getWidth();
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const height = image.getHeight();
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const bbox = image.getBoundingBox();
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const geoKeys = image.getGeoKeys();
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const crsCode = geoKeys.ProjectedCSTypeGeoKey ? `EPSG:${geoKeys.ProjectedCSTypeGeoKey}` :
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geoKeys.GeographicTypeGeoKey !== 4326 ? `EPSG:${geoKeys.GeographicTypeGeoKey}` : "EPSG:4326";
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const bandIndices = [0, 1, 2];
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const [blue, green, red] = bandIndices.map(i => Array.from(rasters[i]));
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const normalize = (arr) => {
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let min = Infinity, max = -Infinity;
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for (const v of arr) if (!isNaN(v) && v > 0) { min = Math.min(min, v); max = Math.max(max, v); }
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return arr.map(v => Math.max(0, Math.min(255, ((v - min) / (max - min || 1)) * 255)));
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};
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const [rNorm, gNorm, bNorm] = [red, green, blue].map(normalize);
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const canvas = Object.assign(document.createElement("canvas"), { width, height });
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const ctx = canvas.getContext("2d");
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ctx.imageSmoothingEnabled = false;
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const imgData = ctx.createImageData(width, height);
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for (let i = 0; i < rNorm.length; i++) {
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const idx = i * 4;
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if (rNorm[i] === 0 && gNorm[i] === 0 && bNorm[i] === 0) {
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imgData.data[idx + 3] = 0;
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} else {
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imgData.data[idx] = rNorm[i];
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imgData.data[idx + 1] = gNorm[i];
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imgData.data[idx + 2] = bNorm[i];
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imgData.data[idx + 3] = 255;
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}
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}
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ctx.putImageData(imgData, 0, 0);
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const bounds = crsCode === "EPSG:4326" ? [[bbox[1], bbox[0]], [bbox[3], bbox[2]]] : transformBounds(bbox, crsCode);
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if (overlays[source]) maps[source].removeLayer(overlays[source]);
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overlays[source] = L.imageOverlay(canvas.toDataURL(), bounds, { opacity: 0.95 }).addTo(maps[source]);
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maps[source].fitBounds(bounds);
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const dateStr = filename.split("_")[0];
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const date = `${dateStr.slice(0,4)}-${dateStr.slice(4,6)}-${dateStr.slice(6,8)}`;
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document.getElementById(`${source}rgbdate`).textContent = date;
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}
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async function loadNDVI(source, filename) {
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const tiff = await GeoTIFF.fromArrayBuffer(await (await fetch(`../data/innsbruck/2024/raw/${source}/${filename}`)).arrayBuffer());
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const image = await tiff.getImage();
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const data = Array.from((await image.readRasters())[0]);
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const width = image.getWidth();
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const height = image.getHeight();
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const bbox = image.getBoundingBox();
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const geoKeys = image.getGeoKeys();
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const crsCode = geoKeys.ProjectedCSTypeGeoKey ? `EPSG:${geoKeys.ProjectedCSTypeGeoKey}` :
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geoKeys.GeographicTypeGeoKey !== 4326 ? `EPSG:${geoKeys.GeographicTypeGeoKey}` : "EPSG:4326";
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let minVal = Infinity, maxVal = -Infinity;
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for (const v of data) if (!isNaN(v) && v !== 0) { minVal = Math.min(minVal, v); maxVal = Math.max(maxVal, v); }
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const canvas = Object.assign(document.createElement("canvas"), { width, height });
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const ctx = canvas.getContext("2d");
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ctx.imageSmoothingEnabled = false;
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const imgData = ctx.createImageData(width, height);
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for (let i = 0; i < data.length; i++) {
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const val = data[i];
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const idx = i * 4;
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if (val === 0 || isNaN(val)) {
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imgData.data[idx + 3] = 0;
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} else {
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const n = ((val - minVal) / (maxVal - minVal || 1)) * 255;
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imgData.data[idx] = imgData.data[idx + 1] = imgData.data[idx + 2] = n;
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imgData.data[idx + 3] = 255;
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}
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}
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ctx.putImageData(imgData, 0, 0);
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const bounds = crsCode === "EPSG:4326" ? [[bbox[1], bbox[0]], [bbox[3], bbox[2]]] : transformBounds(bbox, crsCode);
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if (ndviOverlays[source]) ndvimaps[source].removeLayer(ndviOverlays[source]);
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ndviOverlays[source] = L.imageOverlay(canvas.toDataURL(), bounds, { opacity: 0.95 }).addTo(ndvimaps[source]);
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ndvimaps[source].fitBounds(bounds);
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const dateStr = filename.split("_")[0];
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const date = `${dateStr.slice(0,4)}-${dateStr.slice(4,6)}-${dateStr.slice(6,8)}`;
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document.getElementById(`${source}ndvidate`).textContent = date;
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}
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const fmtDate = (d) => `${d.getFullYear()}-${String(d.getMonth() + 1).padStart(2, "0")}-${String(d.getDate()).padStart(2, "0")}`;
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const dateFromDays = (days) => fmtDate(new Date(start.getTime() + days * 86400000));
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const daysFromDate = (dateStr) => {
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const [y, m, d] = dateStr.split("-").map(Number);
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return Math.floor((new Date(y, m - 1, d) - start) / 86400000);
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};
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async function findNDVIFile(dateStr, source) {
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const target = new Date(dateStr);
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for (let offset = 0; offset < 15; offset++) {
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for (const dir of [0, -1, 1]) {
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const d = new Date(target);
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d.setDate(d.getDate() + offset * dir);
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const date = d.toISOString().split("T")[0].replace(/-/g, "");
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for (let i = 0; i < 3; i++) {
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const filename = `${date}_${i}.geotiff`;
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if (!showCloudsCheckbox.checked && clouds[source] && clouds[source].has(filename)) continue;
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try {
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const res = await fetch(`../data/innsbruck/2024/raw/${source}/${filename}`);
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if (res.ok) return filename;
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} catch {}
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}
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}
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}
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return null;
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}
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async function updateImages() {
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const date = dateFromDays(parseInt(slider.value));
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dateDisplay.textContent = date;
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const params = new URLSearchParams();
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params.set("date", date);
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if (!showCloudsCheckbox.checked) params.set("hideClouds", "1");
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history.replaceState({}, "", `?${params}`);
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drawTimeseries();
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for (const source of ["s2", "s3"]) {
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const filename = await findFile(date, source);
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if (filename) {
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try {
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await loadGeotiff(source, filename);
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} catch (e) {
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console.error(`Error loading ${source}:`, e);
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}
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}
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const ndviFilename = await findNDVIFile(date, source);
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if (ndviFilename) {
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try {
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await loadNDVI(source, ndviFilename);
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} catch (e) {
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console.error(`Error loading NDVI ${source}:`, e);
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}
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}
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}
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}
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const urlParams = new URLSearchParams(location.search);
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const urlDate = urlParams.get("date");
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if (urlDate) slider.value = daysFromDate(urlDate);
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if (urlParams.get("hideClouds") === "1") showCloudsCheckbox.checked = false;
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slider.addEventListener("input", updateImages);
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showCloudsCheckbox.addEventListener("change", updateImages);
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loadTimeseries().then(updateImages);
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</script>
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</body>
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</html>
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@ -12,7 +12,11 @@
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.selectors { margin-bottom: 20px; }
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.selectors select { padding: 5px 10px; font-size: 14px; margin-right: 15px; }
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h1 { margin: 0 0 5px 0; font-size: 22px; }
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h2 { margin: 0 0 15px 0; font-size: 16px; color: #666; }
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.season-row { padding-bottom: 15px; }
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h2 { margin: 0; font-size: 16px; color: #666; display: inline; }
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.download-links { margin-left: 10px; font-size: 14px; }
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.download-links a { margin-right: 8px; color: #0066cc; text-decoration: none; }
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.download-links a:hover { text-decoration: underline; }
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.plot { width: 100%; height: 100px; border: 1px solid #ccc; margin-bottom: 15px; }
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.plot-label { font-size: 12px; margin-bottom: 3px; color: #666; }
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#dateSlider { width: 100%; margin: 15px 0; }
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@ -27,23 +31,27 @@
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<body>
|
||||
<div class="container">
|
||||
<h1 id="siteName">Innsbruck</h1>
|
||||
<h2 id="season">2024</h2>
|
||||
<div class="season-row"><h2 id="season">2024</h2><span class="download-links" id="downloadLinks"></span></div>
|
||||
<div class="selectors">
|
||||
<label>Site:</label>
|
||||
<select id="siteSelect"></select>
|
||||
<label>Season:</label>
|
||||
<select id="seasonSelect"></select>
|
||||
<label>Scenario:</label>
|
||||
<select id="scenarioSelect">
|
||||
<option value="aggressive_20">Aggressive σ20</option>
|
||||
<option value="aggressive_30">Aggressive σ30</option>
|
||||
<option value="nonaggressive_20">Non-aggressive σ20</option>
|
||||
<option value="nonaggressive_30">Non-aggressive σ30</option>
|
||||
<label>Source:</label>
|
||||
<select id="sourceSelect">
|
||||
<option value="s2">S2</option>
|
||||
<option value="s3">S3</option>
|
||||
</select>
|
||||
<label>Exclusion:</label>
|
||||
<select id="exclusionSelect">
|
||||
<option value="none">None</option>
|
||||
<option value="aggressive">Aggressive</option>
|
||||
<option value="nonaggressive">Non-aggressive</option>
|
||||
</select>
|
||||
</div>
|
||||
<input type="range" id="dateSlider" min="0" max="365" value="0">
|
||||
<div id="dateDisplay">2024-01-01</div>
|
||||
<div class="map-label">S2 RGB (closest available)</div>
|
||||
<div class="map-label" id="mapLabel">S2 RGB (closest available)</div>
|
||||
<div id="s2rgbdate" class="map-date"></div>
|
||||
<div id="s2map"></div>
|
||||
<div id="bandPlots"></div>
|
||||
|
|
@ -59,6 +67,8 @@
|
|||
{ key: "b8a", label: "B8A (NIR)", color: "#9900cc" }
|
||||
];
|
||||
let siteName = "innsbruck", season = "2024";
|
||||
let source = "s2";
|
||||
let exclusion = "none";
|
||||
let sitePosition = [47.116171, 11.320308];
|
||||
let start = new Date(2024, 0, 1);
|
||||
let timeseries = [];
|
||||
|
|
@ -68,10 +78,11 @@
|
|||
let s2Map = null, s2Overlay = null, s2Marker = null;
|
||||
|
||||
const urlParams = new URLSearchParams(location.search);
|
||||
const [strategy, sigma] = (urlParams.get("scenario") || "aggressive_20").split("_");
|
||||
|
||||
function getBasePath() {
|
||||
return `processed_${strategy}_sigma${sigma || "20"}`;
|
||||
function filteredTimeseries(arr) {
|
||||
if (exclusion === "none") return arr;
|
||||
const key = exclusion === "aggressive" ? "excluded_aggressive" : "excluded_nonaggressive";
|
||||
return arr.filter(t => !t[key]);
|
||||
}
|
||||
|
||||
function fmtDate(d) {
|
||||
|
|
@ -92,7 +103,7 @@
|
|||
const w = canvas.width, h = canvas.height, pad = 30;
|
||||
const plotW = w - pad * 2, plotH = h - pad * 2;
|
||||
|
||||
const data = timeseries.filter(t => t[bandKey] != null);
|
||||
const data = filteredTimeseries(timeseries).filter(t => t[bandKey] != null);
|
||||
if (!data.length) return;
|
||||
|
||||
const dates = data.map(t => new Date(t.date));
|
||||
|
|
@ -157,7 +168,7 @@
|
|||
canvas.height = 100;
|
||||
const w = canvas.width, h = canvas.height, pad = 30;
|
||||
const plotW = w - pad * 2, plotH = h - pad * 2;
|
||||
const data = ndviTimeseries.filter(t => t.ndvi != null);
|
||||
const data = filteredTimeseries(ndviTimeseries).filter(t => t.ndvi != null);
|
||||
if (!data.length) return;
|
||||
|
||||
const dates = data.map(t => new Date(t.date));
|
||||
|
|
@ -221,7 +232,7 @@
|
|||
canvas.height = 100;
|
||||
const w = canvas.width, h = canvas.height, pad = 30;
|
||||
const plotW = w - pad * 2, plotH = h - pad * 2;
|
||||
const data = gccTimeseries.filter(t => t.greenness_index != null);
|
||||
const data = filteredTimeseries(gccTimeseries).filter(t => t.greenness_index != null);
|
||||
if (!data.length) return;
|
||||
|
||||
const dates = data.map(t => new Date(t.date));
|
||||
|
|
@ -283,25 +294,36 @@
|
|||
BANDS.forEach(b => drawBandPlot(`plot_${b.key}`, b.key, b.label, b.color));
|
||||
}
|
||||
|
||||
function computeGcc(entry) {
|
||||
const b = entry.b02 + entry.b03 + entry.b04;
|
||||
return b > 0 ? entry.b03 / b : null;
|
||||
}
|
||||
|
||||
async function loadTimeseries() {
|
||||
const base = `../data/${siteName}/${season}/${getBasePath()}`;
|
||||
const rawBase = `../data/${siteName}/${season}/raw`;
|
||||
const src = document.getElementById("sourceSelect")?.value || "s2";
|
||||
source = src;
|
||||
try {
|
||||
const [bandsRes, gccRes, ndviRes] = await Promise.all([
|
||||
fetch(`${base}/s2_bands/timeseries.json`),
|
||||
fetch(`${base}/gcc/s2/timeseries.json`),
|
||||
fetch(`${base}/ndvi/s2/timeseries.json`)
|
||||
]);
|
||||
timeseries = bandsRes.ok ? await bandsRes.json() : [];
|
||||
gccTimeseries = gccRes.ok ? await gccRes.json() : [];
|
||||
ndviTimeseries = ndviRes.ok ? await ndviRes.json() : [];
|
||||
const preselectionRes = await fetch(`${rawBase}/preselection/${source}_preselection.json`);
|
||||
const preselection = preselectionRes.ok ? await preselectionRes.json() : [];
|
||||
timeseries = preselection;
|
||||
ndviTimeseries = preselection;
|
||||
gccTimeseries = preselection.map(t => ({ ...t, greenness_index: computeGcc(t) })).filter(t => t.greenness_index != null);
|
||||
} catch {
|
||||
timeseries = [];
|
||||
gccTimeseries = [];
|
||||
ndviTimeseries = [];
|
||||
gccTimeseries = [];
|
||||
}
|
||||
const srcLabel = source.toUpperCase();
|
||||
document.getElementById("mapLabel").textContent = `${srcLabel} RGB (closest available)`;
|
||||
const jsonUrl = `${rawBase}/preselection/${source}_preselection.json`;
|
||||
const csvUrl = `${rawBase}/preselection/${source}_preselection.csv`;
|
||||
document.getElementById("downloadLinks").innerHTML =
|
||||
`<a href="${jsonUrl}" download="${siteName}_${season}_${source}_preselection.json" target="_blank">[JSON]</a>` +
|
||||
`<a href="${csvUrl}" download="${siteName}_${season}_${source}_preselection.csv" target="_blank">[CSV]</a>`;
|
||||
document.getElementById("bandPlots").innerHTML =
|
||||
`<div class="plot-label">S2 NDVI</div><canvas id="plot_ndvi" class="plot"></canvas>` +
|
||||
`<div class="plot-label">S2 GCC (Greenness Index)</div><canvas id="plot_gcc" class="plot"></canvas>` +
|
||||
`<div class="plot-label">${srcLabel} NDVI</div><canvas id="plot_ndvi" class="plot"></canvas>` +
|
||||
`<div class="plot-label">${srcLabel} GCC (Greenness Index)</div><canvas id="plot_gcc" class="plot"></canvas>` +
|
||||
BANDS.map(b => `<div class="plot-label">${b.label}</div><canvas id="plot_${b.key}" class="plot"></canvas>`).join("");
|
||||
const yearEnd = new Date(parseInt(season), 11, 31);
|
||||
document.getElementById("dateSlider").max = Math.ceil((yearEnd - start) / 86400000);
|
||||
|
|
@ -312,7 +334,7 @@
|
|||
|
||||
async function probeDataExists(sitename, s) {
|
||||
try {
|
||||
const res = await fetch(`../data/${sitename}/${s}/processed_aggressive_sigma20/s2_bands/timeseries.json`, { method: "HEAD" });
|
||||
const res = await fetch(`../data/${sitename}/${s}/raw/preselection/s2_preselection.json`, { method: "HEAD" });
|
||||
return res.ok;
|
||||
} catch { return false; }
|
||||
}
|
||||
|
|
@ -381,7 +403,9 @@
|
|||
`<option value="${s}">${s}</option>`
|
||||
).join("");
|
||||
document.getElementById("seasonSelect").value = initialSeason;
|
||||
document.getElementById("scenarioSelect").value = `${strategy}_${sigma || "20"}`;
|
||||
document.getElementById("sourceSelect").value = urlParams.get("source") || "s2";
|
||||
exclusion = urlParams.get("exclusion") || "none";
|
||||
document.getElementById("exclusionSelect").value = exclusion;
|
||||
|
||||
const initSite = getSiteBySitename(initialSite);
|
||||
if (initSite?.geometry?.coordinates) {
|
||||
|
|
@ -403,10 +427,18 @@
|
|||
document.getElementById("seasonSelect").addEventListener("change", function() {
|
||||
setSiteSeason(siteSelect.value, this.value);
|
||||
});
|
||||
document.getElementById("scenarioSelect").addEventListener("change", function() {
|
||||
const p = new URLSearchParams(location.search);
|
||||
p.set("scenario", this.value);
|
||||
window.location.search = p.toString();
|
||||
document.getElementById("sourceSelect").addEventListener("change", async function() {
|
||||
source = this.value;
|
||||
urlParams.set("source", source);
|
||||
history.replaceState({}, "", `?${urlParams}`);
|
||||
await loadTimeseries();
|
||||
});
|
||||
document.getElementById("exclusionSelect").addEventListener("change", function() {
|
||||
exclusion = this.value;
|
||||
urlParams.set("exclusion", exclusion);
|
||||
history.replaceState({}, "", `?${urlParams}`);
|
||||
drawAllPlots();
|
||||
updateS2Imagery();
|
||||
});
|
||||
|
||||
await setSiteSeason(initialSite, initialSeason);
|
||||
|
|
@ -420,7 +452,7 @@
|
|||
|
||||
function closestFilename(dateStr) {
|
||||
const target = new Date(dateStr);
|
||||
const withData = timeseries.filter(t => t.filename);
|
||||
const withData = filteredTimeseries(timeseries).filter(t => t.filename);
|
||||
if (!withData.length) return null;
|
||||
const closest = withData.reduce((c, t) =>
|
||||
Math.abs(new Date(t.date) - target) < Math.abs(new Date(c.date) - target) ? t : c
|
||||
|
|
@ -435,7 +467,7 @@
|
|||
}
|
||||
|
||||
async function loadS2Geotiff(filename) {
|
||||
const path = `../data/${siteName}/${season}/${getBasePath()}/s2/${filename}`;
|
||||
const path = `../data/${siteName}/${season}/raw/${source}/${filename}`;
|
||||
const tiff = await GeoTIFF.fromArrayBuffer(await (await fetch(path)).arrayBuffer());
|
||||
const image = await tiff.getImage();
|
||||
const rasters = await image.readRasters();
|
||||
Loading…
Add table
Add a link
Reference in a new issue