539 lines
26 KiB
HTML
539 lines
26 KiB
HTML
<!DOCTYPE html>
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<html>
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<head>
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<title>S2 Band Reflectance Timeseries</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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.nav { margin-bottom: 15px; font-size: 14px; }
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.nav a { margin-right: 12px; color: #0066cc; text-decoration: none; }
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.nav a:hover { text-decoration: underline; }
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.nav a.active { font-weight: bold; }
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.container { max-width: 1400px; margin: 0 auto; padding: 20px; }
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.header-sticky { position: sticky; top: 0; background: white; z-index: 1000; border-bottom: 1px solid #ccc; padding-bottom: 20px; margin-bottom: 20px; }
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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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.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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#dateDisplay { text-align: center; font-size: 14px; color: #666; }
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.map-label { font-size: 12px; margin-bottom: 3px; color: #666; }
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.map-date { font-size: 11px; margin-top: 3px; color: #999; }
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#s2map { height: 400px; border: 1px solid #ccc; margin-top: 10px; }
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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="header-sticky">
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<div class="nav">
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<a href="index.html">Full</a>
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<a href="preselection.html" class="active">Pre-selection</a>
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<a href="prepared.html">Prepared</a>
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<a href="fusion.html">Fusion</a>
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<a href="postprocessed.html">Postprocessed</a>
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<a href="metrics.html">Metrics</a>
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</div>
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<h1 id="siteName">Innsbruck</h1>
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<div class="season-row"><h2 id="season">2024</h2><span class="download-links" id="downloadLinks"></span></div>
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<div class="selectors">
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<label>Site:</label>
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<select id="siteSelect"></select>
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<label>Season:</label>
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<select id="seasonSelect"></select>
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<label>Source:</label>
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<select id="sourceSelect">
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<option value="s2">S2</option>
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<option value="s3">S3</option>
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</select>
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<label>Exclusion:</label>
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<select id="exclusionSelect">
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<option value="none">None</option>
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<option value="aggressive">Aggressive</option>
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<option value="nonaggressive">Non-aggressive</option>
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</select>
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</div>
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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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</div>
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<div class="map-label" id="mapLabel">S2 RGB (closest available)</div>
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<div id="s2rgbdate" class="map-date"></div>
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<div id="s2map"></div>
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<div id="bandPlots"></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 BANDS = [
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{ key: "b02", label: "B02 (Blue)", color: "#0066ff" },
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{ key: "b03", label: "B03 (Green)", color: "#00aa00" },
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{ key: "b04", label: "B04 (Red)", color: "#cc0000" },
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{ key: "b8a", label: "B8A (NIR)", color: "#9900cc" }
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];
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let siteName = "innsbruck", season = "2024";
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let source = "s2";
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let exclusion = "none";
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let sitePosition = [47.116171, 11.320308];
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let start = new Date(2024, 0, 1);
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let timeseries = [];
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let gccTimeseries = [];
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let ndviTimeseries = [];
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let availableSiteSeasons = {};
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let s2Map = null, s2Overlay = null, s2Marker = null;
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const urlParams = new URLSearchParams(location.search);
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function filteredTimeseries(arr) {
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if (exclusion === "none") return arr;
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const key = exclusion === "aggressive" ? "excluded_aggressive" : "excluded_nonaggressive";
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return arr.filter(t => !t[key]);
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}
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function fmtDate(d) {
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return `${d.getFullYear()}-${String(d.getMonth() + 1).padStart(2, "0")}-${String(d.getDate()).padStart(2, "0")}`;
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}
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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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function drawBandPlot(canvasId, bandKey, bandLabel, color) {
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const canvas = document.getElementById(canvasId);
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if (!canvas) return;
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const ctx = canvas.getContext("2d");
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canvas.width = canvas.offsetWidth;
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canvas.height = 100;
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const w = canvas.width, h = canvas.height, pad = 30;
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const plotW = w - pad * 2, plotH = h - pad * 2;
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const data = filteredTimeseries(timeseries).filter(t => t[bandKey] != null);
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if (!data.length) return;
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const dates = data.map(t => new Date(t.date));
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const values = data.map(t => t[bandKey]);
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const minDate = new Date(Math.min(...dates)), maxDate = new Date(Math.max(...dates));
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const dateRange = maxDate - minDate || 1;
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const minVal = Math.min(...values), maxVal = Math.max(...values);
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const valRange = maxVal - minVal || 1;
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const x = (d) => pad + ((new Date(d) - minDate) / dateRange) * plotW;
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const y = (v) => pad + plotH - ((v - minVal) / valRange) * plotH;
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ctx.clearRect(0, 0, w, h);
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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(minVal.toFixed(4), 2, pad + plotH + 10);
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ctx.fillText(maxVal.toFixed(4), 2, pad + 3);
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ctx.strokeStyle = color;
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ctx.beginPath();
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data.forEach((t, i) => {
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const px = x(t.date), py = y(t[bandKey]);
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i === 0 ? ctx.moveTo(px, py) : ctx.lineTo(px, py);
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});
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ctx.stroke();
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ctx.fillStyle = "#888";
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const axisY = pad + plotH;
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for (const t of data) ctx.fillRect(x(t.date) - 1, axisY - 1, 2, 2);
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const currentDate = dateFromDays(parseInt(document.getElementById("dateSlider").value));
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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) {
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ctx.fillStyle = "#f00";
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ctx.font = "bold 10px sans-serif";
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ctx.fillText(closest[bandKey].toFixed(4), xPos + 5, y(closest[bandKey]) - 5);
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}
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}
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function drawNdviPlot() {
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const canvas = document.getElementById("plot_ndvi");
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if (!canvas) return;
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const ctx = canvas.getContext("2d");
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canvas.width = canvas.offsetWidth;
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canvas.height = 100;
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const w = canvas.width, h = canvas.height, pad = 30;
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const plotW = w - pad * 2, plotH = h - pad * 2;
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const data = filteredTimeseries(ndviTimeseries).filter(t => t.ndvi != null);
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if (!data.length) return;
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const dates = data.map(t => new Date(t.date));
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const values = data.map(t => t.ndvi);
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const minDate = new Date(Math.min(...dates)), maxDate = new Date(Math.max(...dates));
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const dateRange = maxDate - minDate || 1;
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const minVal = Math.min(...values), maxVal = Math.max(...values);
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const valRange = maxVal - minVal || 1;
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const x = (d) => pad + ((new Date(d) - minDate) / dateRange) * plotW;
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const y = (v) => pad + plotH - ((v - minVal) / valRange) * plotH;
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ctx.clearRect(0, 0, w, h);
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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(minVal.toFixed(3), 2, pad + plotH + 10);
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ctx.fillText(maxVal.toFixed(3), 2, pad + 3);
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ctx.strokeStyle = "#2d7a3e";
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ctx.beginPath();
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data.forEach((t, i) => {
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const px = x(t.date), py = y(t.ndvi);
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i === 0 ? ctx.moveTo(px, py) : ctx.lineTo(px, py);
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});
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ctx.stroke();
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ctx.fillStyle = "#888";
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const axisY = pad + plotH;
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for (const t of data) ctx.fillRect(x(t.date) - 1, axisY - 1, 2, 2);
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const currentDate = dateFromDays(parseInt(document.getElementById("dateSlider").value));
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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) {
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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, y(closest.ndvi) - 5);
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}
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}
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function drawGccPlot() {
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const canvas = document.getElementById("plot_gcc");
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if (!canvas) return;
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const ctx = canvas.getContext("2d");
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canvas.width = canvas.offsetWidth;
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canvas.height = 100;
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const w = canvas.width, h = canvas.height, pad = 30;
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const plotW = w - pad * 2, plotH = h - pad * 2;
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const data = filteredTimeseries(gccTimeseries).filter(t => t.greenness_index != null);
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if (!data.length) return;
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const dates = data.map(t => new Date(t.date));
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const values = data.map(t => t.greenness_index);
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const minDate = new Date(Math.min(...dates)), maxDate = new Date(Math.max(...dates));
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const dateRange = maxDate - minDate || 1;
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const minVal = Math.min(...values), maxVal = Math.max(...values);
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const valRange = maxVal - minVal || 1;
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const x = (d) => pad + ((new Date(d) - minDate) / dateRange) * plotW;
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const y = (v) => pad + plotH - ((v - minVal) / valRange) * plotH;
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ctx.clearRect(0, 0, w, h);
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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(minVal.toFixed(3), 2, pad + plotH + 10);
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ctx.fillText(maxVal.toFixed(3), 2, pad + 3);
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ctx.strokeStyle = "#00aa00";
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ctx.beginPath();
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data.forEach((t, i) => {
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const px = x(t.date), py = y(t.greenness_index);
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i === 0 ? ctx.moveTo(px, py) : ctx.lineTo(px, py);
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});
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ctx.stroke();
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ctx.fillStyle = "#888";
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const axisY = pad + plotH;
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for (const t of data) ctx.fillRect(x(t.date) - 1, axisY - 1, 2, 2);
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const currentDate = dateFromDays(parseInt(document.getElementById("dateSlider").value));
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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) {
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ctx.fillStyle = "#f00";
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ctx.font = "bold 10px sans-serif";
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ctx.fillText(closest.greenness_index.toFixed(3), xPos + 5, y(closest.greenness_index) - 5);
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}
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}
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function drawAllPlots() {
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drawNdviPlot();
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drawGccPlot();
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BANDS.forEach(b => drawBandPlot(`plot_${b.key}`, b.key, b.label, b.color));
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}
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function computeGcc(entry) {
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const b = entry.b02 + entry.b03 + entry.b04;
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return b > 0 ? entry.b03 / b : null;
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}
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async function loadTimeseries() {
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const rawBase = `data/${siteName}/${season}/raw`;
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const src = document.getElementById("sourceSelect")?.value || "s2";
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source = src;
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try {
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const preselectionRes = await fetch(`${rawBase}/preselection/${source}_preselection.json`);
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const preselection = preselectionRes.ok ? await preselectionRes.json() : [];
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timeseries = preselection;
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ndviTimeseries = preselection;
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gccTimeseries = preselection.map(t => ({ ...t, greenness_index: computeGcc(t) })).filter(t => t.greenness_index != null);
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} catch {
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timeseries = [];
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ndviTimeseries = [];
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gccTimeseries = [];
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}
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const srcLabel = source.toUpperCase();
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document.getElementById("mapLabel").textContent = `${srcLabel} RGB (closest available)`;
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const jsonUrl = `${rawBase}/preselection/${source}_preselection.json`;
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const csvUrl = `${rawBase}/preselection/${source}_preselection.csv`;
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document.getElementById("downloadLinks").innerHTML =
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`<a href="${jsonUrl}" download="${siteName}_${season}_${source}_preselection.json" target="_blank">[JSON]</a>` +
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`<a href="${csvUrl}" download="${siteName}_${season}_${source}_preselection.csv" target="_blank">[CSV]</a>`;
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document.getElementById("bandPlots").innerHTML =
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`<div class="plot-label">${srcLabel} NDVI</div><canvas id="plot_ndvi" class="plot"></canvas>` +
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`<div class="plot-label">${srcLabel} GCC (Greenness Index)</div><canvas id="plot_gcc" class="plot"></canvas>` +
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BANDS.map(b => `<div class="plot-label">${b.label}</div><canvas id="plot_${b.key}" class="plot"></canvas>`).join("");
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const yearEnd = new Date(parseInt(season), 11, 31);
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document.getElementById("dateSlider").max = Math.ceil((yearEnd - start) / 86400000);
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drawAllPlots();
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document.getElementById("dateDisplay").textContent = dateFromDays(parseInt(document.getElementById("dateSlider").value));
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updateS2Imagery();
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}
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async function probeDataExists(sitename, s) {
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try {
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const res = await fetch(`data/${sitename}/${s}/raw/preselection/s2_preselection.json`, { method: "HEAD" });
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return res.ok;
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} catch { return false; }
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}
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function getSiteBySitename(sitename) {
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return window.sitesData?.features?.find(f => f.properties?.sitename === sitename);
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}
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async function setSiteSeason(newSite, newSeason) {
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siteName = newSite;
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season = newSeason;
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start = new Date(parseInt(season), 0, 1);
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const site = getSiteBySitename(newSite);
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if (site?.geometry?.coordinates) {
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const [lon, lat] = site.geometry.coordinates;
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sitePosition = [lat, lon];
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}
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if (s2Map) { s2Map.setView(sitePosition, 12); if (s2Marker) s2Marker.setLatLng(sitePosition); }
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document.getElementById("siteName").textContent = (site?.properties?.description || newSite);
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document.getElementById("season").textContent = season;
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const params = new URLSearchParams(location.search);
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params.set("site", siteName);
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params.set("season", season);
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history.replaceState({}, "", `?${params}`);
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await loadTimeseries();
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const urlDate = params.get("date");
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if (urlDate) document.getElementById("dateSlider").value = daysFromDate(urlDate);
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}
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async function init() {
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try {
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const res = await fetch("data/sites.geojson");
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window.sitesData = res.ok ? await res.json() : { features: [] };
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} catch {
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window.sitesData = { features: [] };
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}
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const features = window.sitesData.features || [];
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for (const f of features) {
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const sn = f.properties?.sitename;
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if (!sn) continue;
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const seasonsFromGeo = f.properties?.seasons ? Object.keys(f.properties.seasons).sort() : [];
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const withData = [];
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for (const s of seasonsFromGeo) {
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if (await probeDataExists(sn, s)) withData.push(s);
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}
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if (withData.length) availableSiteSeasons[sn] = withData;
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}
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const availableSites = Object.keys(availableSiteSeasons);
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const siteSelect = document.getElementById("siteSelect");
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siteSelect.innerHTML = "";
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(availableSites.length ? availableSites.sort() : ["innsbruck"]).forEach(sn => {
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const opt = document.createElement("option");
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opt.value = sn;
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opt.textContent = sn;
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siteSelect.appendChild(opt);
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if (!availableSiteSeasons[sn]) availableSiteSeasons[sn] = ["2024"];
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});
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const urlSite = urlParams.get("site");
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|
const urlSeason = urlParams.get("season");
|
|
const initialSite = (urlSite && availableSiteSeasons[urlSite]) ? urlSite : (availableSites[0] || "innsbruck");
|
|
const initialSeason = (urlSeason && (availableSiteSeasons[initialSite] || []).includes(urlSeason)) ? urlSeason : ((availableSiteSeasons[initialSite] || [])[0] || "2024");
|
|
|
|
siteSelect.value = initialSite;
|
|
document.getElementById("seasonSelect").innerHTML = (availableSiteSeasons[initialSite] || []).map(s =>
|
|
`<option value="${s}">${s}</option>`
|
|
).join("");
|
|
document.getElementById("seasonSelect").value = initialSeason;
|
|
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) {
|
|
const [lon, lat] = initSite.geometry.coordinates;
|
|
sitePosition = [lat, lon];
|
|
}
|
|
const osmUrl = "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png";
|
|
s2Map = L.map("s2map", { zoomControl: false }).setView(sitePosition, 12)
|
|
.addLayer(L.tileLayer(osmUrl, { attribution: "OpenStreetMap", opacity: 0.4 }));
|
|
s2Marker = L.marker(sitePosition, { icon: L.divIcon({ className: "site-marker", html: "<div style='width:8px;height:8px;background:red;border:2px solid white;border-radius:50%;box-shadow:0 0 2px rgba(0,0,0,0.5);'></div>", iconSize: [8, 8] }) }).addTo(s2Map);
|
|
|
|
siteSelect.addEventListener("change", function() {
|
|
const sn = this.value;
|
|
const seas = availableSiteSeasons[sn] || [];
|
|
document.getElementById("seasonSelect").innerHTML = seas.map(s => `<option value="${s}">${s}</option>`).join("");
|
|
document.getElementById("seasonSelect").value = seas[0] || "2024";
|
|
setSiteSeason(sn, document.getElementById("seasonSelect").value);
|
|
});
|
|
document.getElementById("seasonSelect").addEventListener("change", function() {
|
|
setSiteSeason(siteSelect.value, this.value);
|
|
});
|
|
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);
|
|
}
|
|
|
|
document.getElementById("dateSlider").addEventListener("input", function() {
|
|
document.getElementById("dateDisplay").textContent = dateFromDays(parseInt(this.value));
|
|
drawAllPlots();
|
|
updateS2Imagery();
|
|
});
|
|
|
|
function closestFilename(dateStr) {
|
|
const target = new Date(dateStr);
|
|
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
|
|
);
|
|
return closest.filename;
|
|
}
|
|
|
|
function transformBounds(bbox, fromCRS) {
|
|
const sw = proj4(fromCRS, "EPSG:4326", [bbox[0], bbox[1]]);
|
|
const ne = proj4(fromCRS, "EPSG:4326", [bbox[2], bbox[3]]);
|
|
return [[sw[1], sw[0]], [ne[1], ne[0]]];
|
|
}
|
|
|
|
async function loadS2Geotiff(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();
|
|
const width = image.getWidth(), height = image.getHeight();
|
|
const bbox = image.getBoundingBox();
|
|
const geoKeys = image.getGeoKeys();
|
|
const crsCode = geoKeys.ProjectedCSTypeGeoKey ? `EPSG:${geoKeys.ProjectedCSTypeGeoKey}` :
|
|
(geoKeys.GeographicTypeGeoKey !== 4326 ? `EPSG:${geoKeys.GeographicTypeGeoKey}` : "EPSG:4326");
|
|
const [blue, green, red] = [0, 1, 2].map(i => Array.from(rasters[i]));
|
|
const normalize = (arr) => {
|
|
let min = Infinity, max = -Infinity;
|
|
for (const v of arr) if (!isNaN(v) && v > 0) { min = Math.min(min, v); max = Math.max(max, v); }
|
|
return arr.map(v => Math.max(0, Math.min(255, ((v - min) / (max - min || 1)) * 255)));
|
|
};
|
|
const [rN, gN, bN] = [red, green, blue].map(normalize);
|
|
const canvas = Object.assign(document.createElement("canvas"), { width, height });
|
|
const ctx = canvas.getContext("2d");
|
|
ctx.imageSmoothingEnabled = false;
|
|
const imgData = ctx.createImageData(width, height);
|
|
for (let i = 0; i < rN.length; i++) {
|
|
const idx = i * 4;
|
|
if (rN[i] === 0 && gN[i] === 0 && bN[i] === 0) imgData.data[idx + 3] = 0;
|
|
else { imgData.data[idx] = rN[i]; imgData.data[idx + 1] = gN[i]; imgData.data[idx + 2] = bN[i]; imgData.data[idx + 3] = 255; }
|
|
}
|
|
ctx.putImageData(imgData, 0, 0);
|
|
const bounds = crsCode === "EPSG:4326" ? [[bbox[1], bbox[0]], [bbox[3], bbox[2]]] : transformBounds(bbox, crsCode);
|
|
return { dataUrl: canvas.toDataURL(), bounds };
|
|
}
|
|
|
|
async function updateS2Imagery() {
|
|
const dateStr = dateFromDays(parseInt(document.getElementById("dateSlider").value));
|
|
const filename = closestFilename(dateStr);
|
|
if (!filename || !s2Map) {
|
|
if (s2Overlay) { s2Map.removeLayer(s2Overlay); s2Overlay = null; }
|
|
document.getElementById("s2rgbdate").textContent = "";
|
|
return;
|
|
}
|
|
try {
|
|
const { dataUrl, bounds } = await loadS2Geotiff(filename);
|
|
if (s2Overlay) s2Map.removeLayer(s2Overlay);
|
|
s2Overlay = L.imageOverlay(dataUrl, bounds, { opacity: 0.95 }).addTo(s2Map);
|
|
s2Map.fitBounds(bounds);
|
|
const d = filename.split("_")[0];
|
|
document.getElementById("s2rgbdate").textContent = `${d.slice(0,4)}-${d.slice(4,6)}-${d.slice(6,8)}`;
|
|
} catch (e) {
|
|
if (s2Overlay) { s2Map.removeLayer(s2Overlay); s2Overlay = null; }
|
|
document.getElementById("s2rgbdate").textContent = "";
|
|
}
|
|
}
|
|
|
|
init();
|
|
</script>
|
|
</body>
|
|
</html>
|