reduce visible stats.
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5ceeeabd11
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33746b35f9
2 changed files with 40 additions and 63 deletions
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@ -134,7 +134,10 @@
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<canvas id="scenariosgcctimeseries" class="combined-plot-canvas"></canvas>
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</div>
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<div class="combined-plot">
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<div class="combined-plot-label">Metrics Comparison: All Scenarios</div>
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<div class="combined-plot-label">Metrics vs PhenoCam (fusion scenarios)</div>
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<p style="margin:4px 0 8px; font-size:11px; color:#555; max-width:720px;">
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R² (variance explained), nRMSE (RMSE normalised by PhenoCam σ), NSE_PC (Nash–Sutcliffe vs PhenoCam). Other metrics remain in <code>metrics.json</code>.
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</p>
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<div id="metricsTable" style="overflow-x: auto; margin-top: 10px;"></div>
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</div>
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</div>
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@ -605,8 +608,8 @@
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const scenarios = ["aggressive_sigma20", "aggressive_sigma30", "nonaggressive_sigma20", "nonaggressive_sigma30"];
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const scenarioNames = ["Aggressive σ20", "Aggressive σ30", "Non-aggressive σ20", "Non-aggressive σ30"];
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const metrics = ["pearson_r", "r_squared", "rmse", "mae", "nrmse", "nse_pc"];
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const metricLabels = { pearson_r: "r", r_squared: "R²", rmse: "RMSE", mae: "MAE", nrmse: "nRMSE", nse_pc: "NSE_PC" };
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const metrics = ["r_squared", "nrmse", "nse_pc"];
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const metricLabels = { r_squared: "R²", nrmse: "nRMSE", nse_pc: "NSE_PC" };
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let html = "<table style='width:100%; border-collapse:collapse; font-size:11px;'>";
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html += "<thead><tr style='background:#f5f5f5; border-bottom:2px solid #ccc;'>";
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@ -621,7 +624,12 @@
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html += `<td style='padding:6px 8px; font-weight:600;'>S2 (baseline)</td>`;
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metrics.forEach(m => {
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const val = m === "nse_pc" ? (data.nse_pc ?? data.nse) : data[m];
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const fmt = val !== null && val !== undefined ? (m === "pearson_r" || m === "r_squared" || m === "nse_pc" ? val.toFixed(3) : val.toFixed(4)) : "—";
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const fmt =
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val !== null && val !== undefined
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? m === "nrmse"
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? val.toFixed(4)
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: val.toFixed(3)
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: "—";
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html += `<td style='padding:6px 8px; text-align:right; font-family:monospace;'>${fmt}</td>`;
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});
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html += "</tr>";
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@ -635,7 +643,12 @@
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html += `<td style='padding:6px 8px; font-weight:500;'>${scenarioNames[i]}</td>`;
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metrics.forEach(m => {
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const val = m === "nse_pc" ? (data.nse_pc ?? data.nse) : data[m];
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const fmt = val !== null && val !== undefined ? (m === "pearson_r" || m === "r_squared" || m === "nse_pc" ? val.toFixed(3) : val.toFixed(4)) : "—";
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const fmt =
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val !== null && val !== undefined
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? m === "nrmse"
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? val.toFixed(4)
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: val.toFixed(3)
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: "—";
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html += `<td style='padding:6px 8px; text-align:right; font-family:monospace;'>${fmt}</td>`;
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});
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html += "</tr>";
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@ -646,7 +659,7 @@
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// Add phenocam stats info if available
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if (metricsData.phenocam_stats) {
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const stats = metricsData.phenocam_stats;
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html += `<p style='margin-top:10px; font-size:10px; color:#666;'>PhenoCam stats: mean=${stats.mean.toFixed(3)}, std=${stats.std.toFixed(3)}, n=${stats.n_samples}</p>`;
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html += `<p style='margin-top:10px; font-size:10px; color:#666;'>PhenoCam GCC samples (ground truth): n = ${stats.n_samples}</p>`;
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}
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container.innerHTML = html;
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@ -18,7 +18,6 @@
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th, td { border: 1px solid #ccc; padding: 6px 8px; text-align: left; }
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th { background: #f5f5f5; }
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td.num { text-align: right; font-variant-numeric: tabular-nums; }
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.compare-note { font-size: 12px; color: #555; margin: 0 0 8px 0; max-width: 720px; }
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.section-note { font-size: 12px; color: #555; margin: -6px 0 8px 0; max-width: 720px; line-height: 1.45; }
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.section-note code { background: #f1f1f1; padding: 1px 4px; border-radius: 3px; font-size: 11px; }
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.intro { font-size: 13px; color: #333; background: #fafafa; border: 1px solid #e5e5e5;
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@ -50,10 +49,22 @@
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<div id="content"></div>
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</div>
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<script>
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const METRIC_COLS = ["pearson_r", "r_squared", "rmse", "mae", "nrmse", "nse_pc", "n_samples"];
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/** Shown in the UI; pearson_r, rmse, mae, n_samples remain in metrics.json only. */
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const DISPLAY_METRIC_COLS = ["r_squared", "nrmse", "nse_pc"];
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const DISPLAY_METRIC_LABELS = {
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r_squared: "R²",
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nrmse: "nRMSE",
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nse_pc: "NSE_PC",
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};
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function mv(m, c) {
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return c === "nse_pc" ? (m.nse_pc ?? m.nse) : m[c];
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}
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function fmtMetric(col, v) {
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if (v == null || typeof v !== "number") return "—";
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if (col === "r_squared" || col === "nse_pc") return v.toFixed(3);
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if (col === "nrmse") return v.toFixed(4);
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return fmt(v);
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}
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let siteName = "innsbruck", season = "2024";
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let availableSiteSeasons = {};
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const urlParams = new URLSearchParams(location.search);
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@ -76,68 +87,22 @@
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return `${heading}<p class="empty">No data</p>`;
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}
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const keys = Object.keys(obj).sort();
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let head = `<tr><th>Scenario</th>${METRIC_COLS.map((c) => `<th>${c}</th>`).join("")}</tr>`;
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let head = `<tr><th>Scenario</th>${DISPLAY_METRIC_COLS.map((c) => `<th>${DISPLAY_METRIC_LABELS[c]}</th>`).join("")}</tr>`;
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const rows = keys.map((k) => {
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const m = obj[k] || {};
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return `<tr><td>${k}</td>${METRIC_COLS.map((c) => `<td class="num">${fmt(mv(m, c))}</td>`).join("")}</tr>`;
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return `<tr><td>${k}</td>${DISPLAY_METRIC_COLS.map((c) => `<td class="num">${fmtMetric(c, mv(m, c))}</td>`).join("")}</tr>`;
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}).join("");
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return `${heading}<table>${head}${rows}</table>`;
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}
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/** Pair BtI keys (`aggressive_sigma20`) with ItB (`aggressive_sigma20_itb`). */
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function btiItbPairs(obj) {
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if (!obj || typeof obj !== "object") return [];
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const pairs = [];
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for (const itbKey of Object.keys(obj)) {
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if (!itbKey.endsWith("_itb")) continue;
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const btiKey = itbKey.slice(0, -"_itb".length);
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const bti = obj[btiKey];
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const itb = obj[itbKey];
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if (!bti || !itb) continue;
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pairs.push({ label: btiKey, bti, itb });
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}
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pairs.sort((a, b) => a.label.localeCompare(b.label));
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return pairs;
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}
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function fmtDelta(btiM, itbM, col) {
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const a = mv(btiM, col);
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const b = mv(itbM, col);
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if (a == null || b == null || typeof a !== "number" || typeof b !== "number") return "—";
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return fmt(b - a);
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}
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function btiItbCompareSection(title, obj, blurb, metricCols = METRIC_COLS) {
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const pairs = btiItbPairs(obj);
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if (!pairs.length) return "";
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const subHead = metricCols.map(
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() => `<th class="num">BtI</th><th class="num">ItB</th><th class="num">Δ</th>`
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).join("");
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const head =
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`<tr><th rowspan="2">Scenario</th>${metricCols.map((c) => `<th colspan="3">${c}</th>`).join("")}</tr>` +
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`<tr>${subHead}</tr>`;
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const rows = pairs
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.map((p) => {
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const cells = metricCols.map((c) => {
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const vB = fmt(mv(p.bti, c));
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const vI = fmt(mv(p.itb, c));
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const d = fmtDelta(p.bti, p.itb, c);
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return `<td class="num">${vB}</td><td class="num">${vI}</td><td class="num">${d}</td>`;
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}).join("");
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return `<tr><td>${p.label}</td>${cells}</tr>`;
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})
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.join("");
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const heading = title ? `<h2>${title}</h2>` : "";
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const note = blurb ? `<p class="compare-note">${blurb}</p>` : "";
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return `${heading}${note}<table>${head}${rows}</table>`;
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}
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function baselineSection(b) {
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if (!b || typeof b !== "object") return "";
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const rows = [];
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const pushRow = (label, m) => {
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if (!m || typeof m !== "object") return;
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rows.push(`<tr><td>${label}</td>${METRIC_COLS.map((c) => `<td class="num">${fmt(mv(m, c))}</td>`).join("")}</tr>`);
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rows.push(
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`<tr><td>${label}</td>${DISPLAY_METRIC_COLS.map((c) => `<td class="num">${fmtMetric(c, mv(m, c))}</td>`).join("")}</tr>`
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);
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};
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pushRow("S2 GCC (all acquisitions)", b.s2);
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for (const strat of ["aggressive", "nonaggressive"]) {
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@ -146,7 +111,7 @@
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pushRow(`S2 Whittaker λ=400 (${strat})`, b.s2_whittaker_lambda400?.[strat]);
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}
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if (!rows.length) return "";
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const head = `<tr><th>Baseline</th>${METRIC_COLS.map((c) => `<th>${c}</th>`).join("")}</tr>`;
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const head = `<tr><th>Baseline</th>${DISPLAY_METRIC_COLS.map((c) => `<th>${DISPLAY_METRIC_LABELS[c]}</th>`).join("")}</tr>`;
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return `<h2>Baselines (temporal vs PhenoCam)</h2><table>${head}${rows.join("")}</table>`;
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}
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@ -166,6 +131,8 @@
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<li><b>ItB</b> (<i>Index-then-Bands</i>): compute GCC from S2 and S3 first, then fuse the GCC rasters.</li>
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<li>Scenarios combine a cloud-screening <b>strategy</b> (<code>aggressive</code> / <code>nonaggressive</code>)
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and an EFAST fusion <b>σ</b> (<code>sigma20</code> / <code>sigma30</code>).</li>
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<li>Tables list <b>R²</b> (fit vs PhenoCam), <b>nRMSE</b> (RMSE normalised by PhenoCam variability),
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and <b>NSE_PC</b> (Nash–Sutcliffe using PhenoCam as reference). Pearson <i>r</i>, RMSE, MAE, and sample counts stay in <code>metrics.json</code>.</li>
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</ul>
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</div>`;
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if (data.phenocam_stats) {
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@ -181,9 +148,6 @@
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html += `<p class="section-note">Reference GCC series <i>before</i> any fusion: raw S2 (all dates and cloud-screened per strategy), S3 composite per strategy, and a Whittaker-smoothed S2 series (λ=400). Useful to see what fusion has to beat.</p>`;
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html += baselineHtml.replace(/^<h2>[^<]*<\/h2>/, "");
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}
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html += `<h2>Temporal: BtI vs ItB (paired)</h2>`;
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html += `<p class="section-note">Per scenario (same strategy + σ), BtI and ItB side-by-side with <b>Δ = ItB − BtI</b>. Positive Δ is better for Pearson r, R², and NSE; negative Δ is better for RMSE, MAE, and NRMSE.</p>`;
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html += btiItbCompareSection("", data.temporal, "") || `<p class="empty">No paired scenarios</p>`;
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html += `<h2>Temporal (vs PhenoCam)</h2>`;
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html += `<p class="section-note">Per-scenario agreement between the fusion GCC <b>timeseries</b> at the site 3×3 window and the PhenoCam GCC timeseries, across all matched dates. Scenarios ending in <code>_itb</code> are Index-then-Bands; the others are Bands-then-Index.</p>`;
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html += tableSection("", data.temporal);
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