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Draw each far-zoom fire as a marker-sized heat spot
The heat raster was 2048 px wide with a 3 px blur, so every fire spread over ~200 km and the far-zoom map read as clouds next to the markers. Double the grid to ~10 km per pixel and blur by one pixel: a lone fire is now a spot about as wide as its marker at the 3,000 km hand-off.
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@@ -4,6 +4,6 @@
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log-scale minimum-FRP slider whose track is the ramp, an All / Nominal+ /
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High confidence switch and an "N of M shown" counter to the layer row. Far
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zoom shows a Snap Map–style heatmap in the same colors instead of squares,
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empty where nothing burns. The filter applies once before rendering, so markers, cards, the heatmap, context and the top-fires query agree; share
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one marker-sized spot per fire, empty where nothing burns. The filter applies once before rendering, so markers, cards, the heatmap, context and the top-fires query agree; share
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links keep it (`w` token: `f`, `c`), and `get_active_fires` takes matching
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`min_frp_mw` and `confidence` arguments. Default 0 MW / All (gekh, #1426).
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@@ -2185,9 +2185,10 @@ accents read that ramp; confidence and brightness do not affect the color.
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At far zoom (camera above ~3,000 km) the layer drapes a Snap Map–style
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heatmap instead of individual markers: the shown detections are binned on a
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global 2048 × 1024 grid, each weighted by its FRP in megawatts (so heat is
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global 4096 × 2048 grid (≈10 km per pixel), each weighted by its FRP in megawatts (so heat is
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radiated power, and raising the FRP slider does not dim areas where strong fires
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burn), Gaussian-blurred,
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burn), Gaussian-blurred by one pixel so each fire stays a spot about the size
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of its marker,
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normalized on a log scale against the 99.5th percentile and mapped through the
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same hues, from a bright red edge through orange and gold to a pale
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white-hot core. The edge starts more than half opaque, so regions far below
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@@ -1,6 +1,8 @@
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import test from 'node:test';
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import assert from 'node:assert/strict';
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import { createHeatImagery } from './heatImagery.js';
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import { buildHeatRaster } from '../../data/firmsHeatRaster.js';
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import { HEAT_RASTER } from './policy.js';
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function harness() {
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const layers = [];
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@@ -85,3 +87,26 @@ test('destroy removes the layer', () => {
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h.imagery.destroy();
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assert.equal(h.layers.length, 0);
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});
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test('the shipped raster paints a lone weak fire as a marker-sized spot', () => {
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// A hot cluster elsewhere sets the scale, as Africa does on real data.
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const fires = [{ lat: 0, lon: 0, frp: 5 }];
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for (let i = 0; i < 40; i++) {
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fires.push({ lat: -10 + (i % 5) * 0.1, lon: 25 + i * 0.05, frp: 300 });
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}
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const r = buildHeatRaster(fires, HEAT_RASTER);
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const y = Math.floor((90 / 180) * r.height);
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const painted = [];
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for (let x = 0; x < r.width; x++) {
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const lon = ((x + 0.5) / r.width) * 360 - 180;
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if (Math.abs(lon) < 5 && r.rgba[(y * r.width + x) * 4 + 3] > 0) {
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painted.push(x);
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}
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}
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const kmPerPx = 40075 / r.width;
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assert.ok(painted.length > 0, 'the weak fire still shows');
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assert.ok(
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painted.length * kmPerPx <= 80,
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`spot ${Math.round(painted.length * kmPerPx)} km wide`,
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);
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});
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@@ -49,14 +49,17 @@ export const LOD_LEVELS = [
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];
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/**
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* Global heat raster for the `heat` bands: ≈0.18° per pixel, Gaussian σ in
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* pixels. Built once per data refresh or filter change, never per camera move.
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* Global heat raster for the `heat` bands: ≈0.09° (≈10 km) per pixel and a
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* one-pixel Gaussian σ, so a lone fire is a spot about as wide as its marker
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* at the 3,000 km hand-off and neighbours merge only when they really touch
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* (2048 px with σ 3 smeared each fire over ~200 km). Built once per data
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* refresh or filter change, never per camera move.
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*/
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export const HEAT_RASTER = Object.freeze({
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width: 2048,
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height: 1024,
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sigmaPx: 3,
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width: 4096,
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height: 2048,
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sigmaPx: 1,
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});
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/**
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