CLMS HR-S&I: Wet / Dry Snow - Snow state classification visualisation script
//VERSION=3
function setup() {
return {
input: ["SSC", "dataMask"],
output: { bands: 4, sampleType: "AUTO" },
};
}
const map = [
[110, 0xff4dff], //110 - Wet Snow
[115, 0xffffff], //115 - Dry Snow
[120, 0xe6e64d], //120 - Snow free or patchy snow
[200, 0x000000], //200 - Radar Shadow
[205, 0xcccccc], //205 - Cloud or Cloud Shadow
[210, 0x4d4dff], //210 - Water
[220, 0x00a600], //220 - Forest
[230, 0xf2a64d], //230 - Urban Areas
[255, 0xff0000], //255 - NODATA
];
const visualizer = new ColorMapVisualizer(map);
function evaluatePixel(sample) {
let rgbVis = visualizer.process(sample.SSC);
return rgbVis.concat(sample.dataMask);
}General description of the script
This script visualises the Wet / Dry Snow - Snow state classification (WDS SSC)
Table 1: Classification classes and colouring scheme.
| Value | Color | Label |
|---|---|---|
| 1 | 110 - Wet snow | |
| 2 | 115 - Dry snow | |
| 3 | 120 - Snow free or patchy snow | |
| 4 | 200 - Radar shadow / layover / foreshortening | |
| 5 | 205 - Cloud or cloud shadow | |
| 6 | 210 - Water | |
| 7 | 220 - Forest | |
| 8 | 230 - Urban area | |
| 9 | 255 - No data |
Description of representative images
1st April 2021, Bormio, IT
