jmasselink

//VERSION=3
const colorRamp = [[0, 0x000000], [1, 0xFFFFFF]];  // Color ramp for water detection (black for water)

let viz = new ColorRampVisualizer(colorRamp);

function setup() {
  return {
    input: ["B02", "B03", "B04", "B08", "B11", "dataMask"],
    output: [
      { id: "default", bands: 4 },  // RGBA output for combined visualization

jmasselink

jmasselink

# derived from a question to ChatGPT
# How could I use Python code to derive a CSV with 4 fields: longitude, latitude, date, and confidence level from a raster which has the following encoding/syntax?:
# Each pixel (alert) encodes the date of disturbance and confidence level in one integer value. The leading integer of the decimal representation is 2 for a low-confidence alert, 3 for a high-confidence alert, and 4 for an alert detected by multiple alert systems, followed by the number of days since December 31, 2014. 0 is the no-data value. For example:
# 20001 is a low confidence alert on January 1st, 2015
# 30055 is a high confidence alert on February 24, 2015
# 21847 is a low confidence alert on January 21, 2020
# 41847 is a highest confidence alert (detected by multiple alert systems) on January 21, 2020. Alert date represents the earliest detection
# 0 represents no alert

import rasterio

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license: mit

jmasselink

license: mit