A proof-of-principle Sentinel Hub Evalscript for detecting mowing events on the pixel level

evalscript_mowing.js

//VERSION=3

function setup() {
  return {
    input: ["B04", "B08", "CLP", "dataMask"],
    output: {bands: 2, sampleType: SampleType.INT8},
    mosaicking: "ORBIT"
  }
}

function evaluatePixel(samples, scenes)
{
  let dates = [];
  let values = [];

  for (let i = 0; i < samples.length; i++) {
    var sample = samples[i];
    var scene = scenes[i];

    // define variables
    let NDVI = index(sample.B08, sample.B04);
    let CLP = sample.CLP/255.0;
    let DM = sample.dataMask;

    // keep non-cloudy obs.
    if (CLP < CLP_THR && DM == 1) {
      dates.push(scene.date);
      values.push(NDVI);
    }
    
    var dataMask = 0;
    var mowing_events = [];
    if (dates.length > 0) {
      dataMask = 1;
      events = getMowingEvents(dates, values);
    }

    return [events.length, dataMask];
}
  
function getMowingEvents(dates, values)
{
    // 1. find peaks & valleys
    // 2. determine pixel-mowing candidates
    // 3. apply filtering
    // 4. ...
    // 5. profit
}