Fire Scar Mapping

Map burned areas using NBR differencing.

Pipeline (1 steps)

Map burned areas using NBR differencing.

Datasets

sentinel2-l2a

AOI modes

adminassetdraw

Simulated previewPaste the script in Earth Engine for live results

Outputs the script produces

map Map layers

map Area statistics

map Export GeoTIFF

map Histogram

Open Code Editor ↗

fire-scar.js · 9 lines

// Fire Scar Mapping (dNBR)
var pre = ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')
  .filterDate('2019-01-01','2019-06-30').filterBounds(aoi).median();
var post = ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')
  .filterDate(startDate, endDate).filterBounds(aoi).median();
var nbrPre = pre.normalizedDifference(['B8','B12']);
var nbrPost = post.normalizedDifference(['B8','B12']);
var dnbr = nbrPre.subtract(nbrPost).rename('dNBR');
var result = dnbr.clip(aoi);

fire-scar.py · 10 lines

# Fire Scar Mapping (dNBR)
import ee
pre = (ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')
  .filterDate('2019-01-01','2019-06-30').filterBounds(aoi).median())
post = (ee.ImageCollection('COPERNICUS/S2_SR_HARMONIZED')
  .filterDate(start_date, end_date).filterBounds(aoi).median())
nbr_pre = pre.normalizedDifference(['B8','B12'])
nbr_post = post.normalizedDifference(['B8','B12'])
dnbr = nbr_pre.subtract(nbr_post).rename('dNBR')
result = dnbr.clip(aoi)

#fire#burn#dNBR#disaster