Temperature Trend Analysis (Mann-Kendall)

Detect significant temperature trends using Mann-Kendall test.

Pipeline (1 steps)

Detect significant temperature trends using Mann-Kendall test.

Datasets

modis-lst-8day

AOI modes

adminasset

Simulated previewPaste the script in Earth Engine for live results

Outputs the script produces

map Map layers

map Time series chart

map Export GeoTIFF

map Zonal stats table

Open Code Editor ↗

temp-trend-mk.js · 9 lines

// Temperature Trend (Mann-Kendall)
var collection = ee.ImageCollection('MODIS/061/MOD11A2')
  .filterDate(startDate, endDate).filterBounds(aoi)
  .select('LST_Day_1km').map(function(img){
    return img.multiply(0.02).subtract(273.15)
      .set('system:time_start', img.get('system:time_start'));
  });
var trend = collection.reduce(ee.Reducer.sensSlope());
var result = trend.select('slope').clip(aoi);

temp-trend-mk.py · 7 lines

# Temperature Trend (Mann-Kendall)
import ee
collection = (ee.ImageCollection('MODIS/061/MOD11A2')
  .filterDate(start_date, end_date).filterBounds(aoi)
  .select('LST_Day_1km'))
trend = collection.reduce(ee.Reducer.sensSlope())
result = trend.select('slope').clip(aoi)

#temperature#trend#Mann-Kendall#LST