Business
Jobs
  • About Us
  • Solutions
    • Job Postings
      Post your job and receive qualified candidates in 48h.
    • Candidate Assessments
      500+ technical and psychological tests, plus anti-fraud.
    • Headhunting
      Tailor-made executive search from start to finish.
    • Payroll + EOR
      Payroll dispersal and EOR across 15+ LATAM countries.
  • Pricing
  • Jobs

0

190
Views
Google Engine: Get pixel sum by feature collection properties

I try to get the sum of my pixel information (carbon content by pixel) and pixel number of an image in my feature collections property BIOTYP8. Output should be carbon content and area of different codes of the property BIOTYP8. Example: 0836 is Birch forest and has total X pixels stored and XXXX total sum of carbon. I tried to rasterize the feature collection, add the bands to the carbon image, but the analysis won't work. Can anyone help or has a better approach?

Map.addLayer(JRC18C,vizParamsC,'JRC18 carbon content');

Map.addLayer(ESA18C,vizParamsC,'ESA18 carbon content');

Map.addLayer(CIRB_f,{},'Forest Biotopes');


var CIRB_fn=CIRB_f.map(function(feature){
    var num = ee.Number.parse(feature.get('BIOTYP8'));
    return feature.set('BIOTYP8', num);
  });
  
function getCols(tableMetadata) {
  print(tableMetadata.columns);
}


///Check on pixel in total covered by Biotopes

var Biot_pixelDic_ESAC = ESA18C.reduceRegion({
  reducer: ee.Reducer.count(),
  geometry: CIRB_f,
  scale: 100,
  maxPixels: 1e9
});

print('Area of ESA forest in CIRB', Biot_pixelDic_ESAC);

var Biot_pixelDic_JRCC = JRC18C.reduceRegion({
  reducer: ee.Reducer.count(),
  geometry: CIRB_f,
  scale: 100,
  maxPixels: 1e9
});
print('Area of JRC forest in CIRB', Biot_pixelDic_JRCC);

//Total stored carbon in biotopes classes
var Biot_sum_ESAC = ESA18C.reduceRegion({
  reducer: ee.Reducer.sum(),
  geometry: CIRB_f,
  scale: 100,
  maxPixels: 1e9
});

print('Sum of ESA forest carbon in CIRB', Biot_sum_ESAC);

var Biot_sum_JRCC = JRC18C.reduceRegion({
  reducer: ee.Reducer.sum(),
  geometry: CIRB_f,
  scale: 100,
  maxPixels: 1e9
});
print('Area of JRC forest carbon in CIRB', Biot_sum_JRCC);

/////////////////// Area by class

//transform vector to image

var CIRB_fi = CIRB_fn.filter(ee.Filter.notNull(['BIOTYP8']))
  .reduceToImage({
    properties: ['BIOTYP8'],
    reducer: ee.Reducer.first(),
});

      
Map.setCenter(13.5145, 52.924, 12);
Map.addLayer(CIRB_fi, {},'CIRB forest image');


//merge image bands

var ESA18C_bioclass= CIRB_fi.addBands(ESA18C);

  
Map.addLayer(ESA18C_bioclass,{},'ESA18C + Biotopes');

var  DIcBiotopes_ESAC = ESA18C_bioclass.reduceRegion({
  reducer: ee.Reducer.sum().group({
  groupField: 1,
    groupName: 'BIOTYP8',
  }),
  geometry: CIRB_f.geometry,
  scale: 100,
  crs:3035,
  maxPixels: 1e9
});


print('Biotypes of ESA forest', Biotopes_ESAC);

Which receives this error for the var DIcBiotopes_ESAC line:

Invalid GeoJSON geometry: undefined 
about 4 years ago · Juan Pablo Isaza
Answer question
Find remote jobs

Discover the new way to find a job!

Top jobs
Top job categories
Business
Post vacancy Pricing Sales
Legal
Terms and conditions Privacy policy
© 2026 PeakU Inc. All Rights Reserved.
Andres GPT
Show me some job opportunities
There's an error!