Google Earth Engine: Supervised Classification fusion table error The 2019 Stack Overflow...

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Google Earth Engine: Supervised Classification fusion table error



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enter image description here



I am currently doing a supervised classification (just two classes for detection of large-scale solar plants) in GEE. When I am using training polygons drew and create as polygons everything works just fine but when I use the same training polygons as a fusion table (made from KML) I keep getting this message.
here is the sample of the code.



var trainingData = solarDenmark;


// Train Sample Data
// Select Bands
var bands = ['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B11', 'B12', 'nd', 'NDWI'];
var input = sentinelComposite.select(bands);
var classifierTraining = input.select(bands)
.sampleRegions({
collection: trainingData,
properties: ['solar'],
scale: 30
});



// Instantiate a CART and train it:
var classifier = ee.Classifier.randomForest(10).train({
features: classifierTraining,
classProperty: 'solar',
inputProperties: bands
});



//Classify the image
var classified = input.select(bands).classify(classifier).clip(region2);









share





























    0















    enter image description here



    I am currently doing a supervised classification (just two classes for detection of large-scale solar plants) in GEE. When I am using training polygons drew and create as polygons everything works just fine but when I use the same training polygons as a fusion table (made from KML) I keep getting this message.
    here is the sample of the code.



    var trainingData = solarDenmark;


    // Train Sample Data
    // Select Bands
    var bands = ['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B11', 'B12', 'nd', 'NDWI'];
    var input = sentinelComposite.select(bands);
    var classifierTraining = input.select(bands)
    .sampleRegions({
    collection: trainingData,
    properties: ['solar'],
    scale: 30
    });



    // Instantiate a CART and train it:
    var classifier = ee.Classifier.randomForest(10).train({
    features: classifierTraining,
    classProperty: 'solar',
    inputProperties: bands
    });



    //Classify the image
    var classified = input.select(bands).classify(classifier).clip(region2);









    share

























      0












      0








      0








      enter image description here



      I am currently doing a supervised classification (just two classes for detection of large-scale solar plants) in GEE. When I am using training polygons drew and create as polygons everything works just fine but when I use the same training polygons as a fusion table (made from KML) I keep getting this message.
      here is the sample of the code.



      var trainingData = solarDenmark;


      // Train Sample Data
      // Select Bands
      var bands = ['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B11', 'B12', 'nd', 'NDWI'];
      var input = sentinelComposite.select(bands);
      var classifierTraining = input.select(bands)
      .sampleRegions({
      collection: trainingData,
      properties: ['solar'],
      scale: 30
      });



      // Instantiate a CART and train it:
      var classifier = ee.Classifier.randomForest(10).train({
      features: classifierTraining,
      classProperty: 'solar',
      inputProperties: bands
      });



      //Classify the image
      var classified = input.select(bands).classify(classifier).clip(region2);









      share














      enter image description here



      I am currently doing a supervised classification (just two classes for detection of large-scale solar plants) in GEE. When I am using training polygons drew and create as polygons everything works just fine but when I use the same training polygons as a fusion table (made from KML) I keep getting this message.
      here is the sample of the code.



      var trainingData = solarDenmark;


      // Train Sample Data
      // Select Bands
      var bands = ['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B8', 'B11', 'B12', 'nd', 'NDWI'];
      var input = sentinelComposite.select(bands);
      var classifierTraining = input.select(bands)
      .sampleRegions({
      collection: trainingData,
      properties: ['solar'],
      scale: 30
      });



      // Instantiate a CART and train it:
      var classifier = ee.Classifier.randomForest(10).train({
      features: classifierTraining,
      classProperty: 'solar',
      inputProperties: bands
      });



      //Classify the image
      var classified = input.select(bands).classify(classifier).clip(region2);







      javascript google-earth-engine classification





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      asked 1 min ago









      MrakoplasMrakoplas

      113




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