bye bye fusion tables

Store your training data as a feature collection

Step 1: export your training data. Store it as a feature collection (link)

var admin = ee.FeatureCollection("users/servirmekong/Vietnam/adm1Shp").filter(ee.Filter.eq("VARNAME_1","Nghe An"));

var img = ee.Image(ee.ImageCollection("projects/servir-mekong/yearlyComposites").filterDate("2016-01-01","2016-12-31").first());

Map.addLayer(img.clip(admin),{min:0,max:3000,bands:"red,green,blue"});

var TrainingData = urban.merge(paddyrice).merge(water).merge(crop).merge(forest);

var sample = img.sampleRegions({
collection: TrainingData,
scale:30,
properties:["land_class"],
geometries:true,
tileScale:16
});

Export.table.toAsset(sample);

ngheAnSurfRefl.jpeg

Step 2: import to the training data and use it in your machine learning algorithm. (link)

// import fusion table
var trainingData = ee.FeatureCollection("users/servirmekong/shapefiles/trainingDataTest");

var region = ee.FeatureCollection("users/servirmekong/Vietnam/adm1Shp").filter(ee.Filter.eq("VARNAME_1","Nghe An"));

var img = ee.Image(ee.ImageCollection("projects/servir-mekong/yearlyComposites").filterDate("2016-01-01","2016-12-31").first());

var classifier = ee.Classifier.randomForest(10,0).train(trainingData,"land_class",img.bandNames());

var classification = img.classify(classifier,'Mode').clip(region);

/*
0 forest
1 urban
2 rice
3 water
4 crop */
Map.addLayer(classification,{min:0,max:4,palette:"green,red,yellow,blue,orange"},"classified image")<span id="mce_SELREST_start" style="overflow:hidden;line-height:0;">&#65279;</span>
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One comment

  1. Dear thisearthsite
    Google Fusion Tables Turndown (after Dec. 3, 2019). Please help show me how to upload shapefiles as fusion tables and use them in the GEE.
    Many thanks,

    Like

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