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Calculating area by classified image in earth engine

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0

I want to calculate the area for each classified color in earth engine.
Here are my codes.

var image = ee.Image(ee.ImageCollection('LANDSAT/LC8_L1T_TOA')  

.filterBounds(roi)

.filterDate('2015-01-01', '2015-12-31')

.sort('CLOUD_COVER')

.first());

print(image);  





Map.addLayer(image, {bands: ['B4', 'B3', 'B2'], max: 0.3}, 'image_L8');





var clip = image.clip(table);  //cliping image to shapefile





var newclassified = 

vegetation.merge(water).merge(agri_bare).merge(builtarea);

print(newclassified);

var bands = ['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B10', 'B11'];





var training = clip.select(bands).sampleRegions({

collection: newclassified,

properties: ['landcover'],

scale: 30

}); 





var classifier = ee.Classifier.cart().train({

features: training,

classProperty: 'landcover',

inputProperties: bands

});



var classified = clip.select(bands).classify(classifier);  



Map.centerObject(newclassified, 11);

Map.addLayer(clip,

{bands: ['B4', 'B3', 'B2'], max: 0.4},

'Landsat image');



Map.addLayer(classified,

{min: 1, max: 4, palette: ['green', 'blue', 'yellow', 'red']},

'classification');

Now I want to calculate the area covered by green, blue, yellow and red palette.
What code I required to do that??

google-earth-engine area

share

asked 4 mins ago

Sourav KarmakarSourav Karmakar

84

add a comment | 

0

I want to calculate the area for each classified color in earth engine.
Here are my codes.

var image = ee.Image(ee.ImageCollection('LANDSAT/LC8_L1T_TOA')  

.filterBounds(roi)

.filterDate('2015-01-01', '2015-12-31')

.sort('CLOUD_COVER')

.first());

print(image);  





Map.addLayer(image, {bands: ['B4', 'B3', 'B2'], max: 0.3}, 'image_L8');





var clip = image.clip(table);  //cliping image to shapefile





var newclassified = 

vegetation.merge(water).merge(agri_bare).merge(builtarea);

print(newclassified);

var bands = ['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B10', 'B11'];





var training = clip.select(bands).sampleRegions({

collection: newclassified,

properties: ['landcover'],

scale: 30

}); 





var classifier = ee.Classifier.cart().train({

features: training,

classProperty: 'landcover',

inputProperties: bands

});



var classified = clip.select(bands).classify(classifier);  



Map.centerObject(newclassified, 11);

Map.addLayer(clip,

{bands: ['B4', 'B3', 'B2'], max: 0.4},

'Landsat image');



Map.addLayer(classified,

{min: 1, max: 4, palette: ['green', 'blue', 'yellow', 'red']},

'classification');

Now I want to calculate the area covered by green, blue, yellow and red palette.
What code I required to do that??

google-earth-engine area

share

asked 4 mins ago

Sourav KarmakarSourav Karmakar

84

add a comment | 

I want to calculate the area for each classified color in earth engine.
Here are my codes.

var image = ee.Image(ee.ImageCollection('LANDSAT/LC8_L1T_TOA')  

.filterBounds(roi)

.filterDate('2015-01-01', '2015-12-31')

.sort('CLOUD_COVER')

.first());

print(image);  





Map.addLayer(image, {bands: ['B4', 'B3', 'B2'], max: 0.3}, 'image_L8');





var clip = image.clip(table);  //cliping image to shapefile





var newclassified = 

vegetation.merge(water).merge(agri_bare).merge(builtarea);

print(newclassified);

var bands = ['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B10', 'B11'];





var training = clip.select(bands).sampleRegions({

collection: newclassified,

properties: ['landcover'],

scale: 30

}); 





var classifier = ee.Classifier.cart().train({

features: training,

classProperty: 'landcover',

inputProperties: bands

});



var classified = clip.select(bands).classify(classifier);  



Map.centerObject(newclassified, 11);

Map.addLayer(clip,

{bands: ['B4', 'B3', 'B2'], max: 0.4},

'Landsat image');



Map.addLayer(classified,

{min: 1, max: 4, palette: ['green', 'blue', 'yellow', 'red']},

'classification');

Now I want to calculate the area covered by green, blue, yellow and red palette.
What code I required to do that??

google-earth-engine area

share

asked 4 mins ago

Sourav KarmakarSourav Karmakar

84

var image = ee.Image(ee.ImageCollection('LANDSAT/LC8_L1T_TOA')  

.filterBounds(roi)

.filterDate('2015-01-01', '2015-12-31')

.sort('CLOUD_COVER')

.first());

print(image);  





Map.addLayer(image, {bands: ['B4', 'B3', 'B2'], max: 0.3}, 'image_L8');





var clip = image.clip(table);  //cliping image to shapefile





var newclassified = 

vegetation.merge(water).merge(agri_bare).merge(builtarea);

print(newclassified);

var bands = ['B2', 'B3', 'B4', 'B5', 'B6', 'B7', 'B10', 'B11'];





var training = clip.select(bands).sampleRegions({

collection: newclassified,

properties: ['landcover'],

scale: 30

}); 





var classifier = ee.Classifier.cart().train({

features: training,

classProperty: 'landcover',

inputProperties: bands

});



var classified = clip.select(bands).classify(classifier);  



Map.centerObject(newclassified, 11);

Map.addLayer(clip,

{bands: ['B4', 'B3', 'B2'], max: 0.4},

'Landsat image');



Map.addLayer(classified,

{min: 1, max: 4, palette: ['green', 'blue', 'yellow', 'red']},

'classification');

share

asked 4 mins ago

Sourav KarmakarSourav Karmakar

84

share

asked 4 mins ago

Sourav KarmakarSourav Karmakar

84

asked 4 mins ago

Sourav KarmakarSourav Karmakar

84

asked 4 mins ago

Sourav KarmakarSourav Karmakar

84