如何裁剪图像以及如何在选定的城市边界上拍摄多边形元素？

问题描述

我正在尝试在德里位置使用Forest算法对Landsat8图像（LANDSAT / LC08 / C01 / T1）进行监督分类，并且需要在城市边界上应用不同的元素。这是我的代码：

var landsatCollection = ee.ImageCollection('LANDSAT/LC08/C01/T1')
    .filterBounds(roi)
    .filterDate('2020-03-01','2020-08-31')
    .sort('CLOUD_COVER');
var composite = ee.Algorithms.Landsat.simpleComposite({
  collection: landsatCollection,asFloat: true
});
Map.addLayer(composite,{bands: ['B4','B3','B2'],max: 0.5,gamma: 2},'L8 Image',false);
var newfc = urban.merge(water).merge(others);
print(newfc,'newfc')
//tried clipping the image but not working.
var boundary = composite.clip(box);
Map.addLayer(boundary,min:0,max:3000},'Clip');
var bands = ['B2','B4','B5','B6','B7'];
var training = composite.select(bands).sampleRegions({
  collection: newfc,properties: ['landcover'],scale: 30
});
var classifier = ee.Classifier.randomForest().train({
  features: training,classProperty: 'landcover',inputProperties: bands
});
var classified = composite.select(bands).classify(classifier);
var palette = [
  'D3D3D3','0000FF','008000' 
];
Map.setCenter(-96.0171,29.6803);
Map.addLayer(classified,{min: 0,max: 2,palette: palette},'Land Use Classification');
print('RF error matrix: ',classifier.confusionMatrix());
print('RF accuracy: ',classifier.confusionMatrix().accuracy());```
I have taken three classes urban,water and others but need help in clipping the image and in covering the city boundary(polygon) of the selected roi for further processing?

解决方法

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