对于Cerrado（巴西的一个地区）的分类，我选择使用Google Earth Engine进行监督分类。运行脚本时，控制台中会弹出一条错误消息：＆＃34;分类：图层错误：属性＆＃39;农业＆＃39;特征＆＃39; 0_0＆＃39;不见了。＆＃34;对于我的其他课程（城市和森林）来说，这似乎不是问题，而我也是如此。
城市，农业和森林是使用多边形工具绘制的多边形。 landsat是我想要分类的形象。戈亚斯是我所关注的地区。
此功能的含义是什么＆＃39; 0_0＆＃39;？
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goias = /* color: #ffc82d */ee.Geometry.Polygon(
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city = /* color: #00ffff */ee.Geometry.MultiPolygon(
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image = ee.ImageCollection("LANDSAT/LC8_SR"),
agriculture = /* color: #d63000 */ee.Geometry.MultiPolygon(
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var bands = ['B2','B3','B4','B5','B6','B7'];
var cloudy_water_landsat = ee.ImageCollection('LANDSAT/LC8_SR')
.filterBounds(goias)
.filterDate('2016-06-01', '2016-07-10')
.median()
.set('SENSOR_ID', 'OLI_TIRS');
var datamask = cloudy_water_landsat.select('cfmask_conf');
var mask = datamask.eq(1);
var water_landsat = cloudy_water_landsat.updateMask(mask);
var datawater = water_landsat.select('cfmask');
var not_water = datawater.eq(1);
var water = not_water.not();
var landsat = water_landsat.updateMask(water);
var RGB = {
bands: ['B4', 'B3', 'B2'],
min: -2000,
max: 2000,
gamma: [1,1,1],
};
Map.addLayer(landsat, RGB, 'RGB');
var agriculture = ee.Feature (landsat.clip(agriculture));
var city = ee.Feature (landsat.clip(city));
var forest = ee.Feature (landsat.clip(forest));
var polygons = ee.FeatureCollection([agriculture,city,forest]);
var training = landsat.sampleRegions(
{
collection: polygons,
properties: ['agriculture','city', 'forest'],
scale: 500
});
var classifier = ee.Classifier.svm(
{
kernelType: 'RBF',
gamma: 0.1,
cost: 10
});
var trained = classifier.train(training, ('agriculture','city', 'forest'), bands);
var classified = landsat.classify(trained);
Map.addLayer(classified,{},'classified');
Map.setCenter(-49.515, -15.824);
答案 0 :(得分：0)
传递给classifier.train()的第二个参数是带有class属性的band的名称。这应该是一个整数。您永远不会将类带添加到landsat像素，因此它在功能集合的第一个功能（ID为0_0的功能）上失败。 JavaScript没有Python之类的元组（或者您更习惯使用的语言），因此代码('agriculture','city', 'forest')解析为parens中的最后一个元素（在本例中为forest）。所以你告诉GEE你的班级乐队是forest，当它找不到forest乐队时它会抛出一个错误。如果使用print(training.first());
您应该做的是在不同多边形下的像素上添加一个条带，例如landType，其值为0,1或2，具体取决于它是农业，城市还是森林