Google earth engine（GEE）——不同区域温度散点折线图绘制

// 先分别设置不同区域的颜色

var COLOR = {
  CITY: 'ff0000',
  DESERT: '0000ff',
  FOREST: '00ff00'
};
//之前我们觉得例子是点，这次我们选择面，同样是三个句型选择区域，分别给标签命名，最后作为你散点图上的图例
var city = ee.Feature(    // San Francisco.
    ee.Geometry.Rectangle(-122.45, 37.74, -122.4, 37.8),
    {label: 'City'});
var forest = ee.Feature(  // Tahoe National Forest.
    ee.Geometry.Rectangle(-121, 39.4, -120.8, 39.8),
    {label: 'Forest'});
var desert = ee.Feature(  // Black Rock Desert.
    ee.Geometry.Rectangle(-119.15, 40.8, -119, 41),
    {label: 'Desert'});
//将多个句型放在一个矢量集合当中，注意，这里是以名字放入一个列表当中
var westernRegions = new ee.FeatureCollection([city, forest, desert]);

// Get brightness temperature data for 1 year.
var landsat8Toa = ee.ImageCollection('LANDSAT/LC08/C01/T1_TOA');
var temps2013 = landsat8Toa.filterBounds(westernRegions)
    .filterDate('2015-12-25', '2016-12-25')
    .select('B10');
//B10	Thermal infrared 1, resampled from 100m to 30m	30 meters	10.60 - 11.19 µm

// 从B10波段的热红外波段值转化为温度值
temps2013 = temps2013.map(function(image) {
  return image.addBands(image.subtract(273.15).select([0], ['Temp']));
//返回值是一个运算玩的温度值，并且添加波段在第一个，并且命名为Temp
});
// 这个就是设置时间序列的影像了，区域加载进来，平求出平均值
var tempTimeSeries = ui.Chart.image.seriesByRegion({
  imageCollection: temps2013,
  regions: westernRegions,
  reducer: ee.Reducer.mean(),
  band: 'Temp',
  scale: 200,
  xProperty: 'system:time_start',
  seriesProperty: 'label'
});
//设置图标的类型
tempTimeSeries.setChartType('ScatterChart');
//设置图标类型的参数
tempTimeSeries.setOptions({
  title: 'Temperature over time in regions of the American West',
  vAxis: {
    title: 'Temperature (Celsius)'
  },
  lineWidth: 1,
  pointSize: 4,
  series: {
    0: {color: COLOR.CITY},
    1: {color: COLOR.FOREST},
    2: {color: COLOR.DESERT}
  }
});
//最后答应出来
print(tempTimeSeries);

Map.addLayer(desert, {color: COLOR.DESERT});
Map.addLayer(forest, {color: COLOR.FOREST});
Map.addLayer(city, {color: COLOR.CITY});
Map.setCenter(-121, 39.4, 6);