- X-axis = Image labeled by xProperty (default: 'system:time_start').
- Y-axis = Reducer output.
- Series = Region labeled by seriesProperty (default: 'system:index').
Returns a chart.
Usage | Returns |
---|---|
ui.Chart.image.seriesByRegion(imageCollection, regions, reducer, band, scale, xProperty, seriesProperty) | ui.Chart |
Argument | Type | Details |
---|---|---|
imageCollection | ImageCollection | An ImageCollection with data to be included in the chart. |
regions | Feature|FeatureCollection|Geometry|List | The regions to reduce. |
reducer | Reducer | Reducer that generates the value for the y-axis. Must return a single value. |
band | Number|String, optional | The band name to reduce using the reducer. Defaults to the first band. |
scale | Number, optional | Scale to use with the reducer in meters. |
xProperty | String, optional | Property to be used as the label for each image on the x-axis. Defaults to 'system:time_start'. |
seriesProperty | String, optional | Property of features in opt_regions to be used for series labels. Defaults to 'system:index'. |
Examples
Code Editor (JavaScript)
// Define regions of pixels to reduce and chart a time series for. var regions = ee.FeatureCollection([ ee.Feature( ee.Geometry.BBox(-121.916, 37.130, -121.844, 37.076), {label: 'Forest'}), ee.Feature( ee.Geometry.BBox(-122.438, 37.765, -122.396, 37.800), {label: 'Urban'}) ]); // Define an image collection time series to chart, MODIS vegetation indices // in this case. var imgCol = ee.ImageCollection('MODIS/006/MOD13A1') .filter(ee.Filter.date('2015-01-01', '2020-01-01')) .select(['NDVI', 'EVI']); // Define the chart and print it to the console. var chart = ui.Chart.image.seriesByRegion({ imageCollection: imgCol, band: 'NDVI', regions: regions, reducer: ee.Reducer.mean(), scale: 500, seriesProperty: 'label', xProperty: 'system:time_start' }) .setOptions({ title: 'Average NDVI Value by Date', hAxis: {title: 'Date', titleTextStyle: {italic: false, bold: true}}, vAxis: { title: 'NDVI (x1e4)', titleTextStyle: {italic: false, bold: true} }, lineWidth: 5, colors: ['0f8755', '808080'], }); print(chart);