使用Google Earth引擎中的ui.Chart.image.series()创建用于时间序列像素分析的两个y轴

Question

我正在尝试创建一个单像素的GPP和LAI的时间序列图像图表。就考虑到值而言，该图看起来很好。我想为两个y轴都添加一个标题，并使两个y轴的最小值都为0。我想发布一张我目前拥有的图形的图片，但堆栈溢出不允许我这样做。

下面是脚本：

https://code.earthengine.google.com/18dedf6d2e871cfb9ce1869f15dd0d80

var chart = ui.Chart.image.series({
                                   imageCollection: modisVeg ,
                                   region: tree ,
                                   scale: 500   ,
                                   xProperty: 'system:index'
                                  })
                          .setSeriesNames(['GPP', 'LAI'])
                          .setOptions({
                            title: '[Time-series Analysis (2019)]: Tree Pixel' ,
                            series: {
                                     0: {
                                         targetAxisIndex: 0 ,
                                         type: "line" ,
                                         lineWidth: 5 ,
                                         pointSize: 0 ,
                                         color: "blue" 
                                        } ,
                                     1: {
                                         targetAxisIndex: 1 ,
                                         type: "line" ,
                                         lineWidth: 5 ,
                                         pointSize: 0 ,
                                         color: "green" 
                                        } ,
                                    } ,
                            hAxis: {
                                    title: 'Date' ,
                                    titleTextStyle: { italic: false, bold: true }
                                   } ,
                            vAxis: {
                                    0: {
                                        title: "GPP (g*C / m^2)" ,
                                        baseline: 0 ,
                                        titleTextStyle: { bold: true , color: 'blue' }
                                      } ,
                                    1: {
                                        title: "LAI" ,
                                        baseline: 0  ,
                                        titleTextStyle: { bold: true, color: 'green' }
                                      }
                                   } ,
                            curveType: 'function'
                          });

print(chart);

Answer 1

我通过更改一个字母来回答这个问题。使用vAxes！而不是vAxis！要设置每个y轴的最小值，只需在每个y轴中添加viewWindow：{min: 0}即可。

var chart = ui.Chart.image.series({
                                   imageCollection: modisVeg ,                          // Image collection we want to use for timeseries analysis
                                   region: tree ,                                       // Pixel we want to use
                                   scale: 500   ,                                       // [Spatial Resolution]: 500
                                   xProperty: 'system:time_start'                       // Date 
                                  })
                          .setSeriesNames(['GPP', 'LAI'])
                          .setOptions({
                            title: '[Time-series Analysis (2019) ]: Tree Pixel' ,
                            series: {
                                     0: {
                                         targetAxisIndex: 0 ,
                                         type: "line" ,
                                         lineWidth: 5 ,
                                         pointSize: 0 ,
                                         color: "blue"
                                        } ,
                                     1: {
                                         targetAxisIndex: 1 ,
                                         type: "line" ,
                                         lineWidth: 5 ,
                                         pointSize: 0 ,
                                         color: "green" 
                                        } ,
                                    } ,
                            hAxis: {
                                    title: 'Date' ,
                                    format: "MM" ,
                                    titleTextStyle: { italic: false, bold: true }
                                   } ,
                            vAxes: {
                                    0: {
                                        title: "GPP (g*C / m^2 / day)" ,
                                        baseline: 0 ,
                                        titleTextStyle: { bold: true , color: 'blue' } ,
                                        viewWindow: { min: 0 }
                                      } ,
                                    1: {
                                        title: "LAI" ,
                                        baseline: 0  ,
                                        titleTextStyle: { bold: true, color: 'green' } ,
                                        viewWindow: { min: 0 }
                                      }
                                  } ,
                            curveType: 'function'
                          });

print("[Time-series for GPP (g*C / m^2 / day) and LAI]: " , chart);