Due script per scaricare serie tempo dei dati Sentinel 5P da Google Earth Engine dato un punto geografico
Tutti i dati
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var point = ee.Geometry.Point([11.097849, 43.793234]);var sentinel = ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_NO2');
var sentinelLST = sentinel.filterBounds(point)
.filterDate('2019-01-01', '2022-12-31')
.select('NO2_column_number_density');
sentinelLST = sentinelLST.map(function(img){
var date = img.get('system:time_start');
return img.multiply(100000).set('system_time_start', date);
});
var createTS = function(img){
var date = img.get('system_time_start');
var value = img.reduceRegion(ee.Reducer.mean(), point).get('NO2_column_number_density');
var ft = ee.Feature(null, {'system:time_start': date,
'date': ee.Date(date).format('Y/M/d'),
'value': value});
return ft;
};
var TS = sentinelLST.map(createTS);
var graph = ui.Chart.feature.byFeature(TS, 'system:time_start', 'value');
print(graph.setChartType("Sentinel 5P")
.setOptions({vAxis: {title: 'NO2'},
hAxis: {title: 'Date'}}));
Export.table.toDrive({collection: TS, selectors: 'date, value'});
.setOptions({vAxis: {title: 'NO2'},
hAxis: {title: 'Date'}}));
Export.table.toDrive({collection: TS, selectors: 'date, value'});
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Medie Giornaliere
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var collection = ee.ImageCollection('COPERNICUS/S5P/OFFL/L3_NO2')
.select('tropospheric_NO2_column_number_density')
var daily_data = ee.ImageCollection(ee.List.sequence(2019,2019).map(function(year){
var date1 = ee.Date.fromYMD(year,1,1)
var date2 = date1.advance(1,'year')
//Calculate the number of days per year
var doy = date2.difference(date1,'day')
var doyList = ee.List.sequence(1,doy)
//Daily image mean synthesis using doy
var day_imgs = doyList.map(function(doy){
doy = ee.Number(doy)
var temp_date = date1.advance(doy.subtract(1),"day")
var temp_img = collection.filterDate(temp_date,temp_date.advance(1,'day'))
return temp_img.mean().set("system:time_start",temp_date.millis())
})
return day_imgs
}).flatten())
Map.addLayer(daily_data)
var chart = ui.Chart.image.series({
imageCollection:daily_data,
region:roi,
reducer:ee.Reducer.mean(),
scale:1113.2,
// xProperty:,
})
print(chart)
.select('tropospheric_NO2_column_number_density')
var daily_data = ee.ImageCollection(ee.List.sequence(2019,2019).map(function(year){
var date1 = ee.Date.fromYMD(year,1,1)
var date2 = date1.advance(1,'year')
//Calculate the number of days per year
var doy = date2.difference(date1,'day')
var doyList = ee.List.sequence(1,doy)
//Daily image mean synthesis using doy
var day_imgs = doyList.map(function(doy){
doy = ee.Number(doy)
var temp_date = date1.advance(doy.subtract(1),"day")
var temp_img = collection.filterDate(temp_date,temp_date.advance(1,'day'))
return temp_img.mean().set("system:time_start",temp_date.millis())
})
return day_imgs
}).flatten())
Map.addLayer(daily_data)
var chart = ui.Chart.image.series({
imageCollection:daily_data,
region:roi,
reducer:ee.Reducer.mean(),
scale:1113.2,
// xProperty:,
})
print(chart)
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Medie Mensili
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var point = ee.Geometry.Point([11.097849, 43.793234]);
var dataset = ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_NO2')
.filterBounds(point)
.filterDate('2019-01-01', '2022-12-31')
.select('NO2_column_number_density');
var months = ee.List.sequence(1, 12);
var start_year = 2019;
var start_date = '2019-01-01';
var end_year = 2022;
var end_date = '2022-12-31';
var years = ee.List.sequence( start_year, end_year);
var byMonthYear = ee.FeatureCollection(
years.map(function (y) {
return months.map(function(m){
var w = dataset.filter(ee.Filter.calendarRange(y, y, 'year'))
.filter(ee.Filter.calendarRange(m, m, 'month'))
.mean();
var pointMean = w.reduceRegion({reducer:ee.Reducer.first(), geometry:point,scale:1000});
return ee.Feature(null).set("value",pointMean.get("NO2_column_number_density")).set("year",y).set("month",m);
})
}).flatten()
);
var dataset = ee.ImageCollection('COPERNICUS/S5P/NRTI/L3_NO2')
.filterBounds(point)
.filterDate('2019-01-01', '2022-12-31')
.select('NO2_column_number_density');
var months = ee.List.sequence(1, 12);
var start_year = 2019;
var start_date = '2019-01-01';
var end_year = 2022;
var end_date = '2022-12-31';
var years = ee.List.sequence( start_year, end_year);
var byMonthYear = ee.FeatureCollection(
years.map(function (y) {
return months.map(function(m){
var w = dataset.filter(ee.Filter.calendarRange(y, y, 'year'))
.filter(ee.Filter.calendarRange(m, m, 'month'))
.mean();
var pointMean = w.reduceRegion({reducer:ee.Reducer.first(), geometry:point,scale:1000});
return ee.Feature(null).set("value",pointMean.get("NO2_column_number_density")).set("year",y).set("month",m);
})
}).flatten()
);
print("feature collection",byMonthYear);
Export.table.toDrive({collection:byMonthYear,description:"O3_signa"})
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