I need to download Carbon monoxide concentrations daily data provided by sentinel 5p but the data consists of gaps for my region of interest
var dataset1 = ee.ImageCollection("COPERNICUS/S5P/NRTI/L3_CO")
.filterDate('2021-03-01', '2021-03-31')
.filterBounds(roi)
.select("CO_column_number_density")
print (dataset1)
var img = dataset1.filterMetadata('TIME_REFERENCE_DAYS_SINCE_1950', 'equals',25992 )
.mean();
Map.addLayer(img)
This is the code used. I am trying to average the data available for a single day but there are gaps. if the data has to be averaged over more than one day, how to do it? how to create a loop that iterates over the dates and computes the average?
var batch = require('users/fitoprincipe/geetools:batch')
print("batch.help", batch.help)
var Sentinel_CO_Dataset = ee.ImageCollection("COPERNICUS/S5P/NRTI/L3_CO")
.filterDate('2021-03-01', '2021-03-10')
.filterBounds(roi)
.select("CO_column_number_density")
print (Sentinel_CO_Dataset)
var count = Sentinel_CO_Dataset.size()
print("Collection count", count)
var all_Sentinel_CO_tiles = Sentinel_CO_Dataset.map(function(image) { return image.clip(roi).reproject('EPSG:4326', null, 1113.2); });
var check = ee.Image(all_Sentinel_CO_tiles.first());
var Sentinel_CO_Palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718',
'74A901', '66A000', '529400', '3E8601', '207401', '056201',
'004C00', '023B01', '012E01', '011D01', '011301'];
Map.addLayer(check, {min:0.02, max: 0.05, palette: Sentinel_CO_Palette}, 'Sentinel_CO_Palette_Check');
var colList = all_Sentinel_CO_tiles.toList(all_Sentinel_CO_tiles.size());
var n = colList.size().getInfo();
for (var i = 0; i < n; i++) {
var img = ee.Image(colList.get(i));
var id = img.id().getInfo();
var listOfImages = all_Sentinel_CO_tiles.toList(all_Sentinel_CO_tiles.size());
var Tile = listOfImages.get(i);
var allRasters = ee.ImageCollection.fromImages([Tile]);
batch.Download.ImageCollection.toDrive(allRasters, "Sentinel_CO",
{name: 'MONOXIDE_'+id,
scale: 1113.2,
region: roi
})
}