I have a script to download Sentinel-1 images from Google Earth Engine, which works perfectly over UK regions and other parts of Europe. However, when I try to run it for a region of Norway, the image returned is blurred. I think this is because within the ee.imagecollection some of the images have a different crs projection.
Hence, my question is how do I filter the images to remove images with the other crs? Here is an example of how it looks in Google Earth Engine:
Sentinel-1 image of area of Norway in Google Earth Engine
and here is how a print out of the image collection looks like in Google Earth Engine showing the two projections (see features 0 and 3 showing EPSG: 32632 and EPSG 32633):
Print out in Google Earth Engine of Norway image collection
My Google Earth Engine Script is included below. To replicate the problem replace the Norway geometry with a drawn polygon.
var year = 2021;
var region = 9;
var mth = 'October';
var mthno1 = 10;
var mthno2 = 11;
var endday1 = 18;
var endday2 = 18;
var geometry = ee.FeatureCollection("users/nfigbfr/Norway");
var s1c = ee.ImageCollection('COPERNICUS/S1_GRD')
.filterBounds(geometry)
.filterDate(year+'-'+mthno1+'-'+endday1,year+'-'+mthno2+'-'+endday2)
.filter(ee.Filter.eq('transmitterReceiverPolarisation', ['VV','VH']))
.filter(ee.Filter.eq('instrumentMode', 'IW'))
.map(function(image) {
var edge = image.lt(-30.0);
var maskedImage = image.mask().and(edge.not());
return image.updateMask(maskedImage);
});
print(s1c)
var img = s1c.mean();
print(img)
var img = img.addBands(img.select('VV').subtract(img.select('VH')).rename('Ratio'));
var img = img.select(['VV','VH','Ratio']).toFloat();
print(img);
var img_display = img.select(['VV','VH','Ratio']).clip(geometry);
Map.centerObject(geometry);
Map.addLayer(img_display, {min: -25, max: 0});
Export.image.toDrive({
image: img,
description: 'Norway_mean_'+mth+year,
folder: 'Sentinel_1',
crs: 'EPSG:32632',
scale: 10,
maxPixels: 1e13,
region: geometry
});