// Sentinel-2 image collection for July 2021 intersecting a point of interest.// Reflectance, cloud probability, and scene classification bands are selected.varcol=ee.ImageCollection('COPERNICUS/S2_SR').filterDate('2021-07-01','2021-08-01').filterBounds(ee.Geometry.Point(-122.373,37.448)).select('B.*|MSK_CLDPRB|SCL');// Visualization parameters for reflectance RGB.varvisRefl={bands:['B11','B8','B3'],min:0,max:4000};Map.setCenter(-122.373,37.448,9);Map.addLayer(col,visRefl,'Collection reference',false);// Reduce the collection to a single image using a variety of methods.varmean=col.mean();Map.addLayer(mean,visRefl,'Mean (B11, B8, B3)');varmedian=col.median();Map.addLayer(median,visRefl,'Median (B11, B8, B3)');varmin=col.min();Map.addLayer(min,visRefl,'Min (B11, B8, B3)');varmax=col.max();Map.addLayer(max,visRefl,'Max (B11, B8, B3)');varsum=col.sum();Map.addLayer(sum,{bands:['MSK_CLDPRB'],min:0,max:500},'Sum (MSK_CLDPRB)');varproduct=col.product();Map.addLayer(product,{bands:['MSK_CLDPRB'],min:0,max:1e10},'Product (MSK_CLDPRB)');// ee.ImageCollection.mode returns the most common value. If multiple mode// values occur, the minimum mode value is returned.varmode=col.mode();Map.addLayer(mode,{bands:['SCL'],min:1,max:11},'Mode (pixel class)');// ee.ImageCollection.count returns the frequency of valid observations. Here,// image pixels are masked based on cloud probability to add valid observation// variability to the collection. Note that pixels with no valid observations// are masked out of the returned image.varnotCloudCol=col.map(function(img){returnimg.updateMask(img.select('MSK_CLDPRB').lte(10));});varcount=notCloudCol.count();Map.addLayer(count,{min:1,max:5},'Count (not cloud observations)');// ee.ImageCollection.mosaic composites images according to their position in// the collection (priority is last to first) and pixel mask status, where// invalid (mask value 0) pixels are filled by preceding valid (mask value >0)// pixels.varmosaic=notCloudCol.mosaic();Map.addLayer(mosaic,visRefl,'Mosaic (B11, B8, B3)');

# Sentinel-2 image collection for July 2021 intersecting a point of interest.# Reflectance, cloud probability, and scene classification bands are selected.col=(ee.ImageCollection('COPERNICUS/S2_SR').filterDate('2021-07-01','2021-08-01').filterBounds(ee.Geometry.Point(-122.373,37.448)).select('B.*|MSK_CLDPRB|SCL'))# Visualization parameters for reflectance RGB.vis_refl={'bands':['B11','B8','B3'],'min':0,'max':4000}m=geemap.Map()m.set_center(-122.373,37.448,9)m.add_layer(col,vis_refl,'Collection reference',False)# Reduce the collection to a single image using a variety of methods.mean=col.mean()m.add_layer(mean,vis_refl,'Mean (B11, B8, B3)')median=col.median()m.add_layer(median,vis_refl,'Median (B11, B8, B3)')min=col.min()m.add_layer(min,vis_refl,'Min (B11, B8, B3)')max=col.max()m.add_layer(max,vis_refl,'Max (B11, B8, B3)')sum=col.sum()m.add_layer(sum,{'bands':['MSK_CLDPRB'],'min':0,'max':500},'Sum (MSK_CLDPRB)')product=col.product()m.add_layer(product,{'bands':['MSK_CLDPRB'],'min':0,'max':1e10},'Product (MSK_CLDPRB)',)# ee.ImageCollection.mode returns the most common value. If multiple mode# values occur, the minimum mode value is returned.mode=col.mode()m.add_layer(mode,{'bands':['SCL'],'min':1,'max':11},'Mode (pixel class)')# ee.ImageCollection.count returns the frequency of valid observations. Here,# image pixels are masked based on cloud probability to add valid observation# variability to the collection. Note that pixels with no valid observations# are masked out of the returned image.not_cloud_col=col.map(lambdaimg:img.updateMask(img.select('MSK_CLDPRB').lte(10)))count=not_cloud_col.count()m.add_layer(count,{'min':1,'max':5},'Count (not cloud observations)')# ee.ImageCollection.mosaic composites images according to their position in# the collection (priority is last to first) and pixel mask status, where# invalid (mask value 0) pixels are filled by preceding valid (mask value >0)# pixels.mosaic=not_cloud_col.mosaic()m.add_layer(mosaic,vis_refl,'Mosaic (B11, B8, B3)')m