update

code/end_to_end_gee/01-Earth-Engine-Basics/04c_Mosaics_and_Composites_(exercise)

@@ -14,4 +14,8 @@ var filtered = s2.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 30))
 var image2019 = filtered.median();
 Map.addLayer(image2019, rgbVis, '2019');
 
+// Exercise
+
+// Delete the 'geometry' variable
+// Add a point at your chosen location
 // Create a median composite for 2020 and load it to the map

code/end_to_end_gee/01-Earth-Engine-Basics/05c_Feature_Collections_(exercise)

@@ -1,9 +1,13 @@
-// Apply a filter to select only the 'Bangalore Urban' district
-// Display only the selected district
+var admin2 = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2');
+Map.addLayer(admin2, {color: 'grey'}, 'All Admin2 Polygons');
 
-// Hint: The district names are in ADM2_NAME property
+// Exercise 
+// Apply filters to select your chosen Admin2 region
+// Display the results in 'red' color
 
-var admin2 = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2');
-var karnataka = admin2.filter(ee.Filter.eq('ADM1_NAME', 'Karnataka'));
+// Hint1: Swith to the 'Inspector' tab and click on any
+// polygon to know its properties and their values
 
-var visParams = {'color': 'red'};
+// Hint2: Many countries do not have unique names for
+// Admin2 regions. Make sure to apply a filter to select
+// the Admin1 region that contains your chosen Admin2 region

code/end_to_end_gee/01-Earth-Engine-Basics/06c_Import_(exercise)

@@ -1,10 +1,13 @@
+var urban = ee.FeatureCollection('users/ujavalgandhi/e2e/ghs_urban_centers');
+print(urban.first());
+
+// Exercise
 // Apply a filter to select only large urban centers
 // in your country and display it on the map.
 
 // Select all urban centers in your country with
 // a population greater than 1000000
 
-// Use the property 'CTR_MN_NM' containing country names
-// Use the property 'P15' containing 2015 Population
-var urban = ee.FeatureCollection('users/ujavalgandhi/e2e/ghs_urban_centers');
-print(urban.first())
+// Hint1: Use the property 'CTR_MN_NM' containing country names
+// Hint2: Use the property 'P15' containing 2015 Population
+

code/end_to_end_gee/01-Earth-Engine-Basics/07c_Clipping_(exercise)

@@ -1,9 +1,6 @@
 var s2 = ee.ImageCollection('COPERNICUS/S2_HARMONIZED');
 var urban = ee.FeatureCollection('users/ujavalgandhi/e2e/ghs_urban_centers');
 
-// Change the filter to your home city or any urban area of your choice
-// Find the name of the urban centre
-// by adding the layer to the map and using Inspector.
 var filtered = urban.filter(ee.Filter.eq('UC_NM_MN', 'Bengaluru'));
 
 var geometry = filtered.geometry();
@@ -23,3 +20,8 @@ var clipped = image.clip(geometry);
 
 Map.addLayer(clipped, rgbVis, 'Clipped');
 
+// Exercise
+// Change the filter to your home city or any urban area of your choice
+
+// Hint: Find the name of the urban centre by adding the 
+// 'urban' layer to the map and using Inspector.

code/end_to_end_gee/01-Earth-Engine-Basics/08b_Export_(complete)

@@ -22,6 +22,7 @@ Map.addLayer(clipped, rgbVis, 'Clipped');
 
 var exportImage = clipped.select('B.*');
 
+// Export raw image with original pixel values
 Export.image.toDrive({
     image: exportImage,
     description: 'Bangalore_Composite_Raw',
@@ -32,14 +33,14 @@ Export.image.toDrive({
     maxPixels: 1e9
 });
 
+// Export visualized image with RGB
+
 // Rather than exporting raw bands, we can apply a rendered image
 // visualize() function allows you to apply the same parameters 
 // that are used in earth engine which exports a 3-band RGB image
-print(clipped);
+
+// Note: Visualized images are not suitable for analysis
 var visualized = clipped.visualize(rgbVis);
-print(visualized);
-// Now the 'visualized' image is RGB image, no need to give visParams
-Map.addLayer(visualized, {}, 'Visualized Image');
 
 Export.image.toDrive({
     image: visualized,

code/end_to_end_gee/01-Earth-Engine-Basics/08c_Export_(exercise)

@@ -1,6 +1,3 @@
-// Change the filter to your city
-// Write the export function to export the results
-
 var s2 = ee.ImageCollection('COPERNICUS/S2_HARMONIZED');
 var urban = ee.FeatureCollection('users/ujavalgandhi/e2e/ghs_urban_centers');
 
@@ -24,3 +21,8 @@ Map.addLayer(clipped, rgbVis, 'Clipped');
 
 var exportImage = clipped.select('B.*');
 
+// Exercise
+// Change the filter to select your city
+// Write the export function to export the results
+
+

code/end_to_end_gee/02-Earth-Engine-Intermediate/01c_Earth_Engine_Objects_(exercise)

@@ -1,8 +1,10 @@
 var s2 = ee.ImageCollection('COPERNICUS/S2_HARMONIZED');
 var geometry = ee.Geometry.Point([77.60412933051538, 12.952912912328241]);
 
-var now = Date.now()
-var now = ee.Date(now) 
+var now = Date.now();
+var now = ee.Date(now);
+
+// Exercise
 // Apply another filter to the collection below to filter images
 // collected in the last 1-month
 // Do not hard-code the dates, it should always show images