update

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

@@ -11,5 +11,5 @@ var now = ee.Date(now);
 // from the past 1-month whenever you run the script
 // Hint: Use ee.Date.advance() function
 //   to compute the date 1 month before now
-var filtered = s2.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 30))
+var filtered = s2
   .filter(ee.Filter.bounds(geometry))

code/end_to_end_gee/02-Earth-Engine-Intermediate/02a_Calculating_Indices

@@ -2,7 +2,10 @@
 var admin2 = ee.FeatureCollection("FAO/GAUL_SIMPLIFIED_500m/2015/level2"),
     s2 = ee.ImageCollection("COPERNICUS/S2_HARMONIZED");
 /***** End of imports. If edited, may not auto-convert in the playground. *****/
-var filteredAdmin2 = admin2.filter(ee.Filter.eq('ADM2_NAME', 'Bangalore Urban'));
+var filteredAdmin2 = admin2
+  .filter(ee.Filter.eq('ADM2_NAME', 'Bangalore Urban'))
+  .filter(ee.Filter.eq('ADM1_NAME', 'Karnataka'));
+
 var geometry = filteredAdmin2.geometry();
 Map.centerObject(geometry);
 

code/end_to_end_gee/02-Earth-Engine-Intermediate/02b_Calculating_Indices_(complete)

@@ -1,7 +1,9 @@
 var s2 = ee.ImageCollection('COPERNICUS/S2_HARMONIZED');
 var admin2 = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2');
 
-var filteredAdmin2 = admin2.filter(ee.Filter.eq('ADM2_NAME', 'Bangalore Urban'));
+var filteredAdmin2 = admin2
+  .filter(ee.Filter.eq('ADM2_NAME', 'Bangalore Urban'))
+  .filter(ee.Filter.eq('ADM1_NAME', 'Karnataka'));
 var geometry = filteredAdmin2.geometry();
 Map.centerObject(geometry);
 

code/end_to_end_gee/02-Earth-Engine-Intermediate/02c_Calculating_Indices_(exercise)

@@ -1,7 +1,9 @@
 var s2 = ee.ImageCollection('COPERNICUS/S2_HARMONIZED');
 var admin2 = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2');
 
-var filteredAdmin2 = admin2.filter(ee.Filter.eq('ADM2_NAME', 'Bangalore Urban'));
+var filteredAdmin2 = admin2
+  .filter(ee.Filter.eq('ADM2_NAME', 'Bangalore Urban'))
+  .filter(ee.Filter.eq('ADM1_NAME', 'Karnataka'));
 var geometry = filteredAdmin2.geometry();
 Map.centerObject(geometry);
 

code/end_to_end_gee/02-Earth-Engine-Intermediate/03c_Computation_on_Image_Collections_(exercise)

@@ -13,7 +13,7 @@ var filteredS2 = s2.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 30))
   .filter(ee.Filter.bounds(geometry));
 
 var composite = filteredS2.median();
-Map.addLayer(composite, rgbVis, 'Admin1 Composite');
+Map.addLayer(composite.clip(geometry), rgbVis, 'Admin1 Composite');
 
 // This function calculates both NDVI and NDWI indices
 // and returns an image with 2 new bands added to the original image.

code/end_to_end_gee/03-Supervised-Classification/04c_Exporting_Classification_Results_(exercise)

@@ -162,7 +162,6 @@ Map.addLayer(classified.clip(geometry), {min: 0, max: 3, palette: palette}, '201
 // bands is to use {'.default': 'mode'}
 
 // assetId should be specified as a string
-// Lookup your asset root name from the 'Assets' tab
-// If it is 'users/username', you can specify the id as
-// 'users/username/classified_image'
+// It can be just the asset name 'classified_image'
+// or a full path such as 'projects/ee-<yourusername>/classified_image'
 

code/end_to_end_gee/Assignments/Assignment2

@@ -21,13 +21,18 @@ var geometry = ee.Geometry.Point([77.54849920033682, 12.91215102400037]);
 // to obtain the actual temparature value
 
 // map() a function and multiply each image
+
+var tmax = terraclimate.select('tmmx');
+
+// Function that applies the scaling factor to the each image 
+
 // Multiplying creates a new image that doesn't have the same properties
 // Use copyProperties() function to copy timestamp to new image
-var tmax = terraclimate.select('tmmx')
-var tmaxScaled = tmax.map(function(image) {
+var scaleImage = function(image) {
   return image.multiply(0.1)
     .copyProperties(image,['system:time_start']);
-})
+};
+var tmaxScaled = tmax.map(scaleImage);
 
 // Hint2
 // You will need to specify pixel resolution as the scale parameter 

code/end_to_end_gee/Assignments/Assignment3

@@ -8,4 +8,8 @@
 // 1. Add relevant indicies
 // 2. Add cloud masking
 // 3. Add elevation and slope
-// 4. Normalize the data
+// 4. Normalize the data
+
+// [Optional]
+// Accuracy Assessment
+// Post-processing Classification

code/end_to_end_gee/Supplement/Image_Collections/Harmonized_Landsat_Time_Series

@@ -92,7 +92,7 @@ var L7 = L7
   .select(l7Bands,l7names);
 
 var L8 = L8
-  .filterDate(ee.Filter.date('2013-05-01', '2099-01-01')) // Images before May 1 had some pointing issues.
+  .filter(ee.Filter.date('2013-05-01', '2099-01-01')) // Images before May 1 had some pointing issues.
   .filter(ee.Filter.neq('NADIR_OFFNADIR', 'OFFNADIR'))
   .filter(ee.Filter.lt('WRS_ROW', 122))  // Remove night-time images.
   .map(maskL8sr)

code/end_to_end_gee/Supplement/Image_Collections/Visualizing_Bands_of_an_Image

@@ -4,6 +4,9 @@
 // 2. Animation: Create a video with a frame for each band
 
 var s2 = ee.ImageCollection('COPERNICUS/S2_HARMONIZED');
+
+// You may delete and draw a polygon at any region
+// in the world
 var geometry = ee.Geometry.Polygon([[
   [77.57018, 12.96010],
   [77.57018, 12.93953],
@@ -27,7 +30,7 @@ var bandsToUse = bands.remove('B10');
 
 // Tip: change the bandsToUse variable to a smaller list
 // such as ['B1', 'B2', 'B3', 'B4] to create shorter 
-// filmstrips and repeat for other bands
+// filmstrips and repeat for other set of bands
 
 // map() a function on the list of bands
 var bandCol = ee.ImageCollection(bandsToUse.map(function(band) {

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

@@ -11,5 +11,5 @@ var now = ee.Date(now);
 // from the past 1-month whenever you run the script
 // Hint: Use ee.Date.advance() function
 //   to compute the date 1 month before now
-var filtered = s2.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 30))
+var filtered = s2
   .filter(ee.Filter.bounds(geometry))

docs/code/end_to_end_gee/02-Earth-Engine-Intermediate/02a_Calculating_Indices

@@ -2,7 +2,10 @@
 var admin2 = ee.FeatureCollection("FAO/GAUL_SIMPLIFIED_500m/2015/level2"),
     s2 = ee.ImageCollection("COPERNICUS/S2_HARMONIZED");
 /***** End of imports. If edited, may not auto-convert in the playground. *****/
-var filteredAdmin2 = admin2.filter(ee.Filter.eq('ADM2_NAME', 'Bangalore Urban'));
+var filteredAdmin2 = admin2
+  .filter(ee.Filter.eq('ADM2_NAME', 'Bangalore Urban'))
+  .filter(ee.Filter.eq('ADM1_NAME', 'Karnataka'));
+
 var geometry = filteredAdmin2.geometry();
 Map.centerObject(geometry);
 

docs/code/end_to_end_gee/02-Earth-Engine-Intermediate/02b_Calculating_Indices_(complete)

@@ -1,7 +1,9 @@
 var s2 = ee.ImageCollection('COPERNICUS/S2_HARMONIZED');
 var admin2 = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2');
 
-var filteredAdmin2 = admin2.filter(ee.Filter.eq('ADM2_NAME', 'Bangalore Urban'));
+var filteredAdmin2 = admin2
+  .filter(ee.Filter.eq('ADM2_NAME', 'Bangalore Urban'))
+  .filter(ee.Filter.eq('ADM1_NAME', 'Karnataka'));
 var geometry = filteredAdmin2.geometry();
 Map.centerObject(geometry);
 

docs/code/end_to_end_gee/02-Earth-Engine-Intermediate/02c_Calculating_Indices_(exercise)

@@ -1,7 +1,9 @@
 var s2 = ee.ImageCollection('COPERNICUS/S2_HARMONIZED');
 var admin2 = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2');
 
-var filteredAdmin2 = admin2.filter(ee.Filter.eq('ADM2_NAME', 'Bangalore Urban'));
+var filteredAdmin2 = admin2
+  .filter(ee.Filter.eq('ADM2_NAME', 'Bangalore Urban'))
+  .filter(ee.Filter.eq('ADM1_NAME', 'Karnataka'));
 var geometry = filteredAdmin2.geometry();
 Map.centerObject(geometry);
 

docs/code/end_to_end_gee/02-Earth-Engine-Intermediate/03c_Computation_on_Image_Collections_(exercise)

@@ -13,7 +13,7 @@ var filteredS2 = s2.filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 30))
   .filter(ee.Filter.bounds(geometry));
 
 var composite = filteredS2.median();
-Map.addLayer(composite, rgbVis, 'Admin1 Composite');
+Map.addLayer(composite.clip(geometry), rgbVis, 'Admin1 Composite');
 
 // This function calculates both NDVI and NDWI indices
 // and returns an image with 2 new bands added to the original image.

docs/code/end_to_end_gee/03-Supervised-Classification/04c_Exporting_Classification_Results_(exercise)

@@ -162,7 +162,6 @@ Map.addLayer(classified.clip(geometry), {min: 0, max: 3, palette: palette}, '201
 // bands is to use {'.default': 'mode'}
 
 // assetId should be specified as a string
-// Lookup your asset root name from the 'Assets' tab
-// If it is 'users/username', you can specify the id as
-// 'users/username/classified_image'
+// It can be just the asset name 'classified_image'
+// or a full path such as 'projects/ee-<yourusername>/classified_image'
 

docs/code/end_to_end_gee/Assignments/Assignment2

@@ -21,13 +21,18 @@ var geometry = ee.Geometry.Point([77.54849920033682, 12.91215102400037]);
 // to obtain the actual temparature value
 
 // map() a function and multiply each image
+
+var tmax = terraclimate.select('tmmx');
+
+// Function that applies the scaling factor to the each image 
+
 // Multiplying creates a new image that doesn't have the same properties
 // Use copyProperties() function to copy timestamp to new image
-var tmax = terraclimate.select('tmmx')
-var tmaxScaled = tmax.map(function(image) {
+var scaleImage = function(image) {
   return image.multiply(0.1)
     .copyProperties(image,['system:time_start']);
-})
+};
+var tmaxScaled = tmax.map(scaleImage);
 
 // Hint2
 // You will need to specify pixel resolution as the scale parameter 

docs/code/end_to_end_gee/Assignments/Assignment3

@@ -8,4 +8,8 @@
 // 1. Add relevant indicies
 // 2. Add cloud masking
 // 3. Add elevation and slope
-// 4. Normalize the data
+// 4. Normalize the data
+
+// [Optional]
+// Accuracy Assessment
+// Post-processing Classification

docs/code/end_to_end_gee/Supplement/Image_Collections/Harmonized_Landsat_Time_Series

@@ -92,7 +92,7 @@ var L7 = L7
   .select(l7Bands,l7names);
 
 var L8 = L8
-  .filterDate(ee.Filter.date('2013-05-01', '2099-01-01')) // Images before May 1 had some pointing issues.
+  .filter(ee.Filter.date('2013-05-01', '2099-01-01')) // Images before May 1 had some pointing issues.
   .filter(ee.Filter.neq('NADIR_OFFNADIR', 'OFFNADIR'))
   .filter(ee.Filter.lt('WRS_ROW', 122))  // Remove night-time images.
   .map(maskL8sr)

docs/code/end_to_end_gee/Supplement/Image_Collections/Visualizing_Bands_of_an_Image

@@ -4,6 +4,9 @@
 // 2. Animation: Create a video with a frame for each band
 
 var s2 = ee.ImageCollection('COPERNICUS/S2_HARMONIZED');
+
+// You may delete and draw a polygon at any region
+// in the world
 var geometry = ee.Geometry.Polygon([[
   [77.57018, 12.96010],
   [77.57018, 12.93953],
@@ -27,7 +30,7 @@ var bandsToUse = bands.remove('B10');
 
 // Tip: change the bandsToUse variable to a smaller list
 // such as ['B1', 'B2', 'B3', 'B4] to create shorter 
-// filmstrips and repeat for other bands
+// filmstrips and repeat for other set of bands
 
 // map() a function on the list of bands
 var bandCol = ee.ImageCollection(bandsToUse.map(function(band) {

docs/code/gdal/mastering_gdal_tools.ipynb

@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyOKwMiSI7qkVGWyFyAy/ezy"
+      "authorship_tag": "ABX9TyMtS4+8gZQGSOsydHQ7mqm7"
     },
     "kernelspec": {
       "name": "python3",
@@ -152,7 +152,7 @@
         "\n",
         "\n",
         "data_pkg_zip = 'gdal-tools.zip'\n",
-        "data_url = 'https://github.com/spatialthoughts/courses/releases/download/gdal/'\n",
+        "data_url = 'https://github.com/spatialthoughts/courses/releases/download/data/'\n",
         "\n",
         "\n",
         "download(data_url + data_pkg_zip)"