Convert API code snippets from JS to Py (image resampling)

PiperOrigin-RevId: 638687727

samples/javascript/guides/resample.js

@@ -44,15 +44,24 @@ Map.addLayer(resampled, visParams, 'resampled');
 
 // Export this region, expressed as a polygon.
 var polygon = ee.Geometry.Polygon(
-        [[[-122.39233016967773, 37.631464821010745],
-          [-122.39245891571045, 37.60631018703994],
-          [-122.35263347625732, 37.606344185530936],
-          [-122.35246181488037, 37.63136285994676]]]);
-// Define a set of export parameters.
-var exportParams = {scale: 5, region: polygon};
-Export.image(landsat.visualize(visParams), 'resample_original', exportParams);
-Export.image(resampled.visualize(visParams), 'resample_bicubic', exportParams);
-
+  [[[-122.39233016967773, 37.631464821010745],
+    [-122.39245891571045, 37.60631018703994],
+    [-122.35263347625732, 37.606344185530936],
+    [-122.35246181488037, 37.63136285994676]]]);
+Export.image.toAsset({
+    image: landsat.visualize(visParams),
+    description: 'resample_original',
+    assetId: 'projects/MY-PROJECT/assets/resample_original',
+    scale: 5,
+    region: polygon,
+});
+Export.image.toAsset({
+    image: resampled.visualize(visParams),
+    description: 'resample_bicubic',
+    assetId: 'projects/MY-PROJECT/assets/resample_bicubic',
+    scale: 5,
+    region: polygon,
+});
 
 // [START earthengine__resample__reduce_resolution]
 // Load a MODIS EVI image.

samples/python/guides/resample.py

@@ -0,0 +1,113 @@
+# Copyright 2024 The Google Earth Engine Community Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+
+#  Earth Engine Developer's Guide examples
+#   from Resample and ReduceResolution doc.
+
+# [START earthengine__resample__resample]
+# Load a Landsat image over San Francisco, California, UAS.
+landsat = ee.Image('LANDSAT/LC08/C02/T1_TOA/LC08_044034_20160323')
+
+# Set display and visualization parameters.
+m = geemap.Map()
+m.set_center(-122.37383, 37.6193, 15)
+vis_params = {'bands': ['B4', 'B3', 'B2'], 'max': 0.3}
+
+# Display the Landsat image using the default nearest neighbor resampling.
+# when reprojecting to Mercator for the Code Editor map.
+m.add_layer(landsat, vis_params, 'original image')
+
+# Force the next reprojection on this image to use bicubic resampling.
+resampled = landsat.resample('bicubic')
+
+# Display the Landsat image using bicubic resampling.
+m.add_layer(resampled, vis_params, 'resampled')
+# [END earthengine__resample__resample]
+
+# Export the images to the WGS84 crs, using both nearest neighbor
+# resampling (default) and bicubic resampling for comparison.
+# These are Figures 1a and 1b in the docs.
+
+# Export this region, expressed as a polygon.
+polygon = ee.Geometry.Polygon([[
+    [-122.39233016967773, 37.631464821010745],
+    [-122.39245891571045, 37.60631018703994],
+    [-122.35263347625732, 37.606344185530936],
+    [-122.35246181488037, 37.63136285994676],
+]])
+task1 = ee.batch.Export.image.toAsset(
+    image=landsat.visualize(**vis_params),
+    description='resample_original',
+    assetId='projects/MY-PROJECT/assets/resample_original',
+    scale=5,
+    region=polygon,
+)
+task1.start()
+task2 = ee.batch.Export.image.toAsset(
+    image=resampled.visualize(**vis_params),
+    description='resample_bicubic',
+    assetId='projects/MY-PROJECT/assets/resample_bicubic',
+    scale=5,
+    region=polygon,
+)
+task2.start()
+
+# [START earthengine__resample__reduce_resolution]
+# Load a MODIS EVI image.
+modis = ee.Image(ee.ImageCollection('MODIS/006/MOD13A1').first()).select('EVI')
+
+# Display the EVI image near La Honda, California.
+m.set_center(-122.3616, 37.5331, 12)
+m.add_layer(modis, {'min': 2000, 'max': 5000}, 'MODIS EVI')
+
+# Get information about the MODIS projection.
+modis_projection = modis.projection()
+display('MODIS projection:', modis_projection)
+
+# Load and display forest cover data at 30 meters resolution.
+forest = ee.Image('UMD/hansen/global_forest_change_2015').select(
+    'treecover2000'
+)
+m.add_layer(forest, {'max': 80}, 'forest cover 30 m')
+
+# Get the forest cover data at MODIS scale and projection.
+forest_mean = (
+    forest
+    # Force the next reprojection to aggregate instead of resampling.
+    .reduceResolution(reducer=ee.Reducer.mean(), maxPixels=1024)
+    # Request the data at the scale and projection of the MODIS image.
+    .reproject(crs=modis_projection)
+)
+
+# Display the aggregated, reprojected forest cover data.
+m.add_layer(forest_mean, {'max': 80}, 'forest cover at MODIS scale')
+# [END earthengine__resample__reduce_resolution]
+
+# [START earthengine__resample__reduce_resolution_weights]
+# Compute forest area per MODIS pixel.
+forest_area = (
+    forest.gt(0)
+    # Force the next reprojection to aggregate instead of resampling.
+    .reduceResolution(reducer=ee.Reducer.mean(), maxPixels=1024)
+    # The reduce resolution returns the fraction of the MODIS pixel
+    # that's covered by 30 meter forest pixels.  Convert to area
+    # after the reduceResolution() call.
+    .multiply(ee.Image.pixelArea())
+    # Request the data at the scale and projection of the MODIS image.
+    .reproject(crs=modis_projection)
+)
+m.add_layer(forest_area, {'max': 500 * 500}, 'forested area at MODIS scale')
+m
+# [END earthengine__resample__reduce_resolution_weights]