Random sampling

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import ee
import geemap

import ee import geemap

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Map = geemap.Map(zoom=8)

Map = geemap.Map(zoom=8)

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image = ee.Image('LE7_TOA_5YEAR/1999_2003').select(['B1', 'B2', 'B3', 'B4', 'B5', 'B7'])

image = ee.Image('LE7_TOA_5YEAR/1999_2003').select(['B1', 'B2', 'B3', 'B4', 'B5', 'B7'])

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Map.addLayer(image, {'bands': ['B4', 'B3', 'B2'], 'min': 20, 'max': 200, 'gamma': 2.0}, 'Landsat 7')
Map

Map.addLayer(image, {'bands': ['B4', 'B3', 'B2'], 'min': 20, 'max': 200, 'gamma': 2.0}, 'Landsat 7') Map

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region = Map.user_roi

region = Map.user_roi

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if region is None:
    region = ee.Geometry.Point([-101.5, 40]).buffer(100000)
    Map.addLayer(ee.Image().paint(region, 0, 4), {'palette': 'yellow'}, "ROI-1")

if region is None: region = ee.Geometry.Point([-101.5, 40]).buffer(100000) Map.addLayer(ee.Image().paint(region, 0, 4), {'palette': 'yellow'}, "ROI-1")

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random_points = geemap.random_sampling(image, region, numPixels=1000)
Map.addLayer(random_points, {}, "Random Sampling")

random_points = geemap.random_sampling(image, region, numPixels=1000) Map.addLayer(random_points, {}, "Random Sampling")

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df = geemap.ee_to_pandas(random_points)
df

df = geemap.ee_to_pandas(random_points) df

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region2 = Map.user_roi

region2 = Map.user_roi

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if region2 is None:
    region2 = ee.Geometry.Point([-99, 40]).buffer(100000)
    Map.addLayer(ee.Image().paint(region2, 0, 4), {'palette': 'blue'}, "ROI-2")

if region2 is None: region2 = ee.Geometry.Point([-99, 40]).buffer(100000) Map.addLayer(ee.Image().paint(region2, 0, 4), {'palette': 'blue'}, "ROI-2")

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sys_points = geemap.random_sampling(image, region2, scale=10000)
Map.addLayer(sys_points, {}, "Systematic Sampling")

sys_points = geemap.random_sampling(image, region2, scale=10000) Map.addLayer(sys_points, {}, "Systematic Sampling")

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df = geemap.ee_to_pandas(sys_points)
df

df = geemap.ee_to_pandas(sys_points) df

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Last update: 2021-11-28