Uncomment the following line to install geemap if needed.

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# !pip install geemap

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# import geemap
# geemap.update_package()

Interactive extraction of pixel values and interactive region reduction¶

Interactive extraction of pixel values¶

Import libraries¶

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import os
import ee
import geemap

Create an interactive map¶

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Map = geemap.Map()
Map

Add data to the map¶

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landsat7 = ee.Image('LE7_TOA_5YEAR/1999_2003') \
    .select([0, 1, 2, 3, 4, 6])
landsat_vis = {
    'bands': ['B4', 'B3', 'B2'], 
    'gamma': 1.7
}
Map.addLayer(landsat7, landsat_vis, "LE7_TOA_5YEAR/1999_2003")

Map.set_plot_options(add_marker_cluster=True)

Activate the plotting tool¶

Tick the Plotting checkbox and click the mouse on the map to start displaying charts.

Export pixel values to shapefile/csv¶

In [ ]:

out_dir = os.path.expanduser('~/Downloads')
# out_csv = os.path.join(out_dir, 'points.csv')
out_shp = os.path.join(out_dir, 'points.shp')

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Map.extract_values_to_points(out_shp)

Interactive Region Reduction¶

Import libraries¶

In [ ]:

import geemap.colormaps as cm

Create an interactive map¶

In [ ]:

m = geemap.Map()

Add add to the map¶

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collection = ee.ImageCollection('MODIS/006/MOD13A2') \
    .filterDate('2015-01-01', '2019-12-31') \
    .select('NDVI')

# Convert the image collection to an image.
image = collection.toBands()

palette = cm.palettes.ndvi

ndvi_vis = {
  'min': 0.0,
  'max': 9000.0,
  'palette': palette
}

m.addLayer(image, {}, 'MODIS NDVI Time-series')
m.addLayer(image.select(0), ndvi_vis, 'MODIS NDVI VIS')

m

Set reducer¶

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m.set_plot_options(add_marker_cluster=True, marker=None)
m.roi_reducer = ee.Reducer.mean()

Export data¶

In [ ]:

out_dir = os.path.expanduser('~/Downloads')
# out_csv = os.path.join(out_dir, 'points.csv')
out_shp = os.path.join(out_dir, 'ndvi.shp')
m.extract_values_to_points(out_shp)

Creating training samples¶

In [ ]:

import geemap

In [ ]:

geemap.show_youtube("https://youtu.be/VWh5PxXPZw0")

In [ ]:

Map = geemap.Map()
Map

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Last update: 2021-03-17