03_finding_images.py

import ee
import geemap

# Create a map centered at (lat, lon).
Map = geemap.Map(center=[40, -100], zoom=4)

collection = ee.ImageCollection('LANDSAT/LC08/C01/T1')

point = ee.Geometry.Point(-122.262, 37.8719)
start = ee.Date('2014-06-01')
finish = ee.Date('2014-10-01')

filteredCollection = ee.ImageCollection('LANDSAT/LC08/C01/T1') \
    .filterBounds(point) \
    .filterDate(start, finish) \
    .sort('CLOUD_COVER', True)

first = filteredCollection.first()
# Define visualization parameters in an object literal.
vizParams = {'bands': ['B5', 'B4', 'B3'],
             'min': 5000, 'max': 15000, 'gamma': 1.3}
Map.addLayer(first, vizParams, 'Landsat 8 image')

# Load a feature collection.
featureCollection = ee.FeatureCollection('TIGER/2016/States')

# Filter the collection.
filteredFC = featureCollection.filter(ee.Filter.eq('NAME', 'California'))

# Display the collection.
Map.addLayer(ee.Image().paint(filteredFC, 0, 2),
             {'palette': 'red'}, 'California')

# Display the map.
Map