A12a Checkpoint

Import libraries¶

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import ee
import geemap

import ee import geemap

Create an interactive map¶

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Map = geemap.Map(center=[40, -100], zoom=4)

Map = geemap.Map(center=[40, -100], zoom=4)

Add Earth Engine Python script¶

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# Add Earth Engine dataset
image = ee.Image("USGS/SRTMGL1_003")

#*** Start of imports. If edited, may not auto-convert in the playground. ***#
geometry =

    # displayProperties: [
      {
        "type": "rectangle"
      }
    ] #
    ee.Geometry.Polygon(
        [[[77.65634552256087, 13.221993749480964],
          [77.65634552256087, 13.170852478759896],
          [77.75041595713118, 13.170852478759896],
          [77.75041595713118, 13.221993749480964]]], None, False),
    L8 = ee.ImageCollection("LANDSAT/LC08/C02/T1_L2")
#**** End of imports. If edited, may not auto-convert in the playground. ****#
#  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#  Chapter:      A1.2 Urban Environments
#  Checkpoint:   A12a
#  Authors:      Michelle Stuhlmacher and Ran Goldblatt
#  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Map.centerObject(geometry)

# Filter collection.
collection = L8 \
    .filterBounds(geometry) \
    .filterDate('2010-01-01', '2020-12-31') \
    .filter(ee.Filter.lte('CLOUD_COVER_LAND', 3))

# Define GIF visualization arguments.
gifParams = {
    'bands': ['SR_B4', 'SR_B3', 'SR_B2'],
    'min': 0.07 * 65536,
    'max': 0.3 * 65536,
    'region': geometry,
    'framesPerSecond': 15,
    format: 'gif'
}

# Render the GIF animation in the console.
print(ui.Thumbnail(collection, gifParams))

# -----------------------------------------------------------------------
# CHECKPOINT
# -----------------------------------------------------------------------

# Add Earth Engine dataset image = ee.Image("USGS/SRTMGL1_003") #*** Start of imports. If edited, may not auto-convert in the playground. ***# geometry = # displayProperties: [ { "type": "rectangle" } ] # ee.Geometry.Polygon( [[[77.65634552256087, 13.221993749480964], [77.65634552256087, 13.170852478759896], [77.75041595713118, 13.170852478759896], [77.75041595713118, 13.221993749480964]]], None, False), L8 = ee.ImageCollection("LANDSAT/LC08/C02/T1_L2") #**** End of imports. If edited, may not auto-convert in the playground. ****# # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Chapter: A1.2 Urban Environments # Checkpoint: A12a # Authors: Michelle Stuhlmacher and Ran Goldblatt # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Map.centerObject(geometry) # Filter collection. collection = L8 \ .filterBounds(geometry) \ .filterDate('2010-01-01', '2020-12-31') \ .filter(ee.Filter.lte('CLOUD_COVER_LAND', 3)) # Define GIF visualization arguments. gifParams = { 'bands': ['SR_B4', 'SR_B3', 'SR_B2'], 'min': 0.07 * 65536, 'max': 0.3 * 65536, 'region': geometry, 'framesPerSecond': 15, format: 'gif' } # Render the GIF animation in the console. print(ui.Thumbnail(collection, gifParams)) # ----------------------------------------------------------------------- # CHECKPOINT # -----------------------------------------------------------------------

Display the interactive map¶

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Map

Map