F41a 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")

#  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#  Chapter:      F4.1 Exploring Image Collections
#  Checkpoint:   F41a
#  Author:       Gennadii Donchyts
#  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

# Define a region of interest as a point in Lisbon, Portugal.
lisbonPoint = ee.Geometry.Point(-9.179473, 38.763948)

# Center the map at that point.
Map.centerObject(lisbonPoint, 16)

# filter the large ImageCollection to be just images from 2020
# around Lisbon. From each image, select True-color bands to draw
filteredIC = (
    ee.ImageCollection("LANDSAT/LC08/C02/T1_TOA")
    .filterDate("2020-01-01", "2021-01-01")
    .filterBounds(lisbonPoint)
    .select(["B6", "B5", "B4"])
)

# Add the filtered ImageCollection so that we can inspect values
# via the Inspector tool
Map.addLayer(filteredIC, {}, "TOA image collection")

# Construct a chart using values queried from image collection.
chart = ui.Chart.image.series(
    {
        "imageCollection": filteredIC,
        "region": lisbonPoint,
        "reducer": ee.Reducer.first(),
        "scale": 10,
    }
)

# Show the chart in the Console.
print(chart)

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

# Add Earth Engine dataset image = ee.Image("USGS/SRTMGL1_003") # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Chapter: F4.1 Exploring Image Collections # Checkpoint: F41a # Author: Gennadii Donchyts # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Define a region of interest as a point in Lisbon, Portugal. lisbonPoint = ee.Geometry.Point(-9.179473, 38.763948) # Center the map at that point. Map.centerObject(lisbonPoint, 16) # filter the large ImageCollection to be just images from 2020 # around Lisbon. From each image, select True-color bands to draw filteredIC = ( ee.ImageCollection("LANDSAT/LC08/C02/T1_TOA") .filterDate("2020-01-01", "2021-01-01") .filterBounds(lisbonPoint) .select(["B6", "B5", "B4"]) ) # Add the filtered ImageCollection so that we can inspect values # via the Inspector tool Map.addLayer(filteredIC, {}, "TOA image collection") # Construct a chart using values queried from image collection. chart = ui.Chart.image.series( { "imageCollection": filteredIC, "region": lisbonPoint, "reducer": ee.Reducer.first(), "scale": 10, } ) # Show the chart in the Console. print(chart) # ----------------------------------------------------------------------- # CHECKPOINT # -----------------------------------------------------------------------

Display the interactive map¶

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Map

Map