F12e 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:      F1.2 Survey of Raster Datasets
#  Checkpoint:   F12e
#  Authors:      Andréa, Karen, Nick Clinton, David Saah
#  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

##/
# Other satellite products
##/

# Import a Sentinel-5 methane dataset.
methane = ee.ImageCollection("COPERNICUS/S5P/OFFL/L3_CH4")

# Filter the methane dataset.
methane2018 = (
    methane.select("CH4_column_volume_mixing_ratio_dry_air")
    .filterDate("2018-11-28", "2018-11-29")
    .first()
)

# Make a visualization for the methane data.
methaneVis = {
    "palette": ["black", "blue", "purple", "cyan", "green", "yellow", "red"],
    "min": 1770,
    "max": 1920,
}

# Center the Map.
Map.centerObject(methane2018, 3)

# Add the methane dataset to the map.
Map.addLayer(methane2018, methaneVis, "Methane")

# Import the ERA5 Monthly dataset
era5Monthly = ee.ImageCollection("ECMWF/ERA5/MONTHLY")

# Filter the dataset
era5MonthlyTemp = (
    era5Monthly.select("mean_2m_air_temperature")
    .filterDate("2018-01-01", "2018-01-31")
    .first()
)

# Add the ERA dataset to the map.
Map.addLayer(
    era5MonthlyTemp,
    {"palette": ["yellow", "red"], "min": 260, "max": 320},
    "ERA5 Max Monthly Temp",
)

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

# Add Earth Engine dataset image = ee.Image("USGS/SRTMGL1_003") # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Chapter: F1.2 Survey of Raster Datasets # Checkpoint: F12e # Authors: Andréa, Karen, Nick Clinton, David Saah # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ##/ # Other satellite products ##/ # Import a Sentinel-5 methane dataset. methane = ee.ImageCollection("COPERNICUS/S5P/OFFL/L3_CH4") # Filter the methane dataset. methane2018 = ( methane.select("CH4_column_volume_mixing_ratio_dry_air") .filterDate("2018-11-28", "2018-11-29") .first() ) # Make a visualization for the methane data. methaneVis = { "palette": ["black", "blue", "purple", "cyan", "green", "yellow", "red"], "min": 1770, "max": 1920, } # Center the Map. Map.centerObject(methane2018, 3) # Add the methane dataset to the map. Map.addLayer(methane2018, methaneVis, "Methane") # Import the ERA5 Monthly dataset era5Monthly = ee.ImageCollection("ECMWF/ERA5/MONTHLY") # Filter the dataset era5MonthlyTemp = ( era5Monthly.select("mean_2m_air_temperature") .filterDate("2018-01-01", "2018-01-31") .first() ) # Add the ERA dataset to the map. Map.addLayer( era5MonthlyTemp, {"palette": ["yellow", "red"], "min": 260, "max": 320}, "ERA5 Max Monthly Temp", ) # ----------------------------------------------------------------------- # CHECKPOINT # -----------------------------------------------------------------------

Display the interactive map¶

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Map

Map