111 image count

Uncomment the following line to install geemap if needed.

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# !pip install geemap

# !pip install geemap

In [ ]:

import ee
import geemap
import geemap.colormaps as cm

import ee import geemap import geemap.colormaps as cm

If run into errors, uncomment the following line to update the package and restart the kernel to take effect.

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# geemap.update_package()

# geemap.update_package()

In [ ]:

Map = geemap.Map()
Map

Map = geemap.Map() Map

Draw a rectangle/polygon on the map to be used as an Area of Interest (AOI). If no AOI is specified, the entire image collection will be used.

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region = Map.user_roi

region = Map.user_roi

Use any Earth Engine collection to filter data, for example, using Landsat 8 Collection 2.

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collection = ee.ImageCollection("LANDSAT/LC08/C02/T1_L2")

collection = ee.ImageCollection("LANDSAT/LC08/C02/T1_L2")

You can filter the image collection by region and date range. Set clip=True if you want to clip the resulting image to the region boundary.

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image = geemap.image_count(
    collection, region, start_date='2021-01-01', end_date='2022-01-01', clip=False
)

image = geemap.image_count( collection, region, start_date='2021-01-01', end_date='2022-01-01', clip=False )

Set visualization parameters.

In [ ]:

vis = {'min': 0, 'max': 60, 'palette': cm.palettes.coolwarm}

vis = {'min': 0, 'max': 60, 'palette': cm.palettes.coolwarm}

In [ ]:

Map.addLayer(image, vis, 'Landsat 8 Image Count')

Map.addLayer(image, vis, 'Landsat 8 Image Count')

Add country boundaries to the map

In [ ]:

countries = ee.FeatureCollection('users/giswqs/public/countries')
style = {"color": "00000088", "width": 1, "fillColor": "00000000"}
Map.addLayer(countries.style(**style), {}, "Countries")
Map.add_colorbar(vis, label='Landsat 8 Image Count')
Map

countries = ee.FeatureCollection('users/giswqs/public/countries') style = {"color": "00000088", "width": 1, "fillColor": "00000000"} Map.addLayer(countries.style(**style), {}, "Countries") Map.add_colorbar(vis, label='Landsat 8 Image Count') Map