104 clip image

Uncomment the following line to install geemap if needed.

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# !pip install geemap rasterio fiona

# !pip install geemap rasterio fiona

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import geemap

import geemap

Download a sample raster dataset.

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url = 'https://github.com/giswqs/data/raw/main/raster/srtm90.tif'
dem = 'dem.tif'

url = 'https://github.com/giswqs/data/raw/main/raster/srtm90.tif' dem = 'dem.tif'

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geemap.download_file(url, dem)

geemap.download_file(url, dem)

Create an interactive map.

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m = geemap.Map()
m.add_raster(dem, palette='terrain', layer_name="DEM")
m

m = geemap.Map() m.add_raster(dem, palette='terrain', layer_name="DEM") m

Define a mask to extract the image. The mask can be a string representing a file path to a vector dataset (e.g., geojson, shp), or a list of coordinates (e.g., [[lon,lat], [lon,lat]]), or a dictionary representing a feature (e.g., m.user_roi).

For example, the mask can be a filepath to a vector dataset.

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# mask = 'https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/mask.geojson'

# mask = 'https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/mask.geojson'

Or you can draw a polygon on the map, then use m.user_roi as the mask.

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# mask = m.user_roi

# mask = m.user_roi

Or specify a list of coordinates [lon, lat] as the mask.

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mask = [
    [-119.679565, 37.256566],
    [-119.679565, 38.061067],
    [-118.24585, 38.061067],
    [-118.24585, 37.256566],
    [-119.679565, 37.256566],
]

mask = [ [-119.679565, 37.256566], [-119.679565, 38.061067], [-118.24585, 38.061067], [-118.24585, 37.256566], [-119.679565, 37.256566], ]

Specify the output filename.

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output = 'clip.tif'

output = 'clip.tif'

Clip image by mask.

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geemap.clip_image(dem, mask, output)

geemap.clip_image(dem, mask, output)

Add the clipped image to the map.

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m.add_raster(output, palette='gist_earth', layer_name="Clip Image")

m.add_raster(output, palette='gist_earth', layer_name="Clip Image")