83 local tile

Using local raster datasets or remote Cloud Optimized GeoTIFFs (COG) with geemap

Uncomment the following line to install geemap and localtileserver if needed.

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# !pip install geemap localtileserver

# !pip install geemap localtileserver

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import os
import geemap

import os import geemap

Specify input raster datasets

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out_dir = os.path.expanduser('~/Downloads')

if not os.path.exists(out_dir):
    os.makedirs(out_dir)

dem = os.path.join(out_dir, 'dem.tif')

out_dir = os.path.expanduser('~/Downloads') if not os.path.exists(out_dir): os.makedirs(out_dir) dem = os.path.join(out_dir, 'dem.tif')

Download samples raster datasets.

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if not os.path.exists(dem):
    dem_url = 'https://drive.google.com/file/d/1vRkAWQYsLWCi6vcTMk8vLxoXMFbdMFn8/view?usp=sharing'
    geemap.download_file(dem_url, dem, unzip=False)

if not os.path.exists(dem): dem_url = 'https://drive.google.com/file/d/1vRkAWQYsLWCi6vcTMk8vLxoXMFbdMFn8/view?usp=sharing' geemap.download_file(dem_url, dem, unzip=False)

Create an interactive map.

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m = geemap.Map()

m = geemap.Map()

Add local raster datasets to the map. The available palettes can be found at https://jiffyclub.github.io/palettable/

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m.add_local_tile(dem, palette='terrain', layer_name="DEM")

m.add_local_tile(dem, palette='terrain', layer_name="DEM")

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m

m

Add a remote Cloud Optimized GeoTIFF(COG) to the map.

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m = geemap.Map()

m = geemap.Map()

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url = 'https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif'

url = 'https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif'

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m.add_remote_tile(url, layer_name="CA Fire")

m.add_remote_tile(url, layer_name="CA Fire")

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m

m