Using local raster datasets or remote Cloud Optimized GeoTIFFs (COG) with leafmap
Uncomment the following line to install leafmap and localtileserver if needed.
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# !pip install leafmap
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# !pip install localtileserver
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import leafmap
Specify input raster datasets
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dem = "dem.tif"
landsat = "landsat.tif"
Download samples raster datasets.
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dem_url = (
"https://drive.google.com/file/d/1vRkAWQYsLWCi6vcTMk8vLxoXMFbdMFn8/view?usp=sharing"
)
leafmap.download_file(dem_url, dem, unzip=False)
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landsat_url = "https://github.com/opengeos/leafmap/raw/master/examples/data/cog.tif"
leafmap.download_file(landsat_url, landsat, unzip=False)
Create an interactive map.
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m = leafmap.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_raster(landsat, indexes=[4, 3, 2], layer_name="Landsat")
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m.add_raster(dem, colormap="viridis", layer_name="DEM")
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m
Add a remote Cloud Optimized GeoTIFF(COG) to the map.
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m = leafmap.Map()
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url = "https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif"
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m.add_cog_layer(url, name="Maxar")
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m
