25 load rasters

Uncomment the following line to install geemap if needed.

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# !pip install geemap

# !pip install geemap

To follow this tutorial, you need to install the [geemap] and xarray_leaflet Python packages. Use the following conda commands to create a conda env and install packages:

• conda create -n gee python
• conda activate gee
• conda install mamba -c conda-forge
• mamba install geemap xarray_leaflet -c conda-forge

Import libraries

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import geemap

import geemap

Specify input raster datasets

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url1 = "https://open.gishub.org/data/raster/landsat.tif"
url2 = "https://open.gishub.org/data/raster/srtm90.tif"

url1 = "https://open.gishub.org/data/raster/landsat.tif" url2 = "https://open.gishub.org/data/raster/srtm90.tif"

Download samples raster datasets

More datasets can be downloaded from https://viewer.nationalmap.gov/basic/

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landsat = geemap.download_file(url1, "landsat.tif")
dem = geemap.download_file(url2, "srtm90.tif")

landsat = geemap.download_file(url1, "landsat.tif") dem = geemap.download_file(url2, "srtm90.tif")

Create an interactive map

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Map = geemap.Map()

Map = geemap.Map()

Add local raster datasets to the map

More colormap can be found at https://matplotlib.org/stable/tutorials/colors/colormaps.html

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Map.add_raster(dem, colormap="terrain", layer_name="DEM")

Map.add_raster(dem, colormap="terrain", layer_name="DEM")

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Map.add_raster(landsat, indexes=[3, 2, 1], vmin=10, vmax=180, layer_name="Landsat")

Map.add_raster(landsat, indexes=[3, 2, 1], vmin=10, vmax=180, layer_name="Landsat")

Display the map

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Map

Map