05 load raster

Loading local raster datasets with leafmap

Uncomment the following line to install leafmap if needed.

In [1]:

# !pip install leafmap

# !pip install leafmap

To follow this tutorial, you need to install the leafmap and xarray_leaflet Python packages. Use the following conda commands to create a conda env and install packages. Note that xarray_leaflet does not work properly on Windows (source). Also, the add_raster function is only available for the ipyleaflet plotting backend. Therefore, Google Colab is not supported. Use the binder link above instead.

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

Use the ipyleaflet plotting backend. The folium plotting backend does not support the add_raster function.

In [2]:

import os
import leafmap.leafmap as leafmap

import os import leafmap.leafmap as leafmap

Specify input raster datasets

In [3]:

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

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

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

Download samples raster datasets

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

In [4]:

if not os.path.exists(landsat):
    landsat_url = 'https://drive.google.com/file/d/1EV38RjNxdwEozjc9m0FcO3LFgAoAX1Uw/view?usp=sharing'
    leafmap.download_from_gdrive(landsat_url, 'landsat.tif', out_dir, unzip=False)

if not os.path.exists(landsat): landsat_url = 'https://drive.google.com/file/d/1EV38RjNxdwEozjc9m0FcO3LFgAoAX1Uw/view?usp=sharing' leafmap.download_from_gdrive(landsat_url, 'landsat.tif', out_dir, unzip=False)

In [5]:

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

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

Create an interactive map

In [6]:

Map = leafmap.Map()

Map = leafmap.Map()

Add local raster datasets to the map

More colormap can be found at https://matplotlib.org/3.1.0/tutorials/colors/colormaps.html

In [7]:

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

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

In [8]:

Map.add_raster(landsat, bands=[5, 4, 3], layer_name='Landsat')

Map.add_raster(landsat, bands=[5, 4, 3], layer_name='Landsat')

Display the map

In [9]:

Map

Map

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Last update: 2022-03-14