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]:

landsat = "landsat.tif"
dem = "dem.tif"

landsat = "landsat.tif" dem = "dem.tif"

Download samples raster datasets

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

In [4]:

url1 = "https://open.gishub.org/data/raster/landsat7.tif"
url2 = "https://open.gishub.org/data/raster/srtm90.tif"
satellite = leafmap.download_file(url1, "landsat.tif")
dem = leafmap.download_file(url2, "dem.tif")

url1 = "https://open.gishub.org/data/raster/landsat7.tif" url2 = "https://open.gishub.org/data/raster/srtm90.tif" satellite = leafmap.download_file(url1, "landsat.tif") dem = leafmap.download_file(url2, "dem.tif")

Downloading...
From: https://open.gishub.org/data/raster/landsat7.tif
To: /home/runner/work/leafmap/leafmap/docs/notebooks/landsat.tif

  0%|          | 0.00/4.87M [00:00<?, ?B/s]

100%|██████████| 4.87M/4.87M [00:00<00:00, 115MB/s]

Downloading...
From: https://open.gishub.org/data/raster/srtm90.tif
To: /home/runner/work/leafmap/leafmap/docs/notebooks/dem.tif

  0%|          | 0.00/16.6M [00:00<?, ?B/s]

100%|██████████| 16.6M/16.6M [00:00<00:00, 226MB/s]

Create an interactive map

In [5]:

m = leafmap.Map()

m = 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 [6]:

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

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

In [7]:

m.add_raster(landsat, bands=[5, 4, 3], layer_name="Landsat")

m.add_raster(landsat, bands=[5, 4, 3], layer_name="Landsat")

Display the map

In [8]:

m

m