32 local tile

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

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

In [1]:

# !pip install leafmap

# !pip install leafmap

In [2]:

# !pip install localtileserver

# !pip install localtileserver

In [3]:

import leafmap

import leafmap

Specify input raster datasets

In [4]:

dem = 'dem.tif'
landsat = 'landsat.tif'

dem = 'dem.tif' landsat = 'landsat.tif'

Download samples raster datasets.

In [5]:

dem_url = (
    'https://drive.google.com/file/d/1vRkAWQYsLWCi6vcTMk8vLxoXMFbdMFn8/view?usp=sharing'
)
leafmap.download_file(dem_url, dem, unzip=False)

dem_url = ( 'https://drive.google.com/file/d/1vRkAWQYsLWCi6vcTMk8vLxoXMFbdMFn8/view?usp=sharing' ) leafmap.download_file(dem_url, dem, unzip=False)

dem.tif already exists. Skip downloading. Set overwrite=True to overwrite.

Out[5]:

'/home/runner/work/leafmap/leafmap/docs/notebooks/dem.tif'

In [6]:

landsat_url = 'https://github.com/giswqs/leafmap/raw/master/examples/data/cog.tif'
leafmap.download_file(landsat_url, landsat, unzip=False)

landsat_url = 'https://github.com/giswqs/leafmap/raw/master/examples/data/cog.tif' leafmap.download_file(landsat_url, landsat, unzip=False)

landsat.tif already exists. Skip downloading. Set overwrite=True to overwrite.

Out[6]:

'/home/runner/work/leafmap/leafmap/docs/notebooks/landsat.tif'

Create an interactive map.

In [7]:

m = leafmap.Map()

m = leafmap.Map()

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

In [8]:

m.add_raster(landsat, band=[4, 3, 2], layer_name="Landsat")

m.add_raster(landsat, band=[4, 3, 2], layer_name="Landsat")

In [9]:

m.add_raster(dem, palette='viridis', layer_name="DEM")

m.add_raster(dem, palette='viridis', layer_name="DEM")

In [10]:

m

m

Out[10]:

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

In [11]:

m = leafmap.Map()

m = leafmap.Map()

In [12]:

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'

In [13]:

m.add_cog_layer(url, name="CA Fire")

m.add_cog_layer(url, name="CA Fire")

In [14]:

m

m

Out[14]:

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Last update: 2023-03-05
Created: 2021-03-10