65 sagemaker

Install packages¶

Uncomment the following code blocks to install GDAL, leafmap, and localtileserver on SageMaker Studio Lab.

In [1]:

# %pip install --find-links=https://girder.github.io/large_image_wheels --no-cache GDAL

# %pip install --find-links=https://girder.github.io/large_image_wheels --no-cache GDAL

In [2]:

# pip install leafmap localtileserver matplotlib==3.6.3 folium==0.13.0

# pip install leafmap localtileserver matplotlib==3.6.3 folium==0.13.0

Restart the kernel after installing the packages.

Import libraries¶

ipyleaflet currently does not work on SageMAker Studio Lab. See this issue. We can use the folium plotting backend instead.

In [3]:

import leafmap.foliumap as leafmap

import leafmap.foliumap as leafmap

Visualize local raster data¶

Download a sample raster dataset.

In [4]:

url = "https://opengeos.org/data/raster/srtm90.tif"
leafmap.download_file(url, "dem.tif")

url = "https://opengeos.org/data/raster/srtm90.tif" leafmap.download_file(url, "dem.tif")

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

Out[4]:

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

Create an interactive map.

In [5]:

m = leafmap.Map()
m.add_raster("dem.tif", palette="terrain", layer_name="Local Raster")
m

m = leafmap.Map() m.add_raster("dem.tif", palette="terrain", layer_name="Local Raster") m

Out[5]:

Create a split-view map.

In [6]:

m = leafmap.Map()
m.split_map(
    left_layer="dem.tif", right_layer="dem.tif", right_args={"palette": "terrain"}
)
m

m = leafmap.Map() m.split_map( left_layer="dem.tif", right_layer="dem.tif", right_args={"palette": "terrain"} ) m

Out[6]:

Visualize Cloud Optimized GeoTIFF (COG)¶

In [7]:

m = leafmap.Map()
url = "https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif"
m.add_cog_layer(url, name="COG")
m

m = leafmap.Map() url = "https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif" m.add_cog_layer(url, name="COG") m

Out[7]:

In [8]:

m = leafmap.Map()
url = "https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif"
url2 = "https://github.com/opengeos/data/releases/download/raster/Libya-2023-09-13.tif"
m.split_map(left_layer=url, right_layer=url2)
m

m = leafmap.Map() url = "https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif" url2 = "https://github.com/opengeos/data/releases/download/raster/Libya-2023-09-13.tif" m.split_map(left_layer=url, right_layer=url2) m

Out[8]:

Visualize SpatioTemporal Asset Catalog (STAC) Items¶

In [9]:

m = leafmap.Map()
url = "https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json"
m.add_stac_layer(url, bands=["pan"], name="Panchromatic")
m.add_stac_layer(url, bands=["B3", "B2", "B1"], name="False color")
m

m = leafmap.Map() url = "https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json" m.add_stac_layer(url, bands=["pan"], name="Panchromatic") m.add_stac_layer(url, bands=["B3", "B2", "B1"], name="False color") m

Out[9]: