NumpyTile

NumpyTile¶

Specification: https://github.com/planetlabs/numpytiles-spec

Requirements¶

• mercantile
• numpy

!pip install numpy mercantile

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# Uncomment this line if you need to install the dependencies
# !pip install numpy mercantile

# Uncomment this line if you need to install the dependencies # !pip install numpy mercantile

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import httpx
import mercantile
from io import BytesIO
import numpy

%pylab inline

import httpx import mercantile from io import BytesIO import numpy %pylab inline

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titiler_endpoint = (
    "https://titiler.xyz"  # Developmentseed Demo endpoint. Please be kind.
)
url = "https://opendata.digitalglobe.com/events/mauritius-oil-spill/post-event/2020-08-12/105001001F1B5B00/105001001F1B5B00.tif"

titiler_endpoint = ( "https://titiler.xyz" # Developmentseed Demo endpoint. Please be kind. ) url = "https://opendata.digitalglobe.com/events/mauritius-oil-spill/post-event/2020-08-12/105001001F1B5B00/105001001F1B5B00.tif"

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r = httpx.get(f"{titiler_endpoint}/cog/WebMercatorQuad/tilejson.json?url={url}").json()
print(r)

r = httpx.get(f"{titiler_endpoint}/cog/WebMercatorQuad/tilejson.json?url={url}").json() print(r)

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# Get a list of tiles for minzoom + 2

tiles = list(mercantile.tiles(*r["bounds"], r["minzoom"] + 2))

# Get a list of tiles for minzoom + 2 tiles = list(mercantile.tiles(*r["bounds"], r["minzoom"] + 2))

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# Call TiTiler endpoint using the first tile

tile = tiles[0]
r = httpx.get(
    f"{titiler_endpoint}/cog/tiles/WebMercatorQuad/{tile.z}/{tile.x}/{tile.y}.npy?url={url}"
)

# Call TiTiler endpoint using the first tile tile = tiles[0] r = httpx.get( f"{titiler_endpoint}/cog/tiles/WebMercatorQuad/{tile.z}/{tile.x}/{tile.y}.npy?url={url}" )

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# Load result using numpy.load

arr = numpy.load(BytesIO(r.content))
print(type(arr))
print(arr.shape)

# Load result using numpy.load arr = numpy.load(BytesIO(r.content)) print(type(arr)) print(arr.shape)

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# By default we put the data and the mask in the same array
tile, mask = arr[0:-1], arr[-1]

# By default we put the data and the mask in the same array tile, mask = arr[0:-1], arr[-1]

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print(tile.shape)

print(tile.shape)

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print(mask.shape)

print(mask.shape)

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