Heat and trees¶
In this notebook we'll be exploring the urban heat island effect by looking at the impact on surface temperature of roof color and street trees. We'll be replicating the process described here: http://urbanspatialanalysis.com/urban-heat-islands-street-trees-in-philadelphia/ but using Python tools rather than ESRI.
Extra packages: To run this notebook, you'll need the PyViz tools and a library of top of atmosphere calculations from
pip install rio-toa
Data sources: This notebook uses Landsat data from Google Cloud Storage as well as some geographic data from OpenDataPhilly.
import intake import xarray as xr import pandas as pd import numpy as np import geopandas as gpd import cartopy.crs as ccrs import hvplot.xarray # noqa import hvplot.pandas # noqa from geoviews.tile_sources import EsriImagery