CoolEquity
Tree canopy equity

Where would new trees
help residents most?

Satellite surface heat, aerial tree cover, census population and age, home air conditioning and the walk to a cool place, scored for every neighborhood area, then a planting scenario with tree counts and indicative cost.

5study areas
8,435areas ranked
1.6Mresidents
2022aerial tree cover

Independent student project. A planning screen from public data, not a field survey or a validated recommendation. Questions or corrections: coolequity.contact@gmail.com

What is measured, and what is estimated. Surface temperature (Landsat 8/9 thermal) is measured per area. Tree cover starts from the USFS / CAL FIRE 2022 California Urban Tree Canopy, a 0.6 m aerial classification of ground actually under tree crowns. Where that assessment is missing or too partial, a 2009–2020 height model fills in (in the Contra Costa builds rescaled onto the aerial line and checked against the county lidar map, which itself supplies some areas); a satellite greenness index stands in for the last 68 of 8,435 ranked areas. Every area shows its source in the app. The San Ramon, West Contra Costa and Pittsburg & Bay Point maps are finer views inside the county map, so the resident total counts the county and Bakersfield once; the 8,435 ranked areas are records across the five overlapping maps. Population and age are US Census ACS 2020–2024 five-year estimates allocated into areas; air-conditioning access is the Census LACE 2023 tract estimate, weighted zero in San Ramon and Bakersfield where it is near-universal. In Contra Costa County and in Pittsburg & Bay Point surface heat is weighted zero: the county spans marine to Delta, so a hotter area there is mostly a different climate, not a shade problem. Walking time in every build is routed on the OpenStreetMap pedestrian network to mapped libraries, community centers, pools and senior centers, whose hours and cooling status are not verified; the official county cooling directories are listed separately. Tree counts and costs are planning assumptions, not quotes. Every build carries a data & methods guide with sources and limits.
About this site. CoolEquity is an independent student project: an exploratory tool for finding areas worth investigating for shade trees, not a validated recommendation, a project budget or an emergency cooling locator. Current release: September 25, 2026 (each map's briefing and exports carry the data fingerprint).

Privacy. The maps need no account. Field-check notes, shortlists and priorities stay in your own browser and are never uploaded; they leave your computer only inside a file you choose to export. Ordinary use still fetches basemap tiles from a third-party map service, so it is not offline. Page views are counted anonymously (no cookies, no personal data, no cross-site tracking); nothing you type or star on a map is sent anywhere.
Questions, feedback or corrections? coolequity.contact@gmail.com Corrections to place names, facilities and costs are especially welcome.
Landsat 8/9 and Sentinel-2 via Microsoft Planetary Computer · US Census ACS 2020–2024 5-year and LACE 2023 · USFS / CAL FIRE Urban Tree Canopy 2022 · OpenStreetMap contributors · HOLC grades from the University of Richmond Mapping Inequality · tree-cooling coefficient after Krayenhoff et al. (2021) · H3 grid (Uber) · basemap © CARTO. An independent student project; not affiliated with, nor reviewed by, any city. Updated September 25, 2026. Source code.