Stories

A new process-based tool, SWMM-Canopy, models how urban trees reduce stormwater runoff and, applied in a California case study, lets planners evaluate the hydrologic and economic …

A national analysis of 65,406 U.S. schools finds that nature access (measured by NatureScore™) is unequally distributed, with lower scores at schools serving more economically dis…

A machine-learning study across nine U.S. cities in different climate zones finds that urban tree canopy consistently lowers land surface temperature, but the spatial configuratio…

Interviews with urban foresters in San Francisco and Seattle reveal how each city pursues environmental justice differently (San Francisco emphasizing distributional justice, Seat…

This report provides the City of Lakewood with an urban forestry program implementation guide to meet its 2021 climate plan goals of expanding tree canopy cover from 26% to 40% by…

A framework combining census, satellite, and derived data identifies suitable urban afforestation sites in California, finding room for 36 million additional trees that could cut …

Chronicle analysis of Oakland's urban tree canopy using EarthDefine data, examining where trees are concentrated and which neighborhoods lack adequate cover.

Methodology behind the NYT's interactive 'Where Should You Live?' quiz. Cites EarthDefine tree canopy data as one of 35 criteria used to score and rank U.S. cities and towns.

A beautifully illustrated opinion piece using EarthDefine's tree canopy data. Shows disparities across the U.S.: wealthier, whiter neighborhoods have far more tree canopy than low…

PlanIT Geo and EarthDefine announce a partnership combining TreePlotter CANOPY software with EarthDefine's nationwide high-resolution tree canopy data into a Canopy as a Service o…

In-depth feature on how EarthDefine uses LiDAR, AI, and 60cm aerial imagery to build and update its 156M+ building footprint database, refreshed twice yearly across the continenta…

Chronicle investigation into San Francisco's 669,000 trees using EarthDefine canopy data. Finds tree cover closely tracks neighborhood wealth, with affluent areas far greener than…

EarthDefine announces its US Tree Map: 550M+ acres of tree cover mapped at 900x the resolution of prior national datasets, using AI to process 120TB of aerial imagery.

A deep learning method (DeepLabV3+) classifies trees, shrubs, and grass from RGB images alone, with median frequency weighting improving accuracy for underrepresented classes like…

Fine-resolution WRF modeling combined with car-mounted mobile temperature measurements in Los Angeles shows that increasing surface albedo and tree canopy cover delivers significa…

EarthDefine maps New Jersey and Virginia trees at 1m resolution, finding NJ has 54.9% tree canopy, significantly higher than prior estimates. Extends EarthDefine's growing state c…

EarthDefine releases comprehensive 1m-resolution tree canopy datasets for Ohio and Pennsylvania, using terabytes of infrared imagery and LiDAR to map all trees and canopy heights …

EarthDefine maps Minnesota's trees at 1m resolution with 98% accuracy, 30x sharper than existing state datasets, and publishes an interactive per-capita tree cover map for all MN …

EarthDefine releases a statewide 1m-resolution tree canopy dataset for California, built on color infrared imagery and LiDAR, supporting urban forestry and wildfire risk applicati…

This collaborative report by UC Davis, the USDA Forest Service, and CAL FIRE assesses the current status of urban tree canopy and its benefits across California, while identifying…

Geospatial World covers EarthDefine's Ohio and Pennsylvania tree canopy datasets, highlighting the 1m resolution and 95%+ accuracy that bridges gaps in national land cover databas…

USDA Forest Service Region 5 resource page on California's urban tree canopy, featuring EarthDefine data to support state and local forestry planning efforts.