TreeGuy.ai

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TreeGuy.ai

23,159 trees. Every one counted.

23,159
Trees Inventoried
5
Sites
400+
Species
340+
Survey Days

Surveyed Sites

Each tree individually identified to species, geolocated via GPS, and assessed for diameter, height, estimated age, condition, and native range status.

University of Richmond

Richmond, Virginia
10,449
Trees
2.4
Avg Cond.
Surveyed: 2021–2025
Most common: loblolly pine (2,014)

Carnegie Mellon University

Pittsburgh, Pennsylvania
7,024
Trees
1.9
Avg Cond.
Surveyed: 2019–2020
Most common: anglojap yew (553)

University of Pittsburgh

Pittsburgh, Pennsylvania
2,801
Trees
2.5
Avg Cond.
Surveyed: 2018–2019
Most common: honey locust (232)

Robert Morris University

Moon Township, Pennsylvania
1,873
Trees
2.0
Avg Cond.
Surveyed: 2019
Most common: red sunset maple (191)

Quicksilver Golf Club

Midway, Pennsylvania
1,012
Trees
3.0
Avg Cond.
Most common: white pine (270)

What You Can Do

Every tree is on the map and in the table: searchable, filterable, and exportable.

🗺

Interactive Map

All 23,159 trees on satellite imagery or a street map, clustered until you zoom in. Click any tree for its species, size, condition and notes.

🎨

Color by What Matters

Color the trees by condition, site, native status, or trunk size, with a legend to match. Click a site's card to fly straight to it.

🔍

Search

Search by common name, Latin name, or tree number, on the map or in the table. Find every oak on campus in a few keystrokes.

⚙️

Filters

Narrow to a site or a condition, or to a range of trunk diameter, height, or estimated age. Native status on the map; trees or shrubs in the table.

📋

Sortable Table

The explorer lists every tree, 100 to a page, with its condition notes and field notes. Sort by any column.

📥

Export to CSV

Download exactly what you've filtered as a CSV file, ready for a spreadsheet.

About This Project

Tom Eliseuson standing in front of a large tree

TreeGuy.ai is the work of Tom Eliseuson — a retired geophysicist and former supercomputer sales executive who turned a retirement hobby into one of the most comprehensive independent arboricultural inventories in the region.

Every tree in this database was individually visited, identified to species (with Latin nomenclature), measured for trunk diameter and height, assessed for condition, classified by native range status, and geolocated via GPS. The work spans five sites across Pennsylvania and Virginia, totaling over 23,000 trees and 400+ species — including 253 heritage trees over a century old.

Press & Recognition

🏆

2023 Sustainability Leadership Award

Tom Eliseuson was recognized by the University of Richmond for his volunteer work in the Spatial Analysis Lab with the UR Campus Tree Mapping Project, leading to the addition of 2,175 trees and counting to the inventory database. With a professional background as a geophysicist, Tom has also helped inventory trees at the University of Minnesota, the University of Pittsburgh, and Carnegie Mellon University.