Public Data, Private Insight
Every piece of data TALON uses is publicly available. Every source is free. There is no proprietary dataset, no exclusive license, no data that requires special access to obtain.
County parcel boundaries and tax records: published by county assessor offices, downloadable as GIS layers. Ownership records and sales history: public record, maintained by county clerks. USGS 3DEP LiDAR: freely available from the national map, covering most of the continental US. NLCD land cover: published by the Multi-Resolution Land Characteristics Consortium. FEMA flood maps: public. USGS elevation models: public. Road networks: public.
If you wanted to, you could download all of this yourself. Every dataset TALON uses, from every source, is sitting on a government server waiting for anyone to grab it.
So what’s the point?
The Gap Between Available and Accessible
There’s a difference between data being available and data being useful. The 3DEP LiDAR archive contains billions of points covering millions of acres. It’s stored in LAZ files organized by survey tile, in projected coordinate systems that vary by state, with classification codes that require domain knowledge to interpret.
To answer the question “how tall are the trees on parcel 42-A-5 in Albemarle County?” you would need to:
- Find the parcel boundary in the county GIS data
- Determine which LiDAR tiles intersect that parcel
- Download those tiles (each one hundreds of megabytes)
- Filter to points within the parcel boundary
- Separate ground returns from vegetation returns
- Build a ground surface model
- Compute canopy height as the difference between vegetation returns and ground surface
- Summarize the results meaningfully
That’s a few hours of work for someone who knows what they’re doing. For someone who doesn’t, it’s a brick wall. And it answers one question about one parcel.
TALON runs that pipeline across every parcel in the coverage area and makes the results searchable. The canopy height of parcel 42-A-5 isn’t a weekend project — it’s a number in a database, already computed, comparable to every other parcel in the county.
Combination Is the Insight
Any individual data layer is moderately useful on its own. County tax records tell you assessment and ownership. Elevation data tells you slope. LiDAR tells you canopy height. Flood maps tell you risk zones.
The value appears when you combine them.
“Show me parcels where the timber value estimate exceeds the county’s land assessment.” That requires LiDAR-derived canopy height, allometric models for timber volume, regional stumpage pricing, and county assessment records — four data sources, three processing pipelines, and a query that joins them all.
“Find parcels with south-facing gentle slopes, mature hardwood canopy, and below-average assessment per acre.” That’s elevation data (slope and aspect), LiDAR (canopy height), land cover (forest type), and tax records (assessment) — combined into a single query that surfaces properties matching a specific investment thesis.
No individual dataset answers these questions. The combination does. And nobody else is making these combinations queryable at parcel scale.
The Government Already Paid for It
There’s something worth sitting with here. The federal government has spent billions of dollars flying LiDAR surveys, publishing elevation models, classifying land cover, mapping flood zones, and making all of it freely available. State and county governments maintain parcel records, assessment databases, and GIS layers — and publish them for public access.
This investment was made so that the data would be used. Not just by researchers and government agencies, but by anyone who needs to understand the land.
For most of the history of these programs, “anyone who needs to understand the land” has meant professionals with GIS software, domain expertise, and the time to pull datasets together manually. The farmer looking at a neighboring parcel doesn’t have access to the same analysis as a timber company with a GIS department.
TALON closes that gap. The same public data, the same analytical pipelines, the same questions — available to anyone evaluating a piece of rural land, without needing to know what a LAZ file is or how to compute a canopy height model.
No Secrets. Just Questions.
The data isn’t secret. The analysis isn’t secret. The algorithms are well-established in remote sensing and forestry literature. Nothing TALON does is proprietary in concept.
What’s new is doing it at scale, for every parcel, and making it searchable. The insight isn’t in any individual piece of data — it’s in asking questions that span multiple datasets, at parcel resolution, across an entire county.
The county tells you the boundary and the tax bill. The USGS tells you the elevation and the canopy height. The NLCD tells you the land cover. FEMA tells you the flood risk. Each one answers its own narrow question.
TALON asks all the questions at once and lets you search the answers. The data was always public. The insight just needed someone to assemble it.