Data sources & disclaimer

Last updated: October 26, 2026

Scout Logic is not a government app

Scout Logic is an independent application published by Scout Logic, LLC. It is not affiliated with, endorsed by, or operated by any government agency, and it does not provide or facilitate government services.

Public-land boundaries, hunting zones, parcel and ownership records, terrain, water, soil and weather shown in the app are derived from the official public sources listed below. Always confirm season dates, zone boundaries, regulations and property lines with the official agency before you hunt.

Federal — U.S. government

State & local government

Every county, city and parish parcel layer

Each county and local parcel layer the app can show, with its publisher and a link to the publisher’s own page. A parcel’s Source link in the app opens its entry here. Select a state to expand it.

Alabama (2 sources)
Arkansas (7 sources)
Georgia (11 sources)
Illinois (26 sources)
Indiana (10 sources)
Iowa (6 sources)
Kansas (6 sources)
Kentucky (3 sources)
Louisiana (6 sources)
Maine (3 sources)
Michigan (17 sources)
Missouri (5 sources)
Nebraska (4 sources)
New Hampshire (3 sources)
New Mexico (7 sources)
North Dakota (8 sources)
Ohio (13 sources)
Oklahoma (3 sources)
Oregon (5 sources)
Pennsylvania (20 sources)
South Carolina (5 sources)
Utah (6 sources)
Washington (5 sources)
Wyoming (1 source)

Non-U.S. government

Not government sources

Listed separately so nothing here reads as official.

  • Open-Meteo

    Current weather, forecasts outside the U.S. (and when NWS is slow), and historical conditions saved with your photos (CC-BY 4.0)

    https://open-meteo.com
  • OpenAI

    AI photo and video classification. AI results are estimates, not official determinations.

    https://openai.com
  • Google Maps Platform

    Base map imagery in the Google map renderer

    https://www.google.com/maps
  • Google SpeciesNet

    Wildlife species classification that screens trail-camera photos before the AI classifier (run on our own servers). Code and model weights licensed under the Apache License 2.0.

    Gadot, T. et al. (2024). To crop or not to crop: Comparing whole-image and cropped classification on a large dataset of camera trap images. IET Computer Vision. Licensed under the Apache License, Version 2.0 (http://www.apache.org/licenses/LICENSE-2.0); distributed on an "AS IS" basis, without warranties or conditions of any kind.

    https://github.com/google/cameratrapai
  • MegaDetector V6 (Microsoft AI for Good Lab / Pytorch-Wildlife)

    Animal detection in trail-camera photos (run on our own servers).

    Animal detection uses MegaDetector V6 (MDV6-apa-rtdetr) model weights by Microsoft AI for Good Lab / Pytorch-Wildlife, licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Source: https://zenodo.org/records/15398270. The weights are used unmodified. Detector code: RT-DETRv2 reference implementation, Copyright (c) 2023 lyuwenyu, Apache License 2.0.

    https://zenodo.org/records/15398270

Accuracy and use

Federal datasets above are works of the U.S. Government and are in the public domain. State and local datasets are published as open data by the agencies named. Coverage varies by state and county, and some layers carry the publisher’s own vintage, which is shown on the layer where it matters. Parcel and ownership information is a public assessor record shown for reference and is not a legal record of title.

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