Random forest model map of log yards for the conterminous United States, 2019-2021

Principal Investigator(s):  View help for Principal Investigator(s) US Department of Agriculture; US Forest Service

Version:  View help for Version V1

Name File Type Size Last Modified
RDS-2026-0023.zip application/zip 218 KB 05/26/2026 01:15:PM
RDS-2026-0023_Metadata_Fileindex.zip application/zip 12.3 KB 05/26/2026 01:15:PM
catalog_detail.pdf application/pdf 120.4 KB 05/26/2026 01:33:PM
file_index.pdf application/pdf 65.3 KB 05/26/2026 01:15:PM
metadata.pdf application/pdf 156 KB 05/26/2026 01:15:PM

Project Citation: 

US Department of Agriculture, and US Forest Service. Random forest model map of log yards for the conterminous United States, 2019-2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-05-30. https://doi.org/10.3886/E248578V1

Project Description

Project Title:  View help for Project Title Random forest model map of log yards for the conterminous United States, 2019-2021
Summary:  View help for Summary This data publication includes a vector digital map (shapefile) of 1,787 random forest model detected log yards across the conterminous United States (CONUS). The model was trained on National Agriculture Imagery Program (NAIP) embeddings from 2019 to 2021. This map contains point locations for the log yards which can be used to predict forest product mill locations.
Original Distribution URL:  View help for Original Distribution URL https://www.fs.usda.gov/rds/archive/catalog/RDS-2026-0023

Scope of Project

Subject Terms:  View help for Subject Terms economy; location; Forest Products; Inventory; Monitoring; Analysis; Natural Resource Management & Use; Economics; log yards; random forest; conterminous United States; CONUS
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 2019 – 2021
Data Type(s):  View help for Data Type(s) geographic information system (GIS) data
Collection Notes:  View help for Collection Notes DOI: https://doi.org/10.2737/RDS-2026-0023 Authors: Ritz, Alison L. ; Henderson, Jesse D. Publication year: 2026 (Downloaded 2026-05-26)


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V1 [2026-05-30]

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