Document Type

Article

Publication Date

2025

DOI

10.3390/data10010010

Publication Title

Data

Volume

10

Issue

1

Pages

10 (1-12)

Abstract

Grid-cell data are increasingly used in research due to the growing availability and accessibility of remote sensing products. However, grid-cell data often fails to represent the actual decision-making unit, leading to biased estimates in socio-economic analysis. To this end, this paper presents a comprehensive parcel-level dataset for Salt Lake County, Utah, spanning from 2008 to 2018. This dataset combines detailed spatial and temporal data on land ownership, land use, and preferential farmland tax assessments under the Greenbelt program. Compiled from multiple geospatial sources, the dataset includes nearly 200,000 parcel-year observations, providing valuable insights into landowner decision-making and the impact of tax abatement incentives at the decision-making level. This resource is beneficial for researchers, educators, and practitioners in sustainable development, environmental studies, and farmland conservation.

Comments

© 2025 by the authors.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) License.

Data availability statement: Article states: "The original data presented in the study are openly available in Mendeley Data at https://data.mendeley.com/datasets/h8gwx4r2bn/1 or https://doi.org/10.17632/h8gwx4r2bn.1 (accessed on 11 June 2024)."

Original Publication Citation

Siu, W. Y., Li, M., & Caplan, A. J. (2025). A comprehensive parcel-level dataset on farmland assessment: Addressing grid-cell data bias estimation. Data, 10(1), 1-12, Article 10. https://doi.org/10.3390/data10010010

ORCID

0000-0003-2001-5317 (Siu)

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