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arXiv · 2306.00246

Fine-Grained Property Value Assessment using Probabilistic Disaggregation

Cohen Archbold·Benjamin Brodie·Aram Ansary Ogholbake·Nathan Jacobs
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Abstract

The monetary value of a given piece of real estate, a parcel, is often readily available from a geographic information system. However, for many applications, such as insurance and urban planning, it is useful to have estimates of property value at much higher spatial resolutions. We propose a method to estimate the distribution over property value at the pixel level from remote sensing imagery. We evaluate on a real-world dataset of a major urban area. Our results show that the proposed approaches are capable of generating fine-level estimates of property values, significantly improving upon a diverse collection of baseline approaches.

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Cohen Archbold, Benjamin Brodie, Aram Ansary Ogholbake, Nathan Jacobs. 2023-05-31. Fine-Grained Property Value Assessment using Probabilistic Disaggregation. https://arxiv.org/abs/2306.00246

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