Work

Thematic agreement assessment of gridded, multi-modal geospatial datasets of different semantics and spatial granularities

Year: 2024

Type: preprint

Abstract: This paper presents a method for thematic agreement assessment of geospatial data products of different semantics and spatial granularities, which may be affected by spatial offsets between test and reference data. The proposed method uses a multi-scale framework allowing for a probabilistic evaluation whether thematic disagreement between datasets is induced by spatial offsets due to different nature of the datasets or not. We test our method using real-estate derived settlement locations and remote-sensing derived building footprint data.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2403.00161

Authors: Uhl, Johannes H., Leyk, Stefan

Institution: University of Colorado Boulder

Language: English

Topic: Automated Road and Building Extraction

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, National Institutes of Health, University of Colorado Boulder, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: The Creeping Disaster along the Coast: Built Environment, Coastal Communities and Population Vulnerability to Sea Level Rise, University of Colorado Population Center

OpenAlex ID: W4392425944

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