Thematic agreement assessment of gridded, multi-modal geospatial datasets of different semantics and spatial granularities
arxiv(2024)
摘要
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.
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