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Articles | Volume XLVIII-4/W7-2023
https://doi.org/10.5194/isprs-archives-XLVIII-4-W7-2023-47-2023
https://doi.org/10.5194/isprs-archives-XLVIII-4-W7-2023-47-2023
22 Jun 2023
 | 22 Jun 2023

TOWARDS A PAN-EU BUILDING FOOTPRINT MAP BASED ON THE HIERARCHICAL CONFLATION OF OPEN DATASETS: THE DIGITAL BUILDING STOCK MODEL - DBSM

P. Florio, C. Giovando, K. Goch, M. Pesaresi, P. Politis, and A. Martinez

Keywords: building footprints, built-up, satellite imagery, open data, open maps, pan-EU maps, energy transition

Abstract. This paper presents a hierarchical conflation process applied to open datasets for the creation of a seamless pan-European map of building footprints in vector format, named Digital Building Stock Model – DBSM. The objective is the sequential addition of input components (which currently include OpenStreetMap, Microsoft GlobalML Building Footprints, European Settlement Map), taking into account their limitations, and aiming at the highest level of completeness possible, for planning and evaluating energy transition scenarios at the EU level. The results indicate how DBSM compares robustly against cadastral data from Estonia, used as reference area. The comparison of DBSM with GHS-BUILT-S, a 10 metres resolution grid with worldwide coverage that encodes the built-up surface in each pixel as derived from Sentinel-2 imagery for the year 2018, reveals a relative overestimation of the latter, factored by 0.68 at the EU scale for a sound match.