Sign inGet started
Paper · arXiv

Spatially explicit feature importance for building height estimation using research-access high-resolution SAR and optical sensors

Accurate building height information at the individual footprint scale is essential for material stock accounting and post-disaster damage assessments yet remains difficult to obtain at city scale in the Global South where airborne LiDAR coverage is rare and commercial very high-resolution imagery is cost-prohibitive or unavailable. While recent works have demonstrated building height estimation using freely available Sentinel imagery, the resolution ceiling of resulting products is still coarse for material stock analysis. This study incorporates products derived from data freely accessible under scientific research licenses, TerraSAR-X StripMap and PlanetScope, alongside Sentinel-1 to p...

AuthorsGuilherme Iablonovski, Pierre-Louis Frison, Tatiana Silva da Silva
Primary categoryphysics.soc-ph
Published18 August 2026
Last updated at source18 August 2026
physics.soc-phcs.LGstat.ML
Embed this entry
<iframe src="https://silytics.si/embed/item/ddeea882-5d9c-4294-a3b4-ad5f6f82696a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.