Building damage assessment of Adassil, Morocco after 2023 Marrakesh–Safi earthquake

{"references": ["Wu, Q., & Osco, L. (2023). samgeo: A Python package for segmenting geospatial data with the Segment Anything Model (SAM). Journal of Open Source Software, 8(89), 5663, https://doi.org/10.21105/joss.05663", "W. Sirko, S. Kashubin, M. Ritter, A. Annkah, Y.S.E. Bouchareb, Y. Dauphin, D. Keysers, M. Neumann, M. Cisse, J.A. Quinn. Continental-scale building detection from high resolution satellite imagery. arXiv:2107.12283, 2021."]}

The dataset contains shapefile of damaged and non damaged buildings of Adassil town, Chichaoua Province of the Marrakesh-Safi region of Morocco. The dataset has been created using openly available google buildings dataset, humanitarian open street data, MAXAR satellite data and segment-geospatial package.

PS: This is just a rapid assessment of the damaged caused by earthquake.

Keywords

MoroccoEarthquake

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average