A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data

Research article (Landslides, 2018) · cited 61× · AI/ML
Press Enter · cited answer in seconds

A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data

Summary

A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data is a scholarly article[1].

Key Facts

  • A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-model-using-machine-learning-methods-and-gis-for-potential-rockfall-source-identification-from-airborne-laser-s
MLA “A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-model-using-machine-learning-methods-and-gis-for-potential-rockfall-source-identification-from-airborne-laser-s.
BibTeX @misc{4ortxyz_a-hybrid-model-using-machine-learning-methods-and-gis-for-potential-rockfall-source-identification-from-airborne-laser-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-model-using-machine-learning-methods-and-gis-for-potential-rockfall-source-identification-from-airborne-laser-s}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data — https://4ort.xyz/entity/a-hybrid-model-using-machine-learning-methods-and-gis-for-potential-rockfall-source-identification-from-airborne-laser-s (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-hybrid-model-using-machine-learning-methods-and-gis-for-potential-rockfall-source-identification-from-airborne-laser-s · Last refreshed: