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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
A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data is a scholarly article[1].
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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].
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APA4ort.xyz Knowledge Graph. (2026). A hybrid model using machine learning methods and GIS for potential rockfall source identification from airborne laser scanning data. Retrieved October 18, 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, 18 Oct. 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: 2026-10-18}}
LLM promptAccording 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 2026-10-18)
