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Debris flow susceptibility mapping in mountainous area based on multi-source data fusion and CNN model – taking Nujiang Prefecture, China as an example
Research article (International Journal of Digital Earth, 2022) · cited 17× · AI/ML
Debris flow susceptibility mapping in mountainous area based on multi-source data fusion and CNN model – taking Nujiang Prefecture, China as an example
Summary
Debris flow susceptibility mapping in mountainous area based on multi-source data fusion and CNN model – taking Nujiang Prefecture, China as an example is a scholarly article[1].
Key Facts
Debris flow susceptibility mapping in mountainous area based on multi-source data fusion and CNN model – taking Nujiang Prefecture, China as an example's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Debris flow susceptibility mapping in mountainous area based on multi-source data fusion and CNN model – taking Nujiang Prefecture, China as an example. Retrieved May 24, 2026, from https://4ort.xyz/entity/debris-flow-susceptibility-mapping-in-mountainous-area-based-on-multi-source-data-fusion-and-cnn-model-taking-nujiang-pr
MLA“Debris flow susceptibility mapping in mountainous area based on multi-source data fusion and CNN model – taking Nujiang Prefecture, China as an example.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/debris-flow-susceptibility-mapping-in-mountainous-area-based-on-multi-source-data-fusion-and-cnn-model-taking-nujiang-pr.
BibTeX@misc{4ortxyz_debris-flow-susceptibility-mapping-in-mountainous-area-based-on-multi-source-data-fusion-and-cnn-model-taking-nujiang-pr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Debris flow susceptibility mapping in mountainous area based on multi-source data fusion and CNN model – taking Nujiang Prefecture, China as an example}}, year = {2026}, url = {https://4ort.xyz/entity/debris-flow-susceptibility-mapping-in-mountainous-area-based-on-multi-source-data-fusion-and-cnn-model-taking-nujiang-pr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Debris flow susceptibility mapping in mountainous area based on multi-source data fusion and CNN model – taking Nujiang Prefecture, China as an example — https://4ort.xyz/entity/debris-flow-susceptibility-mapping-in-mountainous-area-based-on-multi-source-data-fusion-and-cnn-model-taking-nujiang-pr (retrieved 2026-05-24)
