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Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data

Research article (Natural hazards and earth system sciences, 2023) · cited 33× · AI/ML
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Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data

Summary

Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data is a scholarly article[1].

Key Facts

  • Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-principal-component-analysis-to-incorporate-multi-layer-soil-moisture-information-in-hydrometeorological-threshold
MLA “Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-principal-component-analysis-to-incorporate-multi-layer-soil-moisture-information-in-hydrometeorological-threshold.
BibTeX @misc{4ortxyz_using-principal-component-analysis-to-incorporate-multi-layer-soil-moisture-information-in-hydrometeorological-threshold_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data}}, year = {2026}, url = {https://4ort.xyz/entity/using-principal-component-analysis-to-incorporate-multi-layer-soil-moisture-information-in-hydrometeorological-threshold}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data — https://4ort.xyz/entity/using-principal-component-analysis-to-incorporate-multi-layer-soil-moisture-information-in-hydrometeorological-threshold (retrieved 2026-05-24)

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