Evaluation of Remotely Sensed Soil Moisture for Landslide Hazard Assessment

Lu Zhuo*, Qiang Dai, Dawei Han, Ningsheng Chen, Binru Zhao, Matteo Berti

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

11 Citations (Scopus)

Abstract

Soil moisture is important in the triggering of many types of landslides. However, in situ soil moisture data are rarely available in hazardous zones. The advanced remote sensing technology could provide useful soil moisture information. In this study, an assessment has been carried out between the latest version of the European Space Agency Climate Change Initiative soil moisture product and the landslide events in a northern Italian region in the 14-year period 2002-2015. A clear correlation has been found between the satellite soil moisture and the landslide events, as over four-fifths of events had soil wetness conditions above the 50% regional soil moisture line. Attempts have also been made to explore the soil moisture thresholds for landslide occurrences under different environmental conditions (land cover, soil type, and slope). The results showed slope distribution could provide a rather distinct separation of the soil moisture thresholds, with thresholds becoming smaller for steeper areas, indicating dryer soil condition could trigger landslides at hilly areas than in plain areas. The thresholds validation procedure is then carried out. Forty five rainfall events between 2014 and 2015 are used as test cases. Contingency tables, statistical indicators, and receiver operating characteristic analysis for thresholds under different exceedance probabilities (1%-50%) are explored. The results have shown that the thresholds using 30% exceedance probability provide the best performance with the hitting rate at 0.92 and the false alarm at 0.50. We expect this study can provide useful information for adopting the remotely sensed soil moisture in the landslide early warnings.

Original languageEnglish
Article number8620663
Pages (from-to)162-173
Number of pages12
JournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume12
Issue number1
Early online date21 Jan 2019
DOIs
Publication statusPublished - Jan 2019

Keywords

  • Emilia Romagna
  • European Space Agency (ESA) Climate Change Initiative (CCI) v04.2
  • landslide
  • natural hazards
  • satellite remote sensing
  • soil moisture

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