Integrating insar information and spatial-temporal factors in machine learning analysis for landslide prediction – a case study for provincial highway 18 area in taiwan

HIGHLIGHTS

• who: Y. K. Chen et al. from the XXIV ISPRS Congress (, edition), June, Nice, France have published the Article: INTEGRATING INSAR INFORMATION AND SPATIAL-TEMPORAL FACTORS IN MACHINE LEARNING ANALYSIS FOR LANDSLIDE PREDICTION - A CASE STUDY FOR PROVINCIAL HIGHWAY 18 AREA IN TAIWAN, in the Journal: (JOURNAL) of 20/09/2020
• what: To solve this problem, this research explores the use of time series phase values measured by SAR interferometric techniques (InSAR) to obtain large-scale ground deformation information, i.e. the slope movement characteristics. The aim of correlation analysis is to understand the statistical . . .
  

   

  

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