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Satellite Remote Sensing Applied to Landslide Susceptibility in the Andean Cordillera (33°27'–33°55' S)

  • Alejandro Montenegro,
  • Pierre-Yves Descote,
  • José Manuel Lattus,
  • Luis F. Robledo,
  • Gustavo Gattica,
  • Xaviera Palma,
  • Sergio Carvajal,
  • Ivo Fustos,
  • Mauricio Calderón,
  • Wen Nie,
  • Wenbin Jian,
  • Jean-Baptiste Gressier

摘要

The availability of remotely sensed data sources makes it possible to generate large-scale studies efficiently, accurately, and geographically scalable. Considering the remote sensing benefits and scope, we propose a methodology that integrates critical variables for a landslide susceptibility map preparation with an accurate hazard assessment in large areas. As a result, different areas prone to landslides are identified with precision in an efficient, safe, and accessible way through susceptibility map preparation.