The geomorphometry of rainfall-induced landslides in alishan area obtained by airborne lidar and digital photography

Jin King Liu*, Tian-Yuan Shih, Zu Yi Liao, Chi Chung Lau, Pai Hui Hsu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

For understanding the distribution of slope angles, OHM and roughness of the rainfall-induced landslides in Alishan Area of Central Taiwan, a survey was carried out with airborne Lidar and aerial digital camera to obtain DEM and DSM of Im grid and color orthophotos of 50cm grid. DEM, DSM and orthophotos are georeferenced and co-registered. The 106 landslide polygons derived from photointerpretation are used for extracting slopes, OHM and roughness. Results show that the average slope angle of landslides is 41 degrees with a standard deviation of 14 degrees; average OHM is 4.4m with a standard deviation of 6.3m; average roughness is 2.05m with a standard deviation of 2.56m. It is also observed that scale effects are obvious for roughness but not for slope and OHM when the grid is larger than 40m, which is the average dimension of landslides. These morphometric parameters can be further applied in the automation of landslide inventory.

Original languageEnglish
Title of host publication2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Edition1
DOIs
StatePublished - 1 Dec 2008
Event2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States
Duration: 6 Jul 200811 Jul 2008

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Number1
Volume2

Conference

Conference2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Country/TerritoryUnited States
CityBoston, MA
Period6/07/0811/07/08

Keywords

  • Image shape analysis
  • Natural disaster
  • Object recognition
  • Remote sensing

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