The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3/W8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W8, 103–108, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W8-103-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W8, 103–108, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W8-103-2019

  20 Aug 2019

20 Aug 2019

AN OBJECT-BASED APPROACH FOR MONITORING THE EVOLUTION OF LANDSLIDE-DAMMED LAKES AND DETECTING TRIGGERING LANDSLIDES IN TAIWAN

Z. Dabiri1, D. Hölbling1, L. Abad1, G. Prasicek2,3, A.-L. Argentin2, and T.-T. Tsai4 Z. Dabiri et al.
  • 1Department of Geoinformatics - Z_GIS, University of Salzburg, 5020 Salzburg, Austria
  • 2Department of Geography and Geology, University of Salzburg, 5020 Salzburg, Austria
  • 3Center for Interdisciplinary Mountain Research, University of Lausanne, 1967 Bramois, Switzerland
  • 4Disaster Prevention Education Center, National Cheng Kung University, Tainan City 701, Taiwan (R.O.C.)

Keywords: Landslides, Landslide-Dammed Lakes, Remote Sensing, Object-Based Image Analysis (OBIA), Taiwan

Abstract. In August 2009, Typhoon Morakot caused a record-breaking rainfall in Taiwan. The heavy rainfall triggered thousands of landslides, in particular in the central-southern part of the island. Large landslides can block rivers and can lead to the formation of landslide-dammed lakes. Cascading hazards like floods and debris flows after landslide dam breaches pose a high risk for people and infrastructure downstream. Thus, better knowledge about landslides that significantly impact the channel system and about the resulting landslide-dammed lakes are key elements for assessing the direct and indirect hazards caused by the moving mass. The main objectives of this study are 1) to develop an object-based image analysis (OBIA) approach for semi-automated detection of landslides that caused the formation of landslide-dammed lakes and 2) to monitor the evolution of landslide-dammed lakes based on Landsat imagery. For landslide and lake mapping, primarily spectral indices and contextual information were used. By integrating morphological and hydrological parameters derived from a digital elevation model (DEM) into the OBIA framework, we automatically identified landslide-dammed lakes, and the landslides that likely caused the formation of those lakes, due to the input of large amounts of debris into the channel system. The proposed approach can be adapted to other remote sensing platforms and can be used to monitor the evolution of landslide-dammed lakes and triggering landslides at regional scale after typhoon and heavy rainstorm events within an efficient time range after suitable remote sensing data has been provided.