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(Article of periodic en Anglais - 2013)

Document title

Application of a multi-temporal, LiDAR-derived, digital terrain model in a landslide-volume estimation

Authors(s) and Affiliation(s)

TSENG C.-M. (1) ; LIN C.-W. (2) ; STARK C.P. (3) ; LIU J.-K. (4) ; FEI L.-Y. (5) ; HSIEH Y.-C. (5) ;
(1) Dept. of Land Management and Development, Chang Jung Christian Univ., Tainan City, TAIWAN, PROVINCE DE CHINE
(2) Dept. of Earth Sciences, National Cheng Kung Univ., Tainan City, TAIWAN, PROVINCE DE CHINE
(3) Lamont Doherty Earth Observatory, Columbia Univ., New York, ETATS-UNIS
(4) LiDAR Technology, Zhubei City, TAIWAN, PROVINCE DE CHINE
(5) Environmental & Engineering Geology Division, Central Geological Survey, MOEA, New Taipei City, TAIWAN, PROVINCE DE CHINE

Abstract

This paper uses a LiDAR-derived digital terrain model (DTM) taken in 2005 and 2010 (at 2 m resolution) to accurately obtain landslide-induced sediment volumes that resulted from a single catastrophic typhoon event in a heavily forested mountainous area of Taiwan. The landslides induced by Typhoon Morakot are mapped by comparison of 25 cm resolution aerial photographs taken before and after the typhoon in an 83.6 km2 study area. Each landslide volume is calculated by subtraction of the 2005 DTM from the 2010 DTM, and the scaling relationship between landslide area and its volume are further regressed. The uncertainty in estimated volume caused by use of the LiDAR DTMs is discussed, and also the error in absolute volume estimation for landslides in a small area. The volume–area relationship obtained in this study is also validated in 11 small to medium-sized catchments located outside the study area, and there is good agreement between the calculation from DTMs and the regression formula

Source

Article of periodic

published at : Earth surface processes and landforms / ISSN 0197-9337 / CODEN ESPLDB

Editor : Wiley, Chichester - ROYAUME-UNI (1981)

Millesime : 2013, vol. 38, no13 [pp. 1587-1601]

Bibliographic references : 2 p.

Collation : 13 fig., 2 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.3454

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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