Landslides volumetric estimation by using LiDAR data and Sediment Production Rate method

Ming Chee Wu; Mon Shieh Yang; Huang Chen Liu; Jin King Liu

doi:10.1109/IGARSS.2012.6352701

Landslides volumetric estimation by using LiDAR data and Sediment Production Rate method

Ming Chee Wu, Mon Shieh Yang, Huang Chen Liu, Jin King Liu

Department of Earth Sciences

Research output: Contribution to conference › Paper › peer-review

Abstract

LiDAR DEM (Digital Elevation Model) data of two different periods, before and after a heavy rain event, were acquired to specify the exact boundary of the mass been moved, and to calculate the variations of ground elevation by using the DEM values for each photometric cellular element. With the modified Sediment Production Rate (SPR) equation, volumes of the mass wasted were as well being estimated. In addition, with the aids of spatial analysis tools of Geographic Information System (GIS), details of the landslide were well enhanced; such that, the magnitude and the peripheral extent of the landslide were characterized.

Original language	English
Pages	6305-6308
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6352701
Publication status	Published - 2012
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 2012 Jul 22 → 2012 Jul 27

Other

Other	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	12-07-22 → 12-07-27

All Science Journal Classification (ASJC) codes

Computer Science Applications
General Earth and Planetary Sciences

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10.1109/IGARSS.2012.6352701

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@conference{93b07e685ed14805a554abc705eedc5b,

title = "Landslides volumetric estimation by using LiDAR data and Sediment Production Rate method",

abstract = "LiDAR DEM (Digital Elevation Model) data of two different periods, before and after a heavy rain event, were acquired to specify the exact boundary of the mass been moved, and to calculate the variations of ground elevation by using the DEM values for each photometric cellular element. With the modified Sediment Production Rate (SPR) equation, volumes of the mass wasted were as well being estimated. In addition, with the aids of spatial analysis tools of Geographic Information System (GIS), details of the landslide were well enhanced; such that, the magnitude and the peripheral extent of the landslide were characterized.",

author = "Wu, {Ming Chee} and Yang, {Mon Shieh} and Liu, {Huang Chen} and Liu, {Jin King}",

year = "2012",

doi = "10.1109/IGARSS.2012.6352701",

language = "English",

pages = "6305--6308",

note = "2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

}

TY - CONF

T1 - Landslides volumetric estimation by using LiDAR data and Sediment Production Rate method

AU - Wu, Ming Chee

AU - Yang, Mon Shieh

AU - Liu, Huang Chen

AU - Liu, Jin King

PY - 2012

Y1 - 2012

N2 - LiDAR DEM (Digital Elevation Model) data of two different periods, before and after a heavy rain event, were acquired to specify the exact boundary of the mass been moved, and to calculate the variations of ground elevation by using the DEM values for each photometric cellular element. With the modified Sediment Production Rate (SPR) equation, volumes of the mass wasted were as well being estimated. In addition, with the aids of spatial analysis tools of Geographic Information System (GIS), details of the landslide were well enhanced; such that, the magnitude and the peripheral extent of the landslide were characterized.

AB - LiDAR DEM (Digital Elevation Model) data of two different periods, before and after a heavy rain event, were acquired to specify the exact boundary of the mass been moved, and to calculate the variations of ground elevation by using the DEM values for each photometric cellular element. With the modified Sediment Production Rate (SPR) equation, volumes of the mass wasted were as well being estimated. In addition, with the aids of spatial analysis tools of Geographic Information System (GIS), details of the landslide were well enhanced; such that, the magnitude and the peripheral extent of the landslide were characterized.

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DO - 10.1109/IGARSS.2012.6352701

M3 - Paper

AN - SCOPUS:84873190831

SP - 6305

EP - 6308

T2 - 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012

Y2 - 22 July 2012 through 27 July 2012

ER -

Landslides volumetric estimation by using LiDAR data and Sediment Production Rate method

Abstract

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