The sediment budgets evaluation in a basin using lidar dtms

Chih Ming Tseng; Ching Weei Lin; Kuo Jen Chang

doi:10.1007/978-3-319-09054-2_8

The sediment budgets evaluation in a basin using lidar dtms

Chih Ming Tseng, Ching Weei Lin, Kuo Jen Chang

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Citations (Scopus)

Abstract

In this study, a basin with an area of 20 km2 was chosen as the study area to more quantitatively understand the temporal and spatial variation of the rainfall-induced sediment volume changes during a period. The 2 m high-resolution DTMs derived from airborne LiDAR data acquired in 2005 and 2010 were used to characterize sediment yield and sediment transport processes such as debris flows and hyper-concentrated flows in the study area. With an acceptable volumetric estimation error (20%) due to uncertainty of the topography, comparing the two temporal DTMs reveal that LiDAR is an efficient way to assess sediment volume changes at the basin scale over a 5 year period.

Original language	English
Title of host publication	Engineering Geology for Society and Territory - Volume 3
Subtitle of host publication	River Basins, Reservoir Sedimentation and Water Resources
Publisher	Springer International Publishing
Pages	37-42
Number of pages	6
ISBN (Electronic)	9783319090542
ISBN (Print)	9783319090535
DOIs	https://doi.org/10.1007/978-3-319-09054-2_8
Publication status	Published - 2015 Jan 1

All Science Journal Classification (ASJC) codes

General Earth and Planetary Sciences

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10.1007/978-3-319-09054-2_8

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abstract = "In this study, a basin with an area of 20 km2 was chosen as the study area to more quantitatively understand the temporal and spatial variation of the rainfall-induced sediment volume changes during a period. The 2 m high-resolution DTMs derived from airborne LiDAR data acquired in 2005 and 2010 were used to characterize sediment yield and sediment transport processes such as debris flows and hyper-concentrated flows in the study area. With an acceptable volumetric estimation error (20%) due to uncertainty of the topography, comparing the two temporal DTMs reveal that LiDAR is an efficient way to assess sediment volume changes at the basin scale over a 5 year period.",

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AU - Lin, Ching Weei

AU - Chang, Kuo Jen

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N2 - In this study, a basin with an area of 20 km2 was chosen as the study area to more quantitatively understand the temporal and spatial variation of the rainfall-induced sediment volume changes during a period. The 2 m high-resolution DTMs derived from airborne LiDAR data acquired in 2005 and 2010 were used to characterize sediment yield and sediment transport processes such as debris flows and hyper-concentrated flows in the study area. With an acceptable volumetric estimation error (20%) due to uncertainty of the topography, comparing the two temporal DTMs reveal that LiDAR is an efficient way to assess sediment volume changes at the basin scale over a 5 year period.

AB - In this study, a basin with an area of 20 km2 was chosen as the study area to more quantitatively understand the temporal and spatial variation of the rainfall-induced sediment volume changes during a period. The 2 m high-resolution DTMs derived from airborne LiDAR data acquired in 2005 and 2010 were used to characterize sediment yield and sediment transport processes such as debris flows and hyper-concentrated flows in the study area. With an acceptable volumetric estimation error (20%) due to uncertainty of the topography, comparing the two temporal DTMs reveal that LiDAR is an efficient way to assess sediment volume changes at the basin scale over a 5 year period.

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ER -

The sediment budgets evaluation in a basin using lidar dtms

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