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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Baldo M, Bicocchi C, Chiocchini U, Giordan D, Lollino G (2009) LIDAR monitoring of mass wasting processes: the Radicofani landslide, Province of Siena, Central Italy. Geomorphology 105(3–4):193–201
DeLong SB, Prentice CS, Hilley GE, Ebert Y (2012) Multi-temporal ALSM change detection, sediment delivery, and process mapping at an active earthflow. Earth Surf Proc Land 37:262–272
Frankel KL, Dolan JF (2007) Characterizing arid region alluvial fan surface roughness with airborne laser swath mapping digital topographic data. J Geophys Res 112:F02025. doi:10.1029/2006JF000644
Glenn NF, Streuker DR, Chadwick DJ, Thackray GD, Dorsch SJ (2006) Analysis of Lidar derived topographic information for characterizing and differentiating landslide morphology and activity. Geomorphology 73:131–148
Guzzetti F, Ardizzone F, Cardinali M, Galli M, Rossi M, Valigi D (2009) Landslide volumes and landslide mobilization rates in Umbria, central Italy. Earth Planet Sci Lett 279(222–229):2009. doi:10.1016/j.epsl.01.005
Horton RE (1945) Erosional development of streams and their drainage basin: hydrophysical approach to quantitative morphology. Bull Geol Soc Am 56:275–370
James LA, Hodgson ME, Ghoshal S, Latiolais MM (2012) Geomorphic change detection using historic maps and DEM differencing: the temporal dimension of geospatial analysis. Geomorphology 137:181–198
Mckean J, Roering J (2004) Objective landslide detection and surface morphology mapping using high resolution airborne laser altimetry. Geomorphology 57:331–351. doi:10.1016/S0169-555X(03)00164-8
Pirotti F, Tarolli P (2010) Suitability of LiDAR point density and derived landform curvature maps for channel network extraction. Hydrol Process 24:1187–1197
Sofia G, Pirotti F, Tarolli P (2013) Variations in multiscale curvature distribution and signatures of LiDAR DTM errors. Earth Surf Proc Land 38(10):1116–1134. doi:10.1002/esp.3363
Strahler AN (1950) Equilibrium theory of erosional slope approached by frequency distribution analysis. Am J Sci 248:673–696
Tarolli P, Fontana GD (2009) Hillslope-to-valley transition morphology: new opportunities from high resolution DTMs. Geomorphology 113:47–56. doi:10.1016/j.geomorph.2009.02.006
Tarolli P, Arrowsmith JR, Vivoni ER (2009) Understanding earth surface processes from remotely sensed digital terrain models. Geomorphology 113:1–3. doi:10.1016/j.geomorph.2009.07.005
Tseng CM, Lin CW, Stark CP, Liu JK, Fei LY, Hsieh YC (2013) Application of a multi-temporal, LiDAR-derived, digital terrain model in a landslide-volume estimation. Earth Surf Proc Land 38:1587–1601. doi:10.1002/esp.3454
Wheaton JM, Brasington J, Darby SE, Sear DA (2010) Accounting for uncertainty in DEMs from repeat topographic surveys: improved sediment budgets. Earth Surf Proc Land 35:136–156
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Tseng, CM., Lin, CW., Chang, KJ. (2015). The Sediment Budgets Evaluation in a Basin Using LiDAR DTMs. In: Lollino, G., Arattano, M., Rinaldi, M., Giustolisi, O., Marechal, JC., Grant, G. (eds) Engineering Geology for Society and Territory - Volume 3. Springer, Cham. https://doi.org/10.1007/978-3-319-09054-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-09054-2_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09053-5
Online ISBN: 978-3-319-09054-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)