VEGETATION CHARACTERISTICS AND FLOODPLAIN TOPOGRAPHY FROM TERRESTRIAL LASER SCANNING FOR HYDRAULIC ANALYSES

被引:0
|
作者
Jalonen, Johanna [1 ]
Jarvela, Juha [2 ]
Vastila, Kaisa [1 ]
机构
[1] Aalto Univ, Sch Engn, Water Engn, Espoo, Finland
[2] Aalto Univ, Sch Engn, Water Engn, Engn, Espoo, Finland
基金
芬兰科学院;
关键词
Terrestrial laser scanning; Digital elevation models; Hydraulics; Vegetation; Flow resistance; WOODY VEGETATION; FLOW; RESISTANCE; DENSITY; SCALE; DRAG;
D O I
暂无
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
This study investigates the applicability of terrestrial laser scanning (TLS) in determining floodplain topography and vegetation characteristics for hydraulic analyses. Field investigations were conducted in a compound channel with five differently vegetated sub-reaches from bare soil to grasses and willow saplings. Comparison of TLS to manual surveys brought new insight in to the reliability of TLS to determine the ground level and vegetation characteristics of vegetated floodplains. The mean absolute error (MAE) of the TLS-based ground level was 2-14 cm in the grassy sub-reaches with 50 cm window size. Even though scanning the reach after snowmelt decreased the MAE, for high resolution erosion and deposition monitoring TLS needs to be supplemented with other surveying methods. A digital surface model of 1 cm in resolution appeared suitable for estimating grass heights and its distribution. Different methods were needed for grassy type of vegetation in comparison to woody vegetation; for grasses mean heights were applied, whereas for woody vegetation a voxel-based method was derived.
引用
收藏
页码:288 / 293
页数:6
相关论文
共 50 条
  • [31] Inferring Subglacial Topography of the Emerald Icefalls (King George Island, Antarctica) from Ice Surface Terrestrial Laser Scanning
    Petlicki, Michal
    2017 FIRST IEEE INTERNATIONAL SYMPOSIUM OF GEOSCIENCE AND REMOTE SENSING (GRSS-CHILE), 2017, : 80 - 83
  • [32] Forest edge structure from terrestrial laser scanning to explain bird biophony characteristics from acoustic indices
    Verhelst, Tom E. E.
    Vangansbeke, Pieter
    De Frenne, Pieter
    D'hont, Barbara
    Ponette, Quentin
    Willems, Luc
    Verbeeck, Hans
    Calders, Kim
    REMOTE SENSING IN ECOLOGY AND CONSERVATION, 2023, 9 (05) : 615 - 627
  • [33] Terrestrial Laser Scanning survey of the Sugano cliff (Orvieto, Italy) for slope stability analyses
    Brizi, Elisa
    Brunetti, Alessandro
    Martino, Salvatore
    Margottini, Claudio
    Mazzanti, Paolo
    Mugnozza, Gabriele Scarascia
    RENDICONTI ONLINE SOCIETA GEOLOGICA ITALIANA, 2015, 35 : 38 - 41
  • [34] Quantifying fire-induced changes in ground vegetation using bitemporal terrestrial laser scanning
    Tienaho, Noora
    Saarinen, Ninni
    Yrttimaa, Tuomas
    Kankare, Ville
    Vastaranta, Mikko
    SILVA FENNICA, 2024, 58 (03)
  • [35] Assessment of understory vegetation in a plantation forest of the southeastern United States using terrestrial laser scanning
    Adhikari, Angel
    Peduzzi, Alicia
    Montes, Cristian R.
    Osborne, Nathaniel
    Mishra, Deepak R.
    ECOLOGICAL INFORMATICS, 2023, 77
  • [36] Detection of seasonal changes in vegetation and morphology on coastal salt marshes using terrestrial laser scanning
    Xie, Weiming
    Guo, Leicheng
    Wang, Xianye
    He, Qing
    Dou, Shentang
    Yu, Xin
    GEOMORPHOLOGY, 2021, 380
  • [37] Creating vegetation density profiles for a diverse range of ecological habitats using terrestrial laser scanning
    Ashcroft, Michael B.
    Gollan, John R.
    Ramp, Daniel
    METHODS IN ECOLOGY AND EVOLUTION, 2014, 5 (03): : 263 - 272
  • [38] An instructional workflow for using terrestrial laser scanning (TLS) to quantify vegetation structure for wildlife studies
    Penman, Sandra
    Lentini, Pia
    Law, Bradley
    York, Alan
    FOREST ECOLOGY AND MANAGEMENT, 2023, 548
  • [39] Line based reconstruction from terrestrial laser scanning data
    Briese, Christian
    Pfeifer, Norbert
    JOURNAL OF APPLIED GEODESY, 2008, 2 (02) : 85 - 95
  • [40] Automatic Building Extraction from Terrestrial Laser Scanning Data
    Hao, Wen
    Wang, Yinghui
    Ning, Xiaojuan
    Zhao, Minghua
    Zhang, Jiulong
    Shi, Zhenghao
    Zhang, Xiaopeng
    ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, 2013, 13 (03) : 11 - 16