Riverscape mapping with helicopter-based Structure-from-Motion photogrammetry

被引:108
|
作者
Dietrich, James T. [1 ,2 ]
机构
[1] Dartmouth Coll, William H Neukom Inst Computat Sci, Hanover, NH 03755 USA
[2] Dartmouth Coll, Dept Geog, Hanover, NH 03755 USA
关键词
Structure-from-Motion (SfM); Multi-view stereo photogrammetry; Fluvial geomorphology; Fluvial remote sensing; Middle Fork John Day River; SPATIAL-RESOLUTION; CHANNEL MORPHOLOGY; STREAM HABITAT; GRAVEL-BED; WIDTH; LANDSCAPES; TOOL; UAV;
D O I
10.1016/j.geomorph.2015.05.008
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Recent developments in the remote sensing of fluvial systems have provided researchers with unprecedented views on the complexity of rivers. An aerial perspective is key to mapping and understanding the river at a variety of spatial scales. I employed a helicopter-mounted digital SLR camera and Structure-from-Motion (SfM) photogrammetry to bridge the gap between smaller scale aerial surveys from platforms like small unmanned aerial systems and larger scale commercial aerial photography or airborne LiDAR collections. This low-cost solution produced high spatial resolution aerial photography and digital elevation models for a 32-km segment of the Middle Fork John Day River in east central Oregon. Using these data, I extracted channel morphology data at 3-m intervals downstream and took an inductive approach to evaluating the controls on channel morphology and the human influences on the river using a combination of segment-scale and hyperscale analyses. The SfM process produced 10 cm/pixel orthophotographs and DEMs with submeter horizontal accuracy, but the DEMs suffered from a systematic distortion that resulted from the parallel camera geometry of the flight plan. The riverscape has been affected by human actions such as mining, cattle grazing, and restoration; however, differentiating a human signal from the natural patterns of channel morphology was difficult. The hyperscale analysis provided insight into several interesting downstream patterns in channel morphology that, with further analysis, could provide explanations on the physical controls of channel morphology. Overall, SfM has the potential to be a powerful, low-cost addition to the fluvial remote sensing toolkit (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:144 / 157
页数:14
相关论文
共 50 条
  • [1] Comparison of Terrestrial Laser Scanning and Structure-from-Motion Photogrammetry for steep slope mapping
    Nikolakopoulos, Konstantinos G.
    Antonakakis, Antonis
    Kyriou, Aggeliki
    Koukouvelas, Ioannis
    Stefanopoulos, Panagiotis
    EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS IX, 2018, 10790
  • [2] Application of Structure-from-Motion photogrammetry to river restoration
    Marteau, Baptiste
    Vericat, Damia
    Gibbins, Chris
    Batalla, Ramon J.
    Green, David R.
    EARTH SURFACE PROCESSES AND LANDFORMS, 2017, 42 (03) : 503 - 515
  • [3] Application of Structure-from-Motion photogrammetry in laboratory flumes
    Morgan, Jacob A.
    Brogan, Daniel J.
    Nelson, Peter A.
    GEOMORPHOLOGY, 2017, 276 : 125 - 143
  • [4] Freshwater Fish Habitat Complexity Mapping Using Above and Underwater Structure-From-Motion Photogrammetry
    Kalacska, Margaret
    Lucanus, Oliver
    Sousa, Leandro
    Vieira, Thiago
    Arroyo-Mora, Juan Pablo
    REMOTE SENSING, 2018, 10 (12)
  • [5] Modelling submerged fluvial substrates with structure-from-motion photogrammetry
    Danhoff, Brian M.
    Huckins, Casey J.
    RIVER RESEARCH AND APPLICATIONS, 2020, 36 (01) : 128 - 137
  • [6] Guidelines on the use of structure-from-motion photogrammetry in geomorphic research
    James, Mike R.
    Chandler, Jim H.
    Eltner, Anette
    Fraser, Clive
    Miller, Pauline E.
    Mills, Jon P.
    Noble, Tom
    Robson, Stuart
    Lane, Stuart N.
    EARTH SURFACE PROCESSES AND LANDFORMS, 2019, 44 (10) : 2081 - 2084
  • [7] MICROSCOPIC "STRUCTURE-FROM-MOTION" PHOTOGRAMMETRY, A METHOD FOR MICROFOSSIL STUDY
    Dumitriu, Tony-Cristian
    Loghin, Sergiu
    Branzila, Mihai
    Baciu, Dorin Sorin
    Dumitriu, Simina Dumitrita
    Mare, Silvia
    Dumitriu, Ana Maria
    Ionesi, Viorel
    CARPATHIAN JOURNAL OF EARTH AND ENVIRONMENTAL SCIENCES, 2021, 16 (01): : 99 - 115
  • [8] Mapping of River Terraces with Low-Cost UAS Based Structure-from-Motion Photogrammetry in a Complex Terrain Setting
    Li, Hui
    Chen, Lin
    Wang, Zhaoyang
    Yu, Zhongdi
    REMOTE SENSING, 2019, 11 (04)
  • [9] Estimation of Walnut Structure Parameters Using Terrestrial Photogrammetry Based on Structure-from-Motion (SfM)
    Fernandez-Sarria, Alfonso
    Lopez-Cortes, Isabel
    Marti, Jesus
    Estornell, Javier
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2022, 50 (10) : 1931 - 1944
  • [10] Estimation of Walnut Structure Parameters Using Terrestrial Photogrammetry Based on Structure-from-Motion (SfM)
    Alfonso Fernández-Sarría
    Isabel López-Cortés
    Jesús Martí
    Javier Estornell
    Journal of the Indian Society of Remote Sensing, 2022, 50 : 1931 - 1944