High-resolution topography for understanding Earth surface processes: Opportunities and challenges

被引:412
作者
Tarolli, Paolo [1 ]
机构
[1] Univ Padua, Dept Land Environm Agr & Forestry, Agripolis, I-35020 Legnaro, PD, Italy
基金
美国国家科学基金会;
关键词
Earth surface processes; High-resolution topography; Lidar; Geomorphic signatures; Anthropogenic signatures; Anthropocene; DIGITAL ELEVATION MODELS; AIRBORNE LIDAR DATA; DEEP-SEATED LANDSLIDES; STRUCTURE-FROM-MOTION; SCANNING LASER ALTIMETRY; TERM ECOLOGICAL CHANGES; SAN-ANDREAS FAULT; LAVA FLOW; FOREST ROADS; GEOMORPHIC FEATURES;
D O I
10.1016/j.geomorph.2014.03.008
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
In the last decade, a range of new remote-sensing techniques has led to a dramatic increase in terrain information, providing new opportunities for a better understanding of Earth surface processes based on geomorphic signatures. Technologies such as airborne and terrestrial lidar (Light Detection and Ranging) to obtain high-resolution topography have opened avenues for the analysis of landslides, hillslope and channellization processes, river morphology, active tectonics, volcanic landforms and anthropogenic signatures on topography. This review provides an overview of the recent flourishing literature on high-resolution topographic analyses, underlining their opportunities and critical issues such as their limitations. The goal is to provide answers to questions such as what kind of processes can be analyzed through high-resolution topographic data and how to do it The review focuses on two different environments: natural and engineered landscapes. In both contexts, high-resolution topography offers opportunities to better understand geomorphic processes from topographic signatures. Particular attention is given to engineered landscapes in which the direct anthropic alteration of processes is significant The last part of the review discusses future challenges. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:295 / 312
页数:18
相关论文
共 159 条
  • [51] Hodge R.A., 2007, THESIS U CAMBRIDGE
  • [52] In situ characterization of grain-scale fluvial morphology using Terrestrial Laser Scanning
    Hodge, Rebecca
    Brasington, James
    Richards, Keith
    [J]. EARTH SURFACE PROCESSES AND LANDFORMS, 2009, 34 (07) : 954 - 968
  • [53] Howard AD, 1997, EARTH SURF PROC LAND, V22, P211, DOI 10.1002/(SICI)1096-9837(199703)22:3<211::AID-ESP749>3.0.CO
  • [54] 2-E
  • [55] Geomorphological mapping with a small unmanned aircraft system (sUAS): Feature detection and accuracy assessment of a photogrammetrically-derived digital terrain model
    Hugenholtz, Chris H.
    Whitehead, Ken
    Brown, Owen W.
    Barchyn, Thomas E.
    Moorman, Brian J.
    LeClair, Adam
    Riddell, Kevin
    Hamilton, Tayler
    [J]. GEOMORPHOLOGY, 2013, 194 : 16 - 24
  • [56] SCALING REGIMES OF LOCAL SLOPE VERSUS CONTRIBUTING AREA IN DIGITAL ELEVATION MODELS
    IJJASZVASQUEZ, EJ
    BRAS, RL
    [J]. GEOMORPHOLOGY, 1995, 12 (04) : 299 - 311
  • [57] High-resolution DEMs in the study of rainfall- and earthquake-induced landslides: Use of a variable window size method in digital terrain analysis
    Iwahashi, Junko
    Kamiya, Izumi
    Yamagishi, Hiromitsu
    [J]. GEOMORPHOLOGY, 2012, 153 : 29 - 38
  • [58] A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements
    Jaakkola, Anttoni
    Hyyppa, Juha
    Kukko, Antero
    Yu, Xiaowei
    Kaartinen, Harri
    Lehtomaki, Matti
    Lin, Yi
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2010, 65 (06) : 514 - 522
  • [59] Use of LIDAR in landslide investigations: a review
    Jaboyedoff, Michel
    Oppikofer, Thierry
    Abellan, Antonio
    Derron, Marc-Henri
    Loye, Alex
    Metzger, Richard
    Pedrazzini, Andrea
    [J]. NATURAL HAZARDS, 2012, 61 (01) : 5 - 28
  • [60] Channel and perennial flow initiation in headwater streams: Management implications of variability in source-area size
    Jaeger, Kristin L.
    Montgomery, David R.
    Bolton, Susan M.
    [J]. ENVIRONMENTAL MANAGEMENT, 2007, 40 (05) : 775 - 786