High-Resolution Mapping of Wet Terrain within Discontinuous Permafrost using LiDAR Intensity

被引:15
|
作者
Stevens, Christopher W. [2 ]
Wolfe, Stephen A. [1 ,3 ]
机构
[1] Geol Survey Canada, Nat Resources Canada, Ottawa, ON K1A 0E8, Canada
[2] SRK Consulting US Inc, Anchorage, AK USA
[3] Carleton Univ, Dept Geog & Environm Studies, Ottawa, ON K1S 5B6, Canada
关键词
LiDAR intensity; permafrost; hydrology; wet terrain; northern infrastructure; transportation corridor; MACKENZIE DELTA; ROAD EMBANKMENT; DEGRADATION; VEGETATION; QUEBEC;
D O I
10.1002/ppp.1752
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Surface hydrology is an important aspect of northern environments on account of the thermal influence of water on permafrost. In this study, we demonstrate the ability of light detection and ranging (LiDAR) to map wet terrain within an area of discontinuous permafrost adjacent to the Northwest Territories Highway 3, located west of Yellowknife, Canada. Wet terrain was identified from LiDAR intensity measurements beneath forest canopies and across vegetated surfaces, including peatlands, fens, flooded black spruce and birch forests, and terrain adjacent to the highway embankment. Surface water pathways representing hydrological connections between water bodies and wet terrain were also identified at locations otherwise indiscernible from optical imagery. Statistical separability between terrain types, and thus the ability to map them, was improved by integrating LiDAR all-return and bare-earth intensity with colour orthophotos. The average classification accuracy for wet terrain was 93 per cent. These results indicate that LiDAR intensity can be used for local-scale mapping of wet terrain, as required by northern engineers and scientists. Future integration of LiDAR intensity and elevation measurements may be used to assess changes in surface hydrological conditions impacting permafrost. Copyright (c) Her Majesty the Queen in Right of Canada 2012.
引用
收藏
页码:334 / 341
页数:8
相关论文
共 50 条
  • [1] Rapid, High-Resolution Forest Structure and Terrain Mapping over Large Areas using Single Photon Lidar
    Anu Swatantran
    Hao Tang
    Terence Barrett
    Phil DeCola
    Ralph Dubayah
    Scientific Reports, 6
  • [2] Rapid, High-Resolution Forest Structure and Terrain Mapping over Large Areas using Single Photon Lidar
    Swatantran, Anu
    Tang, Hao
    Barrett, Terence
    DeCola, Phil
    Dubayah, Ralph
    SCIENTIFIC REPORTS, 2016, 6
  • [3] High Resolution Hydric Soil Mapping using LiDAR Digital Terrain Modeling
    Fink, Cody M.
    Drohan, Patrick J.
    SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2016, 80 (02) : 355 - 363
  • [4] High-Resolution Terrain Modeling Using Airborne LiDAR Data with Transfer Learning
    Li, Huxiong
    Ye, Weiya
    Liu, Jun
    Tan, Weikai
    Pirasteh, Saied
    Fatholahi, Sarah Narges
    Li, Jonathan
    REMOTE SENSING, 2021, 13 (17)
  • [5] Autoregistration of high-resolution satellite imagery using LIDAR intensity data
    Lee, Jaebin
    Lee, Changno
    Yu, Kiyun
    KSCE JOURNAL OF CIVIL ENGINEERING, 2011, 15 (02) : 375 - 384
  • [6] Autoregistration of high-resolution satellite imagery using LIDAR intensity data
    Jaebin Lee
    Changno Lee
    Kiyun Yu
    KSCE Journal of Civil Engineering, 2011, 15 : 375 - 384
  • [7] Assessment of LiDAR and Spectral Techniques for High-Resolution Mapping of Sporadic Permafrost on the Yukon-Kuskokwim Delta, Alaska
    Whitley, Matthew A.
    Frost, Gerald V.
    Jorgenson, M. Torre
    Macander, Matthew J.
    Maio, Chris V.
    Winder, Samantha G.
    REMOTE SENSING, 2018, 10 (02)
  • [8] High-resolution LIDAR-based Depth Mapping using Bilateral Filter
    Premebida, Cristiano
    Garrote, Luis
    Asvadi, Alireza
    Ribeiro, A. Pedro
    Nunes, Urbano
    2016 IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2016, : 2469 - 2474
  • [9] High-resolution mapping of ecosystem carbon storage and potential effects of permafrost thaw in periglacial terrain, European Russian Arctic
    Hugelius, Gustaf
    Virtanen, Tarmo
    Kaverin, Dmitry
    Pastukhov, Alexander
    Rivkin, Felix
    Marchenko, Sergey
    Romanovsky, Vladimir
    Kuhry, Peter
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2011, 116
  • [10] HIGH-RESOLUTION LIDAR USING RANDOM DEMODULATION
    Boufounos, Petros T.
    2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2018, : 36 - 40