LiDAR remote sensing of forest structure

被引：772
|
作者：
Lim, K [1 ]
Treitz, P
Wulder, M
St-Onge, B
Flood, M
机构：
[1] Queens Univ, Dept Geog, Fac Arts & Sci, Kingston, ON K7L 3N6, Canada
[2] Nat Resources Canada, Pacific Forestry Ctr, Canadian Forest Serv, Victoria, BC V8Z 1M5, Canada
[3] Univ Quebec, Dept Geog, Montreal, PQ H3C 3P8, Canada
[4] Airborn 1 Corp, Los Angeles, CA 90045 USA
来源：
PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT | 2003年 / 27卷 / 01期
关键词：
biomass; forest structure; laser altimetry; LiDAR; remote sensing;
D O I：
10.1191/0309133303pp360ra
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
Light detection and ranging (LiDAR) technology provides horizontal and vertical information at high spatial resolutions and vertical accuracies. Forest attributes such as canopy height can be directly retrieved from LiDAR data. Direct retrieval of canopy height provides opportunities to model above-ground biomass and canopy volume. Access to the vertical nature of forest ecosystems also offers new opportunities for enhanced forest monitoring, management and planning.
引用
收藏
页码：88 / 106
页数：19
相关论文
共 50 条
  • [1] Special issue: Lidar remote sensing of forest structure and terrain - Preface
    Wulder, MA
    Norman, P
    Witte, C
    [J]. CANADIAN JOURNAL OF REMOTE SENSING, 2003, 29 (05) : II - III
  • [2] Deciduous Forest Structure Estimated with LIDAR-Optimized Spectral Remote Sensing
    Defibaugh y Chavez, Jason
    Tullis, Jason A.
    [J]. REMOTE SENSING, 2013, 5 (01) : 155 - 182
  • [3] Lidar remote sensing of forest resources at the scale of management
    Wynne, Randolph H.
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2006, 72 (12): : 1310 - 1314
  • [4] Remote sensing - Lidar sensor sees forest and the trees
    Savage, N
    [J]. LASER FOCUS WORLD, 1999, 35 (05): : 71 - 72
  • [5] Lidar remote sensing of forest resources at the scale of management
    Department of Forestry, Virginia Polytechnic Institute and State University, 319 Julian Cheatham Hall , Blacksburg, VA 24060, United States
    不详
    [J]. Photogramm. Eng. Remote Sens., 2006, 12 (1310-1314):
  • [6] Retrieval of forest structural parameters using LiDAR remote sensing
    Martin van Leeuwen
    Maarten Nieuwenhuis
    [J]. European Journal of Forest Research, 2010, 129 : 749 - 770
  • [7] Retrieval of forest structural parameters using LiDAR remote sensing
    van Leeuwen, Martin
    Nieuwenhuis, Maarten
    [J]. EUROPEAN JOURNAL OF FOREST RESEARCH, 2010, 129 (04) : 749 - 770
  • [8] LIDAR remote sensing for secondary Tropical Dry Forest identification
    Castillo, Mauricio
    Rivard, Benoit
    Sanchez-Azofeifa, Arturo
    Calvo-Alvarado, Julio
    Dubayah, Ralph
    [J]. REMOTE SENSING OF ENVIRONMENT, 2012, 121 : 132 - 143
  • [9] Special Issue - Lidar Remote Sensing for Characterizing Forest Vegetation FOREWORD
    Popescu, Sorin C.
    Nelson, Ross F.
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2011, 77 (03): : 217 - 218
  • [10] Gini coefficient predictions from airborne lidar remote sensing display the effect of management intensity on forest structure
    Valbuena, Ruben
    Eerikainen, Kalle
    Packalen, Petteri
    Maltamo, Matti
    [J]. ECOLOGICAL INDICATORS, 2016, 60 : 574 - 585
12345