Remote sensing in forestry: current challenges, considerations and directions

被引:88
|
作者
Fassnacht, Fabian Ewald [1 ]
White, Joanne C. [2 ]
Wulder, Michael A. [2 ]
Naesset, Erik [3 ]
机构
[1] Free Univ Berlin, Inst Geog Sci Remote Sensing & Geoinformat, Malteserstr 74-100, D-12249 Berlin, Germany
[2] Nat Resources Canada, Canadian Forest Serv, Pacific Forestry Ctr, 506 West Burnside Rd, Victoria, BC V8Z 1M5, Canada
[3] Norwegian Univ Life Sci, Fac Environm Sci & Nat Resources Management, POB 5003, NO-1432 As, Norway
来源
FORESTRY | 2023年
关键词
DIGITAL AERIAL PHOTOGRAMMETRY; MODEL-ASSISTED ESTIMATION; K-NEAREST NEIGHBORS; FROM-MOTION PHOTOGRAMMETRY; POST-STRATIFIED ESTIMATION; LAND-COVER CLASSIFICATION; MEASURED TREE HEIGHT; LIDAR SAMPLE SURVEY; AREA-BASED APPROACH; UNDER-CANOPY UAV;
D O I
10.1093/forestry/cpad024
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Remote sensing has developed into an omnipresent technology in the scientific field of forestry and is also increasingly used in an operational fashion. However, the pace and level of uptake of remote sensing technologies into operational forest inventory and monitoring programs varies notably by geographic region. Herein, we highlight some key challenges that remote sensing research can address in the near future to further increase the acceptance, suitability and integration of remotely sensed data into operational forest inventory and monitoring programs. We particularly emphasize three recurrent themes: (1) user uptake, (2) technical challenges of remote sensing related to forest inventories and (3) challenges related to map validation. Our key recommendations concerning these three thematic areas include (1) a need to communicate and learn from success stories in those geographic regions where user uptake was successful due to multi-disciplinary collaborations supported by administrative incentives, (2) a shift from regional case studies towards studies addressing 'real world' problems focusing on forest attributes that match the spatial scales and thematic information needs of end users and (3) an increased effort to develop, communicate, and apply best-practices for map and model validation including an effort to inform current and future remote sensing scientists regarding the need for and the functionalities of these best practices. Finally, we present information regarding the use of remote sensing for forest inventory and monitoring, combined with recommendations where possible, and highlighting areas of opportunity for additional investigation.
引用
收藏
页码:11 / 37
页数:27
相关论文
共 50 条
  • [1] Continuous Cover Forestry and Remote Sensing: A Review of Knowledge Gaps, Challenges, and Potential Directions
    Stoddart, Jaz
    Suarez, Juan
    Mason, William
    Valbuena, Ruben
    CURRENT FORESTRY REPORTS, 2023, 9 (06) : 490 - 501
  • [2] Continuous Cover Forestry and Remote Sensing: A Review of Knowledge Gaps, Challenges, and Potential Directions
    Jaz Stoddart
    Juan Suarez
    William Mason
    Ruben Valbuena
    Current Forestry Reports, 2023, 9 : 490 - 501
  • [3] Remote Sensing in Urban Forestry: Recent Applications and Future Directions
    Li, Xun
    Chen, Wendy Y.
    Sanesi, Giovanni
    Lafortezza, Raffaele
    REMOTE SENSING, 2019, 11 (10)
  • [4] Preface: Applications of remote sensing to forestry - Current and future
    Hall, RJ
    FORESTRY CHRONICLE, 2000, 76 (06): : 855 - 857
  • [5] Remote sensing for forestry
    Hall, RJ
    Sánchez-Azofeifa, GA
    FORESTRY CHRONICLE, 2006, 82 (02): : 119 - 120
  • [6] Remote Sensing of Groundwater: Current Capabilities and Future Directions
    Adams, Kyra H.
    Reager, John T.
    Rosen, Paul
    Wiese, David N.
    Farr, Tom G.
    Rao, Shanti
    Haines, Bruce J.
    Argus, Donald F.
    Liu, Zhen
    Smith, Ryan
    Famiglietti, James S.
    Rodell, Matthew
    WATER RESOURCES RESEARCH, 2022, 58 (10)
  • [7] Explainable Multimodal Learning in Remote Sensing: Challenges and Future Directions
    Guenther, Alexander
    Najjar, Hiba
    Dengel, Andreas
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 21 : 1 - 5
  • [8] Remote sensing of inland waters: Challenges, progress and future directions
    Palmer, Stephanie C. J.
    Kutser, Tiit
    Hunter, Peter D.
    REMOTE SENSING OF ENVIRONMENT, 2015, 157 : 1 - 8
  • [9] Remote sensing of sea surface salinity: challenges and research directions
    Kim, Young Jun
    Han, Daehyeon
    Jang, Eunna
    Im, Jungho
    Sung, Taejun
    GISCIENCE & REMOTE SENSING, 2023, 60 (01)
  • [10] Lidar remote sensing for forestry
    Dubayah, RO
    Drake, JB
    JOURNAL OF FORESTRY, 2000, 98 (06) : 44 - 46