Mapping and assessing typhoon-induced forest disturbance in Changbai Mountain National Nature Reserve using time series Landsat imagery

被引:0
|
作者
Xiao-yi Guo
Hong-yan Zhang
Ye-qiao Wang
John Clark
机构
[1] Northeast Normal University,School of Geographical Sciences
[2] University of Rhode Island,Department of Natural Resources Science
来源
关键词
Typhoon Vera; Windthrow areas; Disturbance Index (DI); Topographic features; Forest recovery process;
D O I
暂无
中图分类号
学科分类号
摘要
Monitoring forest disturbances is important for understanding changes in ecosystems. The 1986 Typhoon Vera was a serious disturbance that severely impacted the forest ecosystems of Changbai Mountain National Nature Reserve. Although the typhoon disturbance occurred more than two decades ago, the effects of the typhoon still remain within the study area. Few studies have focused on mapping and assessing disturbances across broad spatial and temporal scales. For this study, we first generated a map of forest composition prior to the typhoon disturbance, which served as a baseline data for the extraction of disturbed area. Then, the Disturbance Index (DI) method was tested for mapping the extent and magnitude of disturbance in the study area by applying a Tasseled Cap transformation to the Landsat imagery. The Landsat-based DI method estimated that an area of 13,764.78 ha of forest was disturbed by the typhoon. Based on visual assessments, these results correspond closely with the reference map derived from ground surveys. These results also revealed the influence of local topographic features on the distribution of windthrow areas. Windthrow areas were more pronounced in areas with elevations ranging from 1,000 to 2,000 m, slopes of less than 10 degrees, and southwestern to northwestern aspects. In addition, the relatively long (25 years) post-typhoon recovery period assessed by this study provided a more comprehensive analysis of the dynamics of forest recovery processes over time. Windthrow areas did not recover immediately after the typhoon, likely due to forest management practices enacted at the time. So far, forest recovery has proceeded more rapidly at elevations below 1,400 m, particularly on western slopes within the study area. Finally, a time series of DI values within the study period suggests a secondary disturbance may have occurred between 2000 and 2001.
引用
收藏
页码:404 / 416
页数:12
相关论文
共 50 条
  • [1] Mapping and Assessing Typhoon-induced Forest Disturbance in Changbai Mountain National Nature Reserve Using Time Series Landsat Imagery
    GUO Xiao-yi
    ZHANG Hong-yan
    WANG Ye-qiao
    John Clark
    [J]. Journal of Mountain Science, 2015, 12 (02) : 404 - 416
  • [2] Mapping and assessing typhoon-induced forest disturbance in Changbai Mountain National Nature Reserve using time series Landsat imagery
    Guo Xiao-yi
    Zhang Hong-yan
    Wang Ye-qiao
    Clark, John
    [J]. JOURNAL OF MOUNTAIN SCIENCE, 2015, 12 (02) : 404 - 416
  • [3] Typhoon-Induced Forest Damage Mapping in the Philippines Using Landsat and PlanetScope Images
    Magallon, Benjamin Jonah Perez
    Tsuyuki, Satoshi
    [J]. LAND, 2024, 13 (07)
  • [4] Mapping Spatial Variations of Structure and Function Parameters for Forest Condition Assessment of the Changbai Mountain National Nature Reserve
    Chen, Lin
    Ren, Chunying
    Zhang, Bai
    Wang, Zongming
    Wang, Yeqiao
    [J]. REMOTE SENSING, 2019, 11 (24)
  • [5] MAPPING FOREST DISTURBANCE TYPES IN CHINA WITH LANDSAT TIME SERIES
    Huo, Lian-Zhi
    Tang, Ping
    [J]. IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 3086 - 3089
  • [6] Assessing changes in forest fragmentation following infestation using time series Landsat imagery
    Coops, Nicholas C.
    Gillanders, Steve N.
    Wulder, Michael A.
    Gergel, Sarah E.
    Nelson, Trisalyn
    Goodwin, Nicholas R.
    [J]. FOREST ECOLOGY AND MANAGEMENT, 2010, 259 (12) : 2355 - 2365
  • [7] Interpretation of forest disturbance using a time series of Landsat imagery and canopy structure from airborne lidar
    Ahmed, Oumer S.
    Franklin, Steven E.
    Wulder, Michael A.
    [J]. CANADIAN JOURNAL OF REMOTE SENSING, 2014, 39 (06) : 521 - 542
  • [8] Using Landsat time series imagery to detect forest disturbance in selectively logged tropical forests in Myanmar
    Shimizu, Katsuto
    Ponce-Hernandez, Raul
    Ahmed, Oumer S.
    Ota, Tetsuji
    Win, Zar Chi
    Mizoue, Nobuya
    Yoshida, Shigejiro
    [J]. CANADIAN JOURNAL OF FOREST RESEARCH, 2017, 47 (03) : 289 - 296
  • [9] Monitoring Forest Infestation and Fire Disturbance in the Southern Appalachian Using a Time Series Analysis of Landsat Imagery
    Khodaee, Mahsa
    Hwang, Taehee
    Kim, JiHyun
    Norman, Steven P.
    Robeson, Scott M.
    Song, Conghe
    [J]. REMOTE SENSING, 2020, 12 (15)
  • [10] Monitoring forest dynamics using satellite imagery - a case study in the natural reserve of Changbai Mountain in China
    Liu, QJ
    Li, XR
    Ma, ZQ
    Takeuchi, N
    [J]. FOREST ECOLOGY AND MANAGEMENT, 2005, 210 (1-3) : 25 - 37