Spectral Discrimination of the Invasive Plant Spartina alterniflora at Multiple Phenological Stages in a Saltmarsh Wetland

被引:57
|
作者
Ouyang, Zu-Tao [1 ,2 ]
Gao, Yu [1 ]
Xie, Xiao [1 ]
Guo, Hai-Qiang [1 ]
Zhang, Ting-Ting [1 ]
Zhao, Bin [1 ]
机构
[1] Fudan Univ, Coastal Ecosyst Res Stn Yangtze River Estuary, Key Lab Biodivers Sci & Ecol Engn, Minist Educ,Inst Biodivers Sci, Shanghai 200433, Peoples R China
[2] Univ Toledo, Dept Environm Sci, Toledo, OH 43606 USA
来源
PLOS ONE | 2013年 / 8卷 / 06期
基金
中国国家自然科学基金;
关键词
CHONGMING ISLAND; VEGETATION; DONGTAN;
D O I
10.1371/journal.pone.0067315
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Spartina alterniflora has widely invaded the saltmarshes of the Yangtze River Estuary and brought negative effects to the ecosystem. Remote sensing technique has recently been used to monitor its distribution, but the similar morphology and canopy structure among S. alterniflora and its neighbor species make it difficult even with high-resolution images. Nevertheless, these species have divergence on phenological stages throughout the year, which cause distinguishing spectral characteristics among them and provide opportunities for discrimination. The field spectra of the S. alterniflora community as well as its major victims, native Phragmites australis and Scirpus mariqueter, were measured in 2009 and 2010 at multi-phenological stages in the Yangtze River Estuary, aiming to find the most appropriate periods for mapping S. alterniflora. Collected spectral data were analyzed separately for every stage firstly by re-sampling reflectance curves into continued 5-nm-wide hyper-spectral bands and then by re-sampling into broad multi-spectral bands - the same as the band ranges of the TM sensor, as well as calculating commonly used vegetation indices. The results showed that differences among saltmarsh communities' spectral characteristics were affected by their phenological stages. The germination and early vegetative growth stage and the flowering stage were probably the best timings to identify S. alterniflora. Vegetation indices like NDVI, ANVI, VNVI, and RVI are likely to enhance spectral separability and also make it possible to discriminate S. alterniflora at its withering stage.
引用
收藏
页数:12
相关论文
共 7 条
  • [1] Spectral discrimination of an invasive species (Spartina alterniflora) in Min river wetland using field spectrometry
    Ai Jin-quan
    Chen Wen-hui
    Chen Li-juan
    INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2013: IMAGING SPECTROMETER TECHNOLOGIES AND APPLICATIONS, 2013, 8910
  • [2] Monitoring the Invasive Plant Spartina alterniflora in Jiangsu Coastal Wetland Using MRCNN and Long-Time Series Landsat Data
    Zhu, Wenqing
    Ren, Guangbo
    Wang, Jianping
    Wang, Jianbu
    Hu, Yabin
    Lin, Zhaoyang
    Li, Wei
    Zhao, Yajie
    Li, Shibao
    Wang, Ning
    REMOTE SENSING, 2022, 14 (11)
  • [3] Clipping at early florescence is more efficient for controlling the invasive plant Spartina alterniflora
    Gao, Yang
    Tang, Long
    Wang, Jinqing
    Wang, Chenghuan
    Liang, Zongsuo
    Li, Bo
    Chen, Jiakuan
    Zhao, Bin
    ECOLOGICAL RESEARCH, 2009, 24 (05) : 1033 - 1041
  • [4] Integrating pan-sharpening and classifier ensemble techniques to map an invasive plant (Spartina alterniflora) in an estuarine wetland using Landsat 8 imagery
    Ai, Jinquan
    Gao, Wei
    Gao, Zhiqiang
    Shi, Runhe
    Zhang, Chao
    Liu, Chaoshun
    JOURNAL OF APPLIED REMOTE SENSING, 2016, 10
  • [5] Variable responses to top-down and bottom-up control on multiple traits in the foundational plant, Spartina alterniflora
    Valdez, Stephanie R.
    Daleo, Pedro
    DeLaMater, David S., III
    Silliman, Brian R.
    PLOS ONE, 2023, 18 (05):
  • [6] Study on the Extraction of Maize Phenological Stages Based on Multiple Spectral Index Time-Series Curves
    Qin, Minghao
    Li, Ruren
    Ye, Huichun
    Nie, Chaojia
    Zhang, Yue
    AGRICULTURE-BASEL, 2024, 14 (11):
  • [7] Investigating the Relationship between Tree Species Diversity and Landsat-8 Spectral Heterogeneity across Multiple Phenological Stages
    Madonsela, Sabelo
    Cho, Moses A.
    Ramoelo, Abel
    Mutanga, Onisimo
    REMOTE SENSING, 2021, 13 (13)