基于无人机影像的滩涂入侵种互花米草植被信息提取与覆盖度研究

doi:10.11873/j.issn.1004-0323.2017.4.0714

遥感技术与应用

2017, Vol. 32

Issue (4): 714-720 DOI: 10.11873/j.issn.1004-0323.2017.4.0714

遥感应用

基于无人机影像的滩涂入侵种互花米草植被信息提取与覆盖度研究

周在明，杨燕明，陈本清#br#

（国家海洋局第三海洋研究所，福建厦门361005）

Research on Vegetation Extraction and Fractional Vegetation Cover of Spartina Alterniflora Using UAV Images

Zhou Zaiming，Yang Yanming，Chen Benqing#br#

(Third Institute of Oceanography State Oceanic Administration，Xiamen 361005，China)

全文: PDF(9458 KB)

摘要：

以福建三沙湾为试验区，以地面光谱和低空无人机获取的可见光影像与ADC多光谱影像为数据源对入侵种互花米草植被信息和覆盖度进行研究。构建了基于可见光波段的改进型土壤调整植被指数V\|MSAVI用于可见光影像植被信息提取，以NDVI指数模型对ADC多光谱影像进行了植被覆盖度估算。结果表明，V\|MSAVI指数具有较好的适用性；在互花米草覆盖度方面以40%~60%和60%~80%中高等级分布为主。精度检验表明，基于V\|MSAVI植被指数提取得到的互花米草总体精度为89%，Kappa系数为0.77；植被覆盖度的估算值与真实值之间的均方根误差(RMSE)为0.06，决定系数R²为0.92。

关键词： 互花米草; 植被信息提取; 植被覆盖度; 无人机影像

Abstract:

In this study，vegetation extraction and fractional vegetation cover of Spartina alterniflora (S.alterniflora )was studied in an experimental region of Sansha bay，a typical coastal wetland area in Fujian Province，China.A new vegetation index visible\|band modified soil adjusted vegetation index (V\|MSAVI)was constructed and the fractional vegetation cover was calculated subsequently based on the NDVI model.Results showed that，the S.alterniflora extraction results by V\|MSAVI had a satisfactory precision.Most of the fractional vegetation covers of S.alterniflora were in medium\|level coverage (40%~60%)and a high\|level coverage (60%~80%).An accuracy analysis based on the visual interpretation indicated the overall extraction results accuracy of 0.89，and a kappa coefficient of 0.77.Root mean square error (RMSE)of fractional vegetation cover between the estimation value and the true value was 0.06，and the determination coefficient R² was 0.92.

Key words: Spartina alterniflora Vegetation extraction Fractional vegetation cover Unmanned Aerial Vehicle(UAV)images

收稿日期: 2016-05-27 出版日期: 2017-09-13

TP 79

基金资助:

福建省自然科学基金项目（2015J05085），国家海洋局第三海洋研究所基本科研业务费项目(HE150805\|14(B))，促进海峡两岸科技合作联合基金（U1405234）。

作者简介: 周在明(1980-)，男，山东淄博人，助理研究员，主要从事海岸带资源环境研究。Eamil: zhouzaiming@tio.org.cn.

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引用本文:

周在明，杨燕明，陈本清. 基于无人机影像的滩涂入侵种互花米草植被信息提取与覆盖度研究[J]. 遥感技术与应用, 2017, 32(4): 714-720.

Zhou Zaiming，Yang Yanming，Chen Benqing. Research on Vegetation Extraction and Fractional Vegetation Cover of Spartina Alterniflora Using UAV Images. Remote Sensing Technology and Application, 2017, 32(4): 714-720.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2017.4.0714 或 http://www.rsta.ac.cn/CN/Y2017/V32/I4/714

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