您好，欢迎访问中国水产科学研究院 机构知识库！
中国水产科学研究院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Poyang Lake Wetland Classification Using Time-Series ENVISAT ASAR Data and Beijing-1 Imagery

文献类型： 外文期刊

作者： Ding, Fang 1 ; Wang, Lin 2 ; Dronova, Iryna 5 ; Cao, Kun 2 ;

作者机构： 1.Shanghai Ocean Univ, Coll Marine Sci, Shanghai 201306, Peoples R China

2.Chinese Acad Fishery Sci, Fishery Resource & Environm Res Ctr, Beijing 100141, Peoples R China

3.Minist Agr & Rural Affairs, Sci Observing & Expt Stn Fishery Remote Sensing, Beijing 100141, Peoples R China

4.Inst Remote Sensing Applicat Chinese Acad Sci & B, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

5.Univ Calif Berkeley, Rausser Coll Nat Resources, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA

关键词： plant functional type; time-series remote sensing images; phenological curves; permittivity curves; rule-based classification method

期刊名称：WATER （ 影响因子：3.53； 五年影响因子：3.628 ）

ISSN：

年卷期： 2022 年 14 卷 20 期

页码：

收录情况： SCI

摘要： Beijing-1 and ENVISAT ASAR images were used to classify wetland aquatic macrophytes in terms of their plant functional types (PFTs) over the Poyang Lake region, China. Speckle noise filtering, systematic sensor calibration within the same polarization or between different polarizations, and accurate geo-registration were applied to the time-series SAR data. As a result, time-series backscattering data, which is described as permittivity curves in this paper, were obtained. In addition, time-series indices, described as phenological curves, were derived from Beijing-1 time-series images in the classification experiment. Based on these two curves, a rule-based classification strategy was developed to extract wetland information from the combined SAR and optical data. In the rule-based wetland classification method, DEM data, submersion time index, temporal Beijing-1 images, time-series normalized difference vegetation index (TSNDVI) images, principal component analysis (PCA), and temporal ratio of ASAR time-series images were used. In addition, a decision tree-based method was used to map the wetlands. Conclusions include the following: (1) after the preprocessing of ASAR data, it was possible to satisfactorily separate different aquatic plant functional types; (2) hydrophytes from different PFTs exhibited distinct phenological, structural, moisture, and roughness characteristics due to the impact of the annual inundation of Poyang Lake wetland; and (3) more accurate results were obtained with the rule-based method than the decision tree (DT) method. Producer's and user's accuracy calculated from test samples in the classification results indicate that the DT method can potentially be used for mapping aquatic PFTs, with overall producer's accuracy exceeding 80% and higher user's accuracy for aquatic bed wetland PFTs. A comparison of producer's and user's accuracy from the rule-based classification increased from 3 to 12% and 7 to 26%, respectively, for different aquatic PFTs.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：中国水产科学研究院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台