Journal of Jilin University(Earth Science Edition) ›› 2018, Vol. 48 ›› Issue (4): 1192-1200.doi: 10.13278/j.cnki.jjuese.20170004

Previous Articles     Next Articles

Recognition and Extraction of Phragmites Australis Salt Marsh Vegetation in Chongming Tidal Flat from Sentinel-1A SAR Data

Xu Wei, Zhou Yunxuan, Shen Fang, Tian Bo, Yu Peng   

  1. State Key Laboratory of Estuary and Coastal Research, East China Normal University, Shanghai 200062, China
  • Received:2017-12-07 Online:2018-07-26 Published:2018-07-26
  • Supported by:
    Supported by National Science Foundation of China(41476151)and National Key R&D Plan(2016YFC0502704)

PDF (PC)

468

Abstract: In this study we analyzed the temporal variation of the back-scattering intensity of the phragmites australis to extract its spatial distribution and explore the prospect of applying the Sentinel-1A SAR data for salt marsh monitoring in the Yangtze River estuary. Using the 11 Sentinel-1A VV+VH dual-pol SAR images from 2016, the temporal variation of the main land features in the southern part of the Chongming tidal flat was characterized. The findings showed that the variation of back-scattering intensity in the VV band was more remarkable than the VH band, and the dB value of the phragmites australis was much stronger than the other features during the leaf-off period. Based on the analysis, the phragmites australis was distinguished from other land types in the study area in a relatively high accuracy of 88.7%. During the study, we took into consideration of the images acquired during the leaf-off period to extract the phragmites australis, and utilized the images under different tidal levels to obtain the better result. Based on the correlation analysis, a favorable positive correlation existed between the back-scattering intensity and the temporal-adjacent optical normalized difference vegetation index (INDV) with a correlation coefficient of 0.78.

Key words: Sentinel-1A, SAR(synthetic aperture radar), salt marsh vegetation, phragmites australis, coastal area

CLC Number: 

  • TP722.6
[1] 吴玲玲, 陆健健, 童春富,等. 长江口湿地生态系统服务功能价值的评估[J].长江流域资源与环境,2003,12(5):411-416. Wu Lingling, Lu Jianjian, Tong Chunfu, et al. Valuation of Wetland Ecosystem Services in the Yangtze River Estuary[J]. Resources and Environment in the Yangtze Basin, 2003, 12(5):411-416.
[2] Ju J, Roy D P. The Availability of Cloud-Free Landsat ETM+ Data over the Conterminous United States and Globally[J]. Remote Sensing of Environment, 2008, 112(3):1196-1211.
[3] Hansen M C, Stehman S V, Potapov P V, et al. Humid Tropical Forest Clearing from 2000 to 2005 Quantified by Using Multi-Temporal and Multiresolution Remotely Sensed Data[J]. Proceedings of the National Academy of Sciences, 2008, 105(27):9439-9444.
[4] Asner G P. Cloud Cover in Landsat Observations of the Brazilian Amazon[J]. International Journal of Remote Sensing, 2001, 22(18):3855-3862.
[5] 王安琪, 周德民, 宫辉力.基于雷达后向散射特性进行湿地植被识别与分类的方法研究[J]. 遥感信息, 2012, 27(2):15-19. Wang Anqi, Zhou Demin, Gong Huili. A Research on Method of Wetland Vegetation Identification and Classification Based on Radar Backscatter Characteristics[J]. Remote Sensing Information, 2012, 27(2):15-19.
[6] 李华朋, 张树清, 孙妍. 合成孔径雷达在湿地资源研究中的应用[J]. 自然资源学报, 2010, 25(1):148-154. Li Huapeng, Zhang Shuqing, Sun Yan. The Applications of SAR to Wetlands Resources in Research[J].Journal of Natural Resources, 2010, 25(1):148-154.
[7] Townsend P A. Mapping Seasonal Flooding in Forested Wetlands Using Multi-Temporal Radarsat SAR[J]. Photogrammetric Engineering and Remote Sensing, 2001, 67(7):857-864.
[8] Kwoun O, Lu Z. Multi-Temporal RADARSAT-1 and ERS Backscattering Signatures of Coastal Wetlands in Southeastern Louisiana[J]. Photogrammetric Engineering & Remote Sensing, 2009, 75(5):607-617.
[9] 杨世伦, 姚炎明, 贺松林. 长江口冲积岛岸滩剖面形态和冲淤规律[J]. 海洋与湖沼, 1999, 30(6):764-769. Yang Shilun, Yao Yanming, He Songlin. Coastal Profile Shape and Erosion-Accretion Changes of the Sediment Islands[J]. Oceanologia et Limnologia Sinica, 1999, 30(6):764-769.
[10] 徐玲. 崇明东滩湿地植被演替不同阶段鸟类群落动态变化的研究[D]. 上海:华东师范大学, 2004. Xu Ling. Study on Dynamics of Avian Community in Different Stages of Vegetation Succession in Chongming Dongtan Wetland[D]. Shanghai:East China Normal University, 2004.
[11] 陈勇, 何中发, 黎兵, 等. 崇明东滩潮沟发育特征及其影响因素定量分析[J]. 吉林大学学报(地球科学版), 2013,43(1):212-219. Chen Yong, He Zhongfa, Li Bing, et al. Spatial Distribution of Tidal Creeks and Quantitative Analysis of Its Driving Factors in Chongming Dongtan, Shanghai[J]. Journal of Jilin University(Earth Science Edition), 2013, 43(1):212-219.
[12] 高云芳. 长江口盐沼湿地植物多样性及分布格局[D]. 上海:上海师范大学,2009. Gao Yunfang. The Analysis of Diversity and Distribution Pattern of Plant Species in Salt Marsh Wetland on Yangtze River Estuary:Wetlands of Chongming Dongtan and Jiuduansha as the Case[D]. Shanghai:Shanghai Normal University, 2009.
[13] Sentinel-1 Team. Sentinel-1 User Handbook[Z/OL].(2013-09-01)[2016-12-30].http://sentinel.esa.int/documents/247904/685163/Sentinel-1_User_Handbook.
[14] Frost V S, Stiles J A, Shanmugan K S, et al. A Model for Radar Images and its Application to Adaptive Digital Filtering of Multiplicative Noise[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1982, 4(2):157-166.
[15] Kiage L M, Walker N D, Balasubramanian S, et al. Applications of Radarsat-1 Synthetic Aperture Radar Imagery to Assess Hurricane-Related Flooding of Coastal Louisiana[J]. International Journal of Remote Sensing, 2005, 26(24):5359-5380.
[1] CHI Bao-ming，DING Yuan-fang，CUI Xin-ying，LU Yan-hong，SHI Feng-zhi，WU Fa-wei. Research on Evaluation and Rational Exploitation and Utilization of the Salt Well Water Resources in Coastal Areas--A Case Study of Xingcheng Modern Fishery Garden [J]. J4, 2007, 37(5): 955-0960.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Earth Science Edition), All Rights Reserved.
Tel: +86-431-88502374；13756165364　E-mail: xuebao1956@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd