Mangrove Wetland Changes in the Pearl River Estuary Using Remote Sensing
Received date: 2005-04-10
Revised date: 2005-08-02
Online published: 2006-01-25
Supported by
Natural Science Foundation of Guangdong, No. 031647; National Outstanding Youth Foundation of NSF of China, No.40525002; 985 Project of GIS and Remote Sensing for Geosciences from the Ministry of Education of China
Guangdong in South China has the largest area of mangrove wetlands in China. Mangrove forests have important ecological functions in protecting the environment. However, the mangrove wetlands have been largely lost because of intensified human activities in the study area. Remote sensing can be conveniently used to inventory mangrove forests because field investigation is very difficult. In this study, a knowledge-based system is developed to retrieve spatio-temporal dynamics of mangrove wetlands using multi-temporal remote sensing data. Radar remote sensing data are also used to provide complementary information for the quantitative analysis of mangrove wetlands. Radar remote sensing is able to penetrate mangrove forests and obtain the trunk information about mangrove structures. The integration of radar remote sensing with optical remote sensing can significantly improve the accuracies of classifying mangrove wetland types and estimating wetland biomass.
Key words： Pearl River Estuary; mangrove; wetlands; radar remote sensing; monitoring; classification
LI Xia, LIU Kai, WANG Shugong . Mangrove Wetland Changes in the Pearl River Estuary Using Remote Sensing[J]. Acta Geographica Sinica, 2006 , 61(1) : 26 -34 . DOI: 10.11821/xb200601003
[1] An Shuqing. Wetland Ecological Engineering: the Optimization Model for Utilization and Conservation of Wetland Resources. Beijing: Chemical Industry Press, 2003. 2-22.
[安树青. 湿地生态工程: 湿地资源利用与保护的优化模型. 北京: 化学工业出版社, 2003. 2-22.]
[2] Zhang Qiaomin, Sui Shuzhen. The mangrove wetland resources and their conservation in China. Journal of Natural Resources, 2001, 16(1): 28-36.
[张乔民, 隋淑珍. 中国红树林湿地资源及其保护. 自然资源学报, 2001, 16(1): 28-36.]
[3] Wang Shugong. Status quo of coastal wetlands and their protection in Guangdong Province. Chongqing Environmental Science, 1998, 20(1): 4-11.
[王树功. 广东省滨海湿地的现状与保护. 重庆环境科学, 1998, 20(1): 4-11.]
[4] Zheng Songfa, Zheng Dezhang, Dai Guangrui et al. Rational reservation and utilization of mangrove wetland in Qi'ao island, Zhuhai city. Guangdong Forestry Science and Technology, 1999, 15(4): 36-41.
[郑松发, 郑德璋, 戴光瑞 等. 珠海市淇澳岛红树林湿地合理保护与开发利用. 广东林业科技, 1999, 15(4): 36-41.]
[5] Li Sihai, Wang Hua, Jiang Xingwei. Application of CBERS-1 CCD in the mangrove remote sensing survey. Marine Science Bulletin, 2002, 22(6): 30-35.
[李四海, 王华, 蒋兴伟. 中巴资源卫星在红树林遥感调查中的应用研究. 海洋通报, 2002, 22(6): 30-35.]
[6] Li Chungan, Tan Bizeng. A study on remote sensing image processing approaches for mangrove inventory. Central South Forest Inventory and Planning, 2003, 22(2): 24-28.
[李春干, 谭必增. 红树林资源调查的遥感图象处理方法研究. 中南林业调查规划, 2003, 22(2): 24-28.]
[7] Li Tianhong, Zhao Zhijie, Han Peng. Detection and analysis of mangrove changes with multi temporal remotely sensed imagery in the Shenzhen River Estuary. Journal of Remote Sensing, 2002, 6(5): 364-369.
[李天宏, 赵智杰, 韩鹏. 深圳河河口红树林变换的多时相遥感分析. 遥感学报, 2002, 6(5): 364-369.]
[8] Wigneron J, Ferrazzoli P, Olioso A et al. A simple approach to monitor crop biomass from C-band radar data. Remote Sensing of Environment, 1999, 69: 179-188.
[9] Townsend P A. Estimating forest structure in wetlands using multitemporal SAR. Remote Sensing of Environment, 2002, 79: 288-304.
[10] Mougin E, Proisy C, Marty G et al. Multifrequency and multipolarization radar backscattering from mangrove forests, IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(1): 94-102.
[11] Moreau S, Toan T L. Biomass quantification of Andean wetland forages using ERS satellite SAR data for optimizing livestock management. Remote Sensing of Environment, 2003, 84: 477-492.
[12] Bergen K M, Dobson M C. Integration of remotely sensed radar imagery in modeling and mapping of forest biomass and net primary production. Ecological Modeling, 1999, 122: 257-274.
[13] Newkirk R T, Wang F. A common knowledge database for remote-sensing and geographic information in a change-detection expert system. Environment and Planning B, 1990, 17(4): 395-404.
[14] Sader S A, Waide R B, Lawrence W T et al. Tropical forest biomass and successional age class relationships to a vegetation index derived from Landsat TM data. Remote Sensing of Environment, 1989, 28: 143-156.
[15] Kurvonen L, Pulliainen J, Hallikainen M. Retrieval of biomass in boreal forests from multitemporal ERS-1 and JERS-1 SAR images. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(1): 198-205.
[16] Wang Bosun, Liao Baowen, Wang Yongjun et al. The Ecological System of Mangrove Forests of Shenzhen Bay and Its Sustainable Development. Beijing: Science Press, 2002. 3-11.
[王伯荪, 廖宝文, 王勇军 等. 深圳湾红树林生态系统及其持续发展. 北京: 科学出版社, 2002. 3-11.]
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