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引用本文:邬国锋,刘耀林,纪伟涛.基于TM影像的水体透明度反演模型——以鄱阳湖国家自然保护区为例.湖泊科学,2007,19(3):235-240. DOI:10.18307/2007.0302
WU Guofeng,LIU Yaolin,JI Weitao.Landsat TM image-based retrieval model of water clarity:a case study of Lake Poyang National Nature Reserve, China. J. Lake Sci.2007,19(3):235-240. DOI:10.18307/2007.0302
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基于TM影像的水体透明度反演模型——以鄱阳湖国家自然保护区为例
邬国锋1,2, 刘耀林1,2, 纪伟涛3
1.武汉大学资源与环境科学学院, 武汉 430079;2.武汉大学教育部地理信息系统重点实验室, 武汉 430079;3.江西鄱阳湖自然保护区管理局, 南昌 330008
摘要:
以江西鄱阳湖国家自然保护区为例, 研究基于LandsatTM 5影像的水体透明度反演模型。结合6个时期的影像与对应的13个实测塞氏盘深度(SDD)数据建立了SDD的自然对数变换值与蓝、红波段的自然对数变换值的线性组合之间的回归模型, 即ln(SDD)=-4.016-0.7221n(blue)-0.587ln(red)。此模型能够解释88%的水体透明度变化。利用另外12个样点进行模型的检验。检验结果显示实际量测值与模型反演值之间的相关系数为0.93, 误差标准差等于0.22m。因此我们认为此模型获得了可以接受的结果。
关键词:  水体透明度  Landsat TM影像  反演模型  鄱阳湖
DOI:10.18307/2007.0302
分类号:
基金项目:国家自然科学基金(40271088);国家教育部留学回国人员基金(152174)联合资助
Landsat TM image-based retrieval model of water clarity:a case study of Lake Poyang National Nature Reserve, China
WU Guofeng1,2, LIU Yaolin1,2, JI Weitao3
1.School of Resource and Environmental Science, Wuhan University, Wuhan 430079, P. R. China;2.Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, P. R. China;3.Bureau of Jiangxi Poyang Lake National Nature Reserve, Nanchang 330008, P. R. China
Abstract:
Lakes play multiple important functions in economics, tourism, recreation and biodiversity conservation, and the successful performances of these functions are to a great extent influenced by water quality or water clarity.Therefore, monitoring, protecting and improving water clarity are indispensable for keeping the sustainability of these lake functions.This paper, with Lake Poyang National Nature Reserve, China as a case study, aimed to study Landsat TM5 imageries-based retrieval model of water clarity.Using 6 images combined with 13 field measured Secchi Disk Depths (SDD), we developed a regression model between the natural logarithm of SDD and the linear combination of the natural logarithms of TM blue and red bands, i.e.In (SDD) = -4.016 - 0.722 In (blue) -0.587 In(red), which could explain 88% of the SDD variation.12 sampling points were used to validate the developed model.The validating result showed the correlation coefficient between measured and retrieved value was 0.93 and the standard error was equal to 0.22 m.Therefore we believed reasonably that the model achieved an acceptable result.
Key words:  Secchi disk depth  Landsat TM imagery  retrieval model  Lake Poyang
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