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引用本文:金鑫,李云梅,王桥,刘忠华,王彦飞,尹斌,张红,徐祎凡,徐昕,朱利,吴传庆.巢湖水体漫衰减系数空间差异及其遥感反演.湖泊科学,2011,23(2):230-238. DOI:10.18307/2011.0211
JIN Xin,LI Yunmei,WANG Qiao,LIU Zhonghua,WANG Yanfei,YIN Bin,ZHANG Hong,XU Yifan,XU Xin,ZHU Li,WU Chuanqing.Spatial variability and diffuse attenuation coefficient of remote sensing inversion in Lake Chaohu. J. Lake Sci.2011,23(2):230-238. DOI:10.18307/2011.0211
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巢湖水体漫衰减系数空间差异及其遥感反演
金鑫1, 李云梅1, 王桥2, 刘忠华1, 王彦飞1, 尹斌1, 张红1, 徐祎凡1, 徐昕1, 朱利2, 吴传庆2
1.南京师范大学虚拟地理环境教育部重点实验室, 南京 210046;2.环境保护部卫星环境应用中心, 北京 100029
摘要:
根据2009年6月巢湖32个样点的实测数据, 分析巢湖水体漫衰减系数光谱特征、主导因子、空间分布规律以及400-700nm各波段KdKd(490)之间的关系, 并在此基础上, 建立了Kd的遥感反演模型.结果表明:巢湖水体Kd具有一致的光谱特征, 400-600nm之间Kd随波长的增加呈指数衰减趋势, 在600-700nm之间的变化较小, 部分点位在波长675nm附近出现峰值, 700-900nm之间Kd呈现出类似于纯水的吸收光谱特征;巢湖中无机颗粒物是水体漫衰减的主导因子, 有机悬浮物影响次之, CDOM的影响最小;巢湖东半湖区Kd(490)普遍高于西半湖区, 巢湖中部Kd(490)等值线分布较密集, 湖区其他部分则相对稀疏;利用591、702、842nm处的遥感反射率进行多元线性回归反演得到的Kd(490)与实测Kd(490)之间的平均相对误差为7.85%;同时, 400-550nm波段范围内, 可以利用线性关系和Kd(490)对Kd(λ, λ≠490nm)进行参数化表示, 在550-700nm波段范围则可采用常数与Kd(490)的乘积来表示Kd(λ, λ≠490mn).通过遥感反射率反演Kd(490), 进而推算Kd(λ), 其结果与实测Kd之间的平均相对误差为6.14%。
关键词:  漫衰减系数  多元线性回归  空间差异  参数化  巢湖
DOI:10.18307/2011.0211
分类号:
基金项目:国家水环境遥感技术体系研究与示范项目(2009ZX07527-006)、国家自然科学基金项目"面向湖泊水色遥感的多源数据融合与生成研究"(40971215)和南京师范大学优秀硕士论文培育计划(2010ss012)联合资助
Spatial variability and diffuse attenuation coefficient of remote sensing inversion in Lake Chaohu
JIN Xin1, LI Yunmei1, WANG Qiao2, LIU Zhonghua1, WANG Yanfei1, YIN Bin1, ZHANG Hong1, XU Yifan1, XU Xin1, ZHU Li2, WU Chuanqing2
1.Key Laboratory of Virtual Geographic Environment of Education Ministry, Nanjing Normal University, Nanjing 210046, P.R.China;2.Satellite Environment Application Center, Ministry of Environmental Protection, Beijing 100029, P.R.China
Abstract:
According to the in situ measured data on 32 sampling sites in Lake Chaohu in June 2009, the spectral characteristics of diffuse attenuation coefficient (Kd), dominant factors, spatial distribution, as well as the relationship between Kd and Kd (490) in 400-700nm bands were analyzed.On the basis of these analysis, remote sensing inversion model was developed to calculate Kd (490).The results indicate that presented the consistent spectral characteristics.The Kd in 400-600nm showed a exponential decay trend, but Kd from 600nm to 700nm didn't correlate with wavelength.Due to the higher concentration of phytoplankton in some locations, peak values of Kd appeared at 675nm;but Kd showed a feature that was similar to that of pure water in 700-900nm.The dominant factor of diffuse attenuation coefficient was inorganic particles in Lake Chaohu, organic particles took the second place, and CDOM held a minimal impact.In general, Kd(490) in the eastern part of the Lake Chaohu was higher than that in the western part.In the central part, the contour lines of Kd(490) were denser than those in other parts of the lake.Kd(490) was inversed by multivariate linear regression model established with Rrs(591), Rrs(702) and Rrs(842).And the average relative error between measured and in versed Kd (490) was 7.85%.At the same time, the relationship between Kd(λ, λ≠ 490nm) and Kd(490) could be parameterized with wavelength by linear formula in 400-550nm.From 550nm to 700nm Kd(λ, λ≠490nm) was obtained from multiplying Kd(490) by a constant.The relative error between the observed Kd and the Kd(λ), which was calculated by Kd(490) by inversing of the Rrs, was 6.14%.
Key words:  Diffuse attenuation coefficient  multivariate linear regression  spatial variability  parametrization  Lake Chaohu
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