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半干旱区内陆湖泊透明度高光谱估测模型研究——以松嫩平原查干湖为例
引用本文:宋开山,张柏,王宗明,段洪涛,张渊智,李方. 半干旱区内陆湖泊透明度高光谱估测模型研究——以松嫩平原查干湖为例[J]. 水科学进展, 2006, 17(6): 790-796
作者姓名:宋开山  张柏  王宗明  段洪涛  张渊智  李方
作者单位:中国科学院东北地理与农业生态研究所,吉林,长春,130012;中国科学院东北地理与农业生态研究所,吉林,长春,130012;中国科学院东北地理与农业生态研究所,吉林,长春,130012;中国科学院东北地理与农业生态研究所,吉林,长春,130012;中国科学院东北地理与农业生态研究所,吉林,长春,130012;中国科学院东北地理与农业生态研究所,吉林,长春,130012
基金项目:中国科学院基金;国家自然科学基金
摘    要:通过实测查干湖高光谱数据,建立透明度(Secchi Disk Depth,SDD)单波段估测模型、比值估测模型以及神经网络高光谱估测模型,并以确定性系数R2以及剩余残差RMSE为指标进行了验证.通过对单波段估测模型和比值估测模型进行比较发现,单波段模型估测结果与比值模型相差无几,而水体透明度经对数处理有利于模型精度提高,但是神经网络模型是三者中最优的.查干湖透明度高光谱定量估测模型的建立,有利于今后利用遥感影像,对查干湖水体透明度进行全面估测,对于研究和监测查干湖水体水质状况有重要意义.

关 键 词:半干旱区  内陆湖泊  透明度  高光谱  查干湖
文章编号:1001-6791(2006)06-0790-07
收稿时间:2005-07-20
修稿时间:2005-11-30

Hyperspectral model for transparency of Chagan lake in semi-arid environment of Songnen plain
SONG Kai-shan,ZHANG Bai,WANG Zong-ming,DUAN Hong-tao,ZHANG Yuan-zhi,LI Fang. Hyperspectral model for transparency of Chagan lake in semi-arid environment of Songnen plain[J]. Advances in Water Science, 2006, 17(6): 790-796
Authors:SONG Kai-shan  ZHANG Bai  WANG Zong-ming  DUAN Hong-tao  ZHANG Yuan-zhi  LI Fang
Affiliation:Northeast Institute of Geography and Agricultural Ecology, CAS, Changchun 130012, China
Abstract:The transparency,which can demonstrate the limpid or muddy degree of lake water also be used to evaluate water eutrophic state,is one of the water body visible degree indicators.The traditional transparency of surface water is observed with Secchi Disk.It is time-consuming and strenuous,and only represents some local information.The remote sensing technology,which can cover large area simultaneously and periodically, may deal with this kind of limitation effectively.In this paper,77 spectral reflectance data of different water sites in Chagan lake were collected during 6 field works,and the water transparency data were acquired simultaneously.the linear regression constructed with every single band of reflectance and derivative against the water transparency data;the band ratio model with the reflectance of 780*!nm and 654*!nm also established.Finally,ANN-BP model is established with diagnostic band reflectance and derivative as the input vector.The result shows that water transparency has an intimate relation with water reflectance,and correlation coefficient is about 0.5 in blue and green spectral region,it is about 0.6 in red spectral region;while it obtains the maximum value in short wave of near infrared region.As for derivative reflectance,it also obtains higher value in near infrared spectral region.The regression model established with single band gets the similar performance as that with band ratio as regression dependent variable.By comparison,the ANN-BP model performed best with determination coefficient(R~2) of 0.98.It indicates that hyperspectral remote sensing models established for estimation Chagan lake water transparency can obtain the comparatively accurate result.The construction of hyperspectral models in Chagan lake will to help estimate the water body transparency with satellite images,and also provide a method for remote sensing monitoring of other inner water body with similar water status as that in Chagan lake.
Keywords:Semi-arid region  inland lake  Secchi Disk Depth  Hyperspectral  Chagan lake
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