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水体叶绿素含量的遥感定量模型
引用本文:佘丰宁,蔡启铭,陈宇炜,李旭文.水体叶绿素含量的遥感定量模型[J].湖泊科学,1996,8(3):201-207.
作者姓名:佘丰宁  蔡启铭  陈宇炜  李旭文
作者单位:中国科学院南京地理与湖泊研究所 南京210008(佘丰宁,蔡启铭,陈宇炜),江苏省环境信息中心 南京210013(李旭文)
基金项目:国家自然科学基金(39500027),江苏省社会发展研究基金(BS95035)资助项目
摘    要:利用1992年7月25日陆地卫星TM数据与该日同步湖面多点观测资料,对太湖北部水体叶绿素含量与不同波段遥感值的关系进行了定量分析,发现TM3与Chl-a含量有负幂次关系,TM4,TM7则分别与Chl-a含量有较好的正、负线性相关性。

关 键 词:叶绿素含量  遥感  定量模型  太湖  水体  湖泊
收稿时间:1995/12/14 0:00:00
修稿时间:1996/3/20 0:00:00

Quantitative analysis on chlorophyll-a concentration in taihu lake using thematic mapper data
She Fengning,Li Xuwen,Cai Qiming Chen and Yuwei.Quantitative analysis on chlorophyll-a concentration in taihu lake using thematic mapper data[J].Journal of Lake Science,1996,8(3):201-207.
Authors:She Fengning  Li Xuwen  Cai Qiming Chen and Yuwei
Institution:Nanjing Institute of Geography & Limnology, Nanjing 210008,Jiangsu Institute of Environmental Information, Nanjing 210013,Nanjing Institute of Geography & Limnology, Nanjing 210008 and Nanjing Institute of Geography & Limnology, Nanjing 210008
Abstract:The LANDSAT Thematic Mappper (TM) data on July 25, 1992 were used together with concurrent measurement of Chlorophyll-a concentration in the northern part of Taihu Lake to relate the TM data quantitatively to Chl-a. Firstly, the statistical relationships be-tween TM data on each band at sample sites and measured Chl-a were analyzed. It is shown that the third band (TM3) data power-law decays with the increase of Chl-a, while the forth band (TM4) and the seventh band (TM7) separately show the positive and negative linear correlations with the Chl-a concentration. These sensitive bands (TM3, TM4 and TM7) were selected as independent variables, whose optimum combinations were examined through their linearly and non-linearly alterations in order to obtain a new quantitative index for Chl-a esti-mation. Meanwhile, a method of revising this index to remove the influences of ground irradi-ation changes is presented in this paper. It is found that there is a close linear interrelation be-tween the revised quantitative index and Chl-a concentration. Based on this interrelation, the final Chl-a estimation model was developed in this paper. The Chl-a values measured at several sample sites in Meiliang Bay on Oct. 29, 1992 were coincident with the calculated ones using this model. The statistical analysis and checking results show that this Chl-a estimation model can be applied to images of different dates and areas on similar weather condition because through irradiation amendment the factors of time and latitude have little interference with this model.
Keywords:Chlorophyll-a concentration  Thematic Mapper data  quantitative model  Taihu Lake
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