典型內(nèi)陸水體有色可溶性有機(jī)物遙感反演
發(fā)布時(shí)間：2018-10-13 19:18
【摘要】：有色溶解有機(jī)物(Chromophoric Dissolved Organic Matter,簡(jiǎn)稱CDOM),也稱黃色物質(zhì)(Yellow Substance),是一類廣泛分布于自然水體中的溶解有機(jī)物,是一種重要的水質(zhì)參數(shù),與懸浮物、浮游植物同屬于水色遙感的主要研究對(duì)象。遙感技術(shù)的應(yīng)用促進(jìn)了大尺度時(shí)間和空間范圍的水環(huán)境變化研究的開(kāi)展。相對(duì)于懸浮物和葉綠素a這兩種水質(zhì)參數(shù)而言,CDOM的遙感反演研究相對(duì)較少,并且研究區(qū)多是選擇光學(xué)性質(zhì)較簡(jiǎn)單的海洋水體。光學(xué)性質(zhì)較復(fù)雜的近海和內(nèi)陸水體CDOM的遙感反演研究相對(duì)較少。本文選取官?gòu)d水庫(kù)和太湖兩個(gè)典型內(nèi)陸水體為研究區(qū),以CDOM的吸收系數(shù)為濃度指標(biāo),開(kāi)展CDOM遙感反演研究。本文的主要?jiǎng)?chuàng)新點(diǎn)如下:(1)結(jié)合QAA_V4、QAA_V5兩個(gè)QAA改進(jìn)版本和QAA-CDOM方法,創(chuàng)新性的提出了QAA(V4)-CDOM,QAA(V5)-CDOM兩個(gè)方法,用于CDOM遙感反演。(2)依據(jù)光譜特征將太湖和官?gòu)d水庫(kù)水面光譜數(shù)據(jù)分為兩類,分別用QAA(V4)-CDOM和QAA(V5)-CDOM方法反演。在一定程度上解決了反演方法的季節(jié)性和區(qū)域性的限制。本文的主要內(nèi)容及結(jié)論如下:(1)本文用QAA-CDOM、QAA-E、董強(qiáng)提出的方法(本文中稱其為QAA-FOC)以及本文提出的QAA(V4)-CDOM,QAA(V5)-CDOM方法,共五種半解析方法用于CDOM反演。確定了官?gòu)d水庫(kù)用QAA(V4)-CDOM方法反演效果最好。對(duì)于太湖,QAA(V5)-CDOM方法反演結(jié)果精度最好,但仍有待提高。最終對(duì)太湖220個(gè)采樣點(diǎn)光譜數(shù)據(jù)分為了V4、V5兩類,分別用QAA(V4)-CDOM和QAA(V5)-CDOM方法進(jìn)行反演。分類反演后,較分類前反演精度得到了提升。(2)按照同樣的方法,對(duì)官?gòu)d水庫(kù)的60個(gè)采樣點(diǎn)進(jìn)行分類。綜合官?gòu)d水庫(kù)和太湖兩個(gè)研究區(qū),分析兩類數(shù)據(jù)任兩個(gè)波段比值與CDOM的相關(guān)性及高光譜數(shù)據(jù)的波段設(shè)置后,分別選定用Rrs(665)/Rrs(443)和Rrs(620)/Rrs(443)兩個(gè)波段比值,建立了基于水面光譜數(shù)據(jù)的經(jīng)驗(yàn)反演模型,反演結(jié)果的平均相對(duì)誤差分別為12.1%和18.8%,均方根誤差RMSE分別為0.157 m-1和0.192 m-1。(3)分別按季節(jié)、研究區(qū)和V4、V5類,分別逐波段分析了遙感反射率和CDOM的相關(guān)性,并建立了相應(yīng)的單波段CDOM反演經(jīng)驗(yàn)?zāi)Ｐ�。結(jié)果顯示,單個(gè)研究區(qū)春季和冬季的模型表現(xiàn)最好。夏季和秋季由于受浮游植物的干擾,反演效果不理想。綜合了不同研究區(qū)和不同季節(jié)的數(shù)據(jù)的反演模型效果不理想。由于水體區(qū)域性、季節(jié)性的差異影響,用單一波段建立模型反演CDOM是很困難的。(4)將分類反演的半解析方法和分類建立的基于波段比值的經(jīng)驗(yàn)反演模型,應(yīng)用于官?gòu)d水庫(kù)CHRIS和太湖MERIS高光譜數(shù)據(jù)的CDOM反演。官?gòu)d水庫(kù)沒(méi)有同步實(shí)測(cè)數(shù)據(jù)進(jìn)行反演精度評(píng)定,僅對(duì)比了半解析方法和經(jīng)驗(yàn)方法反演的結(jié)果,兩種方法的反演結(jié)果分布規(guī)律統(tǒng)一。太湖有75個(gè)準(zhǔn)同步點(diǎn),用于精度檢驗(yàn),檢驗(yàn)結(jié)果顯示,反演結(jié)果精度尚可。太湖五次實(shí)驗(yàn)覆蓋了春夏秋冬四個(gè)季節(jié),其中春、冬兩個(gè)季節(jié)反演結(jié)果較好,夏、秋兩個(gè)季節(jié)反演結(jié)果精度仍有待提升。
[Abstract]:(Chromophoric Dissolved Organic Matter, also called yellow substance (Yellow Substance), is a kind of dissolved organic matter widely distributed in natural water. It is an important water quality parameter, and also belongs to the main research object of water color remote sensing along with suspended substance and phytoplankton. The application of remote sensing technology promotes the research of water environment change in time and space. Compared with the suspended solids and chlorophyll a, the remote sensing inversion of CDOM is relatively few, and the study area is mostly ocean water with simple optical properties. Remote sensing inversion of CDOM in offshore and inland waters with complex optical properties is relatively rare. In this paper, two typical inland water bodies of Guanting Reservoir and Taihu Lake are selected as the study areas, and the absorption coefficient of CDOM is taken as the concentration index to carry out the CDOM remote sensing inversion study. The main innovations of this paper are as follows: (1) combining the two improved versions of QAA and QAA-CDOM method of QAA_V4,QAA_V5, two methods of QAA (V4) -CDOM,QAA (V5) -CDOM are innovatively proposed for CDOM remote sensing inversion. (2) according to the spectral characteristics, the spectral data of Taihu Lake and Guanting Reservoir are classified into two categories. QAA (V 4)-CDOM and QAA (V 5)-CDOM methods were used to inverse. To some extent, the seasonal and regional limitations of the inversion method are solved. The main contents and conclusions of this paper are as follows: (1) in this paper, five semi-analytical methods are used for CDOM inversion using the method proposed by QAA-CDOM,QAA-E, Dong Qiang (referred to in this paper as QAA-FOC) and the QAA (V4) -CDOM,QAA (V5) -CDOM method proposed in this paper. It is determined that QAA (V 4)-CDOM method is the best inversion method for Guanting Reservoir. For Taihu Lake, QAA (V 5)-CDOM method has the best inversion accuracy, but it still needs to be improved. Finally, the spectral data of 220 sampling points in Taihu Lake are divided into two categories: V4 (V4)-CDOM and QAA (V5)-CDOM. The data are retrieved by QAA (V4)-CDOM and QAA (V5)-CDOM respectively. After classified inversion, the accuracy of inversion is improved. (2) according to the same method, 60 sampling points in Guanting Reservoir are classified. After analyzing the correlation between the ratio of two bands and CDOM and the band setting of hyperspectral data in Guanting Reservoir and Taihu Lake, the ratios of Rrs (665) / Rrs (443) and Rrs (620) / Rrs (443) were selected. An empirical inversion model based on water surface spectral data is established. The average relative error of the inversion results is 12.1% and 18.8% respectively, and the root mean square error (RMSE) is 0.157 m-1 and 0.192 m ~ (-1) respectively. (3) according to season, study area and V _ 4 / V _ 5, respectively, The correlation between remote sensing reflectivity and CDOM is analyzed, and the corresponding empirical model of single band CDOM inversion is established. The results showed that the model performed best in spring and winter. Because of phytoplankton interference in summer and autumn, the inversion effect is not ideal. The inversion model which synthesizes the data of different research areas and different seasons is not satisfactory. Because of the influence of regional and seasonal differences of water body, it is difficult to establish a model for inversion of CDOM by using a single band model. (4) the semi-analytical method of classification inversion and the empirical inversion model based on band ratio are established. It is applied to CDOM inversion of CHRIS and MERIS hyperspectral data of Guanting Reservoir. The inversion accuracy of Guanting Reservoir is evaluated without synchronous measured data. Only the semi-analytical method and the empirical method are compared. The distribution of the inversion results of the two methods is uniform. There are 75 quasi-synchronous points in Taihu Lake, which are used for accuracy test. The five experiments of Taihu Lake cover four seasons of spring, summer, autumn and winter, among which the inversion results of spring and winter are better, and the accuracy of inversion results in summer and autumn still need to be improved.
【學(xué)位授予單位】：西安科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：X87
本文編號(hào)：2269649
[Abstract]:(Chromophoric Dissolved Organic Matter, also called yellow substance (Yellow Substance), is a kind of dissolved organic matter widely distributed in natural water. It is an important water quality parameter, and also belongs to the main research object of water color remote sensing along with suspended substance and phytoplankton. The application of remote sensing technology promotes the research of water environment change in time and space. Compared with the suspended solids and chlorophyll a, the remote sensing inversion of CDOM is relatively few, and the study area is mostly ocean water with simple optical properties. Remote sensing inversion of CDOM in offshore and inland waters with complex optical properties is relatively rare. In this paper, two typical inland water bodies of Guanting Reservoir and Taihu Lake are selected as the study areas, and the absorption coefficient of CDOM is taken as the concentration index to carry out the CDOM remote sensing inversion study. The main innovations of this paper are as follows: (1) combining the two improved versions of QAA and QAA-CDOM method of QAA_V4,QAA_V5, two methods of QAA (V4) -CDOM,QAA (V5) -CDOM are innovatively proposed for CDOM remote sensing inversion. (2) according to the spectral characteristics, the spectral data of Taihu Lake and Guanting Reservoir are classified into two categories. QAA (V 4)-CDOM and QAA (V 5)-CDOM methods were used to inverse. To some extent, the seasonal and regional limitations of the inversion method are solved. The main contents and conclusions of this paper are as follows: (1) in this paper, five semi-analytical methods are used for CDOM inversion using the method proposed by QAA-CDOM,QAA-E, Dong Qiang (referred to in this paper as QAA-FOC) and the QAA (V4) -CDOM,QAA (V5) -CDOM method proposed in this paper. It is determined that QAA (V 4)-CDOM method is the best inversion method for Guanting Reservoir. For Taihu Lake, QAA (V 5)-CDOM method has the best inversion accuracy, but it still needs to be improved. Finally, the spectral data of 220 sampling points in Taihu Lake are divided into two categories: V4 (V4)-CDOM and QAA (V5)-CDOM. The data are retrieved by QAA (V4)-CDOM and QAA (V5)-CDOM respectively. After classified inversion, the accuracy of inversion is improved. (2) according to the same method, 60 sampling points in Guanting Reservoir are classified. After analyzing the correlation between the ratio of two bands and CDOM and the band setting of hyperspectral data in Guanting Reservoir and Taihu Lake, the ratios of Rrs (665) / Rrs (443) and Rrs (620) / Rrs (443) were selected. An empirical inversion model based on water surface spectral data is established. The average relative error of the inversion results is 12.1% and 18.8% respectively, and the root mean square error (RMSE) is 0.157 m-1 and 0.192 m ~ (-1) respectively. (3) according to season, study area and V _ 4 / V _ 5, respectively, The correlation between remote sensing reflectivity and CDOM is analyzed, and the corresponding empirical model of single band CDOM inversion is established. The results showed that the model performed best in spring and winter. Because of phytoplankton interference in summer and autumn, the inversion effect is not ideal. The inversion model which synthesizes the data of different research areas and different seasons is not satisfactory. Because of the influence of regional and seasonal differences of water body, it is difficult to establish a model for inversion of CDOM by using a single band model. (4) the semi-analytical method of classification inversion and the empirical inversion model based on band ratio are established. It is applied to CDOM inversion of CHRIS and MERIS hyperspectral data of Guanting Reservoir. The inversion accuracy of Guanting Reservoir is evaluated without synchronous measured data. Only the semi-analytical method and the empirical method are compared. The distribution of the inversion results of the two methods is uniform. There are 75 quasi-synchronous points in Taihu Lake, which are used for accuracy test. The five experiments of Taihu Lake cover four seasons of spring, summer, autumn and winter, among which the inversion results of spring and winter are better, and the accuracy of inversion results in summer and autumn still need to be improved.
【學(xué)位授予單位】：西安科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：X87
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