基于高光谱影像湖泊叶绿素a浓度反演分析

针对湖泊叶绿素a浓度的快速变化及水体富营养化问题,以太湖水体为例,利用太湖区域2019年10月、11月和12月的珠海一号高光谱影像,采用波谱特征分析、主成分分析、皮尔逊相关系数、建立反演模型分析江苏省太湖区域水体叶绿素a浓度的分布状态以及时空变化状况。通过主成分分析划分与水体信息相关的成分,提出采用珠海一号高光谱影像的中红外波段建立耦合可见光和近红外辐射信号的WCI模型。结果表明:(1)水体光谱曲线特征与主成分分析结果一致,分别为光合作用波段、细胞散射波段和水体增温波段。(2)改进的耦合可见光与中红外辐射信号的建立的WCI模型的反演精度最高,均方根误差RMSE为(1.4008 mg·L^-1),平均相对误差(MRE)为10.69%。(3)2019年10月一12月间,湖泊叶绿素浓度整体变化不大,太湖叶绿素a浓度的遥感反演结果总体上呈现为湖西区域浓度较低,湖东区域浓度较高的特征。     

Landsat数据在解析太湖水体溶解性有机碳影响机制中的应用

流域水体溶解性有机碳是碳循环的重要组成部分。本研究以太湖流域气象数据、遥感反演参数和2015年5月的一期Landsat-8 OLI_TIRS卫星数字影像为基础,分析Landsat水质模型反演数据和太湖水体溶解性有机质(DOM)各参数的相关性,阐明湖水DOM来源及不同来源DOM特性。结果表明:以Landsat红光波段、近红外波段和蓝光波段为基础反演的叶绿素a浓度、蓝藻密度、透明度和浊度等水质参数和遥感水质监测中归一化悬浮物指数均与太湖水体DOC浓度分布一致,且DOM主要为内生源;依据Landsat影像对太湖子流域进行土地利用监督分类,表明流域土地利用/覆被方式是影响类蛋白物质含量、芳香度等的重要因素。研究证实,遥感反演是获取水体有机质信息的重要数据来源,可靠性强并能够表征DOM来源、性质及影响程度,是理解环境碳循环的重要技术手段,也为太湖流域的碳库计算、水体生态风险评价、流域生态环境变化等监测提供了参考。     

基于ETM+影像的千岛湖叶绿素a浓度卫星遥感反演研究

以千岛湖为研究对象,利用Landsat 7 ETM+遥感影像与野外实测数据,建立叶绿素a浓度的遥感定量反演模型。将叶绿素a浓度与波段反射率组合进行Pearson相关性分析,选择(B4+B2)/B3波段组合构建叶绿素a反演模型,并得到千岛湖叶绿素a浓度的时空分布。结果表明:(1)2007年千岛湖叶绿素a浓度低于4μg/L的水体面积占水体总面积达到99%以上,整体水质优良;(2)千岛湖叶绿素a浓度随季节变化特征明显,夏季容易出现局地高值,秋季平均浓度整体升高;(3)通过反演不同时期的叶绿素a浓度分布,可以刻画出千岛湖藻类的消长过程,从空间上发现易爆发富营养化的区域。该反演模型能较为精确地估算千岛湖的叶绿素a浓度,对今后水体富营养化的监测和预警具有重要意义。     

真光层深度的遥感反演及其在富营养化评价中的应用

真光层深度直接影响水体中浮游植物的分布和初级生产力以及水体生态环境,是水生态研究的一个重要参数.利用2006年10月24日～11月2日太湖水下实测光谱数据和光合有效辐射(PAR)数据,通过数据的处理和分析,尝试建立真光层深度与水面以下遥感反射率的关系模型,并利用真光层深度与透明度的关系,建立水体富营养化真光层深度评价模型.研究结果表明:真光层深度与归一化遥感反射率具有很好的相关性;选用特定波段的归一化反射率作为变量,建立两者的关系模型能较好的反演真光层深度,所建立的模型算法中,指数模型拟合方程的综合效果好于其他模型,波段比值算法反演精度要好于单波段算法;利用利用真光层深度进行富营养化评价具有一定的应用价值,利用该模型对太湖水体进行富营养化评价,得出太湖西部湖区大部分已富营养化,东部湖区处于中营养化和轻度富营养化状态.     

太湖春季水体固有光学特性及其对遥感反射率变化的影响

吸收特性和后向散射特性是水体重要的光学特性,同时也是建立生物光学模型的基本参数。利用2009年4月太湖春季实测数据,结合生物光学模型推导了太湖春季水体颗粒物后向散射系数,在此基础上分析了太湖春季水体的吸收特性和后向散射特性,并利用经验正交分解方法对遥感反射率变化的影响因子进行了分析。结果表明：（1）非色素颗粒物是影响太湖春季水体吸收特性的主导因子,色素颗粒物和CDOM对总吸收（不包含纯水）的贡献相对较小,且色素颗粒物在梅梁湾湖区的包裹效应明显大于其他湖区。（2）颗粒物后向散射系数与总悬浮物和无机悬浮物具有很强的相关性（相关系数均在0.88以上）,与有机悬浮物的相关性相对较弱（相关系数均在0.73以下）,且水体中多次散射对水面总辐亮度有较大的贡献,平均贡献率高达93.46%。（3）利用经验正交分解方法将遥感反射率变化光谱分解成3个正交因子,3个正交因子总共解释了约99%的遥感反射率变化信息,其中,第一正交因子解释了93%的变化信息,第二和第三正交因子分别解释了5%和1%的变化信息。通过对各正交因子与水体不同组分的吸收和后向散射系数进行相关性分析得出,颗粒物的后向散射对水面反射光谱的形成具有非常重要的影响,太湖春季水体遥感反射率的变化主要取决于无机颗粒物的吸收和后向散射,有机颗粒物对遥感反射率的变化影响较小。     

基于遥感的官厅水库水质监测研究

遥感监测具有监测面积广、速度快、成本低等优势,常用于大面积水质监测。以北京官厅水库为研究对象,通过野外和实验室测量数据建立水质参数遥感反演的生物光学模型,对夏季官厅水库的非色素颗粒物浓度、叶绿素a浓度和有色可溶性有机物(CDOM)浓度进行了反演。该模型研究的目的就是通过建立反演模型,利用卫星数据进行水质参数反演,从而得到大面积水体的水质分布图。采用CHRIS/Proba高光谱数据反演官厅水库的水体组分浓度,对库区水质反演要素的空间分布规律进行了分析。结果表明,所采用的遥感反演模型基本适用于官厅水库水质监测,反演出的叶绿素a、总悬浮物和CDOM的空间分布与实际测量值的空间分布基本吻合。     

太湖水色因子空间分布特征及其对水生植物光合作用的影响

利用太湖全湖64个采样点的数据,分析了各水色因子及真光层深度的空间分布和变化特征,并探讨了其对水生植物光合作用的影响.结果表明:叶绿素a浓度在全湖间的差异最大,其变化范围为1.67～159.94μg.L-1,均方差为41.03μg.L-1,在梅梁湾、竺山湖、夹浦港和小梅口附近湖区,叶绿素a浓度较高且空间变化明显,等值线在这些湖区密集分布;悬浮物浓度变化次之,其含量在6.47～143.47mg.L-1之间变化,均方差为31.63mg.L-1,其在大浦港和小梅口入湖口附近湖区的空间变化明显,等值线分布密集;有色可溶性有机物(CDOM)吸收系数在全湖变化较小,没有明显的空间变化特征;真光层深度受悬浮物和叶绿素的共同影响,其空间分布特征与悬浮物相反.     

基于光谱特征和HSV变换融合MODIS影像的滇池叶绿素a浓度监测

使用实测高光谱数据,研究滇池水体的光谱特征,应用统计方法建立滇池叶绿素a浓度的高光谱反演模型,并基于滇池水体的光谱特征,运用HSV变换融合遥感影像技术,监测水体叶绿素a浓度分布。结果表明:滇池水体光谱的反射峰位于550和700nm附近;此2个反射峰的位置和大小对水体叶绿素a浓度的变化反应最敏感。随着水体叶绿素a浓度升高,2个反射峰的峰值越接近,同时,550nm附近反射峰向短波方向偏移,而700nm附近反射峰向长波方向偏移。用这2个反射峰峰值的差值作为参数建立的滇池水体叶绿素a浓度估测模型,其精度较高;HSV变换融合MODIS遥感影像的假彩色合成图能直观反演滇池水体叶绿素a浓度的空间分布。     

联合GF-6和Sentinel-2红边波段的森林地上生物量反演

光谱反射率能反映地物差异,是森林地上生物量（Aboveground Biomass,AGB）遥感反演的理论基础。红边波段处于近红外与红光波段交界处快速变化的区域,能对植被冠层结构和叶绿素含量的微小变化做出快速反应,对植被生长状况较敏感。研究以GF-6和Sentinel-2多光谱影像作为数据源,结合野外调查AGB数据,构建落叶松和樟子松AGB线性和非线性估测模型,通过比较模型精度选择最优模型进行森林AGB反演和空间分布制图。结果表明：GF-6和Sentinel-2影像红边波段反射率与落叶松、樟子松AGB均呈显著相关（P<0.05）,红边波段对AGB估测较敏感。多变量估测模型整体估测效果优于单变量模型,所有模型中多元线性回归模型取得了最优的决定系数（落叶松R²=0.66,樟子松R²=0.65）和最低的均方根误差（落叶松RMSE=31.45 t/hm²,樟子松RMSE=54.77 t/hm²）。相比单个数据源,联合GF-6和Sentinel-2影像构建的多元线性回归模型估测效果得到了显著提升,模型RMSE对于落叶松和樟子松AGB估测分别最大降低了22.9%和11.2%。增加红边波段进行AGB估测能显著提高模型估测精度,三组数据源分别加入红边波段信息后进行建模,模型RMSE得到了显著降低。GF-6拥有800 km观测幅宽和高效的重访周期,可以快速地提供大尺度时间序列数据,在森林地上生物量反演和动态监测方面有着很大潜力。     

太湖典型草、藻型湖区紫外辐射的衰减及影响因素分析

2004年4月通过野外原位观测和实验室测定相结合的方法对东太湖和梅梁湾典型草、藻型湖区紫外辐射光谱衰减及影响因素进行了研究。结果表明,320nm(UV-B)、380nm(UV-A)的衰减系数在6.33~19.59m-1、3.41~13.64m-1间变化,对应的1%表面光强穿透深度分别为0.24~0.73m、0.35~1.35m,到达湖面的99%UV-B辐射在0.5m左右表层水就衰减完毕,东太湖和梅梁湾紫外辐射衰减系数存在明显的湖区差异;溶解性有机碳(DOC)的浓度在6.60~17.17mg/L间变化,其均值为(9.99±2.48)mg/L;375nm波长处CDOM吸收系数为1.78~6.25m-1,均值为(3.70±1.10)m-1;在短波部分CDOM吸收与DOC浓度存在显著性相关,相关性大致随波长降低而增加,320nm处的线性关系式:ad320=0.885DOC 2.182;紫外辐射衰减主要受制于水体中的CDOM浓度,衰减系数与DOC浓度、CDOM吸收系数存在显著性相关,340nm处的关系式分别为:Kd340=0.82 1.05DOC、Kd340=1.98 1.49ad340。在太湖紫外辐射衰减还要受悬浮物和叶绿素a浓度的影响,衰减系数与DOC、叶绿素a和悬浮物浓度多元回归的结果明显要高于单独与DOC浓度或CDOM吸收系数的回归结果。     

Pre-classification improves relationships between water clarity, light attenuation, and suspended particulates in turbid inland waters

Relationships between water clarity, light attenuation, and concentration of suspended particulates are important in water optics and remote sensing, but are not well described yet, especially for optically complex turbid inland waters. In this study, based on 3-year data from Chinese lakes (Lake Taihu, Lake Chaohu, and Three Gorges reservoir), we propose a new approach to describe the inter-relationships of these bio-optical variables. This approach includes a pre-classification step of the waters into three types based on a semi-analytical parameter C _s before establishing the relationships. Our results showed that the pre-classification of waters increased model accuracies both for Z _SD (Secchi depth) versus K _d (diffuse attenuation coefficient) and K _d versus TSM (total suspended matter concentration). The quasi-theoretical model described better the relationship between Z _SD and K _d than the empirical model. For the K _d versus TSM relationship, linear models proved suitable for the Type 2 and Type 3 waters, whereas the power function model gave a better fit for the Type 1 water. Testing of the proposed relations with an independent dataset showed mean absolute percentage errors (MAPE) mostly below 30%. The findings of this study clarify the relationships between Z _SD, K _d, and TSM, and improve our bio-optical understanding of complex turbid inland waters.     

Specific inherent optical quantities of complex turbid inland waters, from the perspective of water classification

For optically complex turbid productive waters, the optical behavior of suspended particles is the keynote of characterizing the unordered variations of inherent optical properties (IOPs). Multiple bio-optical measurements and sampling of optically active substances were performed in Lake Taihu, Lake Chaohu, and Lake Dianchi, and Three Gorges reservoir of China, in 2008, 2009, and 2010. On the basis of obtaining adequate observation data, we developed an improved and robust water classification approach, by which complex water conditions were divided into three types, i.e., Type 1 (Normalized Trough Depth at 675 nm, hereafter NTD675, ≥0.092), Type 2 (0 < NTD675 < 0.092), and Type 3 (NTD675 ≤ 0). Furthermore, the specific inherent optical quantities for suspended particles, including the specific absorption coefficient of non-algal particles (a*(nap)), the specific absorption coefficient of phytoplankton (a*(ph)), and the specific scattering coefficient of the suspended particles (b*(p)), were determined for the three classified types of waters. The validation results showed that our proposed values for these specific inherent optical quantities presented relatively high predictive accuracies, with most mean absolute percentage errors (MAPE) near 30%, and more importantly, performed much better than that of non-classified waters. Additionally, relative contributions of phytoplankton and non-algal particles to the total particulate absorption and scattering, as well as the spectra, were also analyzed, and the differences among the three classified types of waters were clarified. Overall, the results obtained in this study provide us with new knowledge for understanding complex varied inherent optical properties of highly turbid productive waters.     

内陆湖泊水体固有光学特性的典型季节差异

固有光学特性是水体光学性质的重要内容，是水色反演分析模型建立的基础.本研究利用定量滤膜技术（QFT）和后向散射测量仪BB9，对太湖梅梁湾夏、冬季水体的有色可溶性有机物(CDOM)吸收系数、总悬浮物吸收系数和总悬浮物后向散射系数进行了观测.在分别对两季节水体组分吸收系数、后向散射系数光谱特征分析的基础上，阐明其季节差异性，并结合水质参数的变化，揭示导致两季节水体固有光学特性不同的原因，达到通过固有光学量反映水环境状态的目的.初步建立了后向散射系数与悬浮物浓度的关系模型，为分析模型的构建提供了参数保障.     

Lake Topography and Wind Waves Determining Seasonal-Spatial Dynamics of Total Suspended Matter in Turbid Lake Taihu,China: Assessment Using Long-Term High-Resolution MERIS Data

Multiple comprehensive in situ bio-optical investigations were conducted from 2005 to 2010 and covered a large variability of total suspended matter (TSM) in Lake Taihu to calibrate and validate a TSM concentration estimation model based on Medium Resolution Imaging Spectrometer (MERIS) data. The estimation model of the TSM concentration in Lake Taihu was developed using top-of-atmosphere (TOA) radiance of MERIS image data at band 9 in combination with a regional empirical atmospheric correction model, which was strongly correlated with the in situ TSM concentration (r ² = 0.720, p<0.001, and n = 73). The relative root mean square error (RRMSE) and mean relative error (MRE) were 36.9% and 31.6%, respectively, based on an independent validation dataset that produced reliable estimations of the TSM concentration. The developed algorithm was applied to 50 MERIS images from 2003 to 2011 to obtain a high spatial and temporal heterogeneity of TSM concentrations in Lake Taihu. Seasonally, the highest and lowest TSM concentrations were found in spring and autumn, respectively. Spatially, TSM concentrations were high in the southern part and center of the lake and low in Xukou Bay, East Lake Taihu. The lake topography, including the water depth and distance from the shore, had a significant effect on the TSM spatial distribution. A significant correlation was found between the daily average wind speed and TSM concentration (r ² = 0.685, p<0.001, and n = 50), suggesting a critical role of wind speed in the TSM variations in Lake Taihu. In addition, a low TSM concentration was linked to the appearance of submerged aquatic vegetation (SAV). Therefore, TSM dynamics were controlled by the lake topography, wind-driven sediment resuspension and SAV distribution.     

Effects on water quality following water transfer in Lake Taihu,China

To improve lake water quality, two experimental water transfers were conducted in winter–spring 2002 and summer–fall 2003 in Lake Taihu, a large shallow lake in China. Both observed data and estimated nutrient concentration with the elimination of effect from natural factors were used in this research to assess the spatial and temporal variations of water quality improvement induced by the two transfers. Clear improvement of water quality associated with deduction of TN, TP, and chlorophyll a (Chl-a) concentration was observed in many areas of the lake during the two water transfers. The over all reduction in TP concentration was notable in Southwest Zone, Centre Zone, and Dongtaihu Bay during the 2002 transfer, and was more pronounced in Meiliang Bay and Southwest Zone during the 2003 transfer period. However, the reduction in TN and Chl-a concentration was relatively weak. Results indicate a less impressive improvement of water quality from water transfer in large lakes than in small ones as the effectiveness of water transfer in large lakes is generally limited by large size, complex boundaries, and the difficulty of finding proper water source to be transferred. The comparison of observed and estimated water transfer effectiveness suggests a greater improvement of water quality derived from water transfer than appeared from the observation.     

Artificial Regulation of Water Level and Its Effect on Aquatic Macrophyte Distribution in Taihu Lake

Management of water levels for flood control, water quality, and water safety purposes has become a priority for many lakes worldwide. However, the effects of water level management on the distribution and composition of aquatic vegetation has received little attention. Relevant studies have used either limited short-term or discrete long-term data and thus are either narrowly applicable or easily confounded by the effects of other environmental factors. We developed classification tree models using ground surveys combined with 52 remotely sensed images (15–30 m resolution) to map the distributions of two groups of aquatic vegetation in Taihu Lake, China from 1989–2010. Type 1 vegetation included emergent, floating, and floating-leaf plants, whereas Type 2 consisted of submerged vegetation. We sought to identify both inter- and intra-annual dynamics of water level and corresponding dynamics in the aquatic vegetation. Water levels in the ten-year period from 2000–2010 were 0.06–0.21 m lower from July to September (wet season) and 0.22–0.27 m higher from December to March (dry season) than in the 1989–1999 period. Average intra-annual variation (CV_a) decreased from 10.21% in 1989–1999 to 5.41% in 2000–2010. The areas of both Type 1 and Type 2 vegetation increased substantially in 2000–2010 relative to 1989–1999. Neither annual average water level nor CV_a influenced aquatic vegetation area, but water level from January to March had significant positive and negative correlations, respectively, with areas of Type 1 and Type 2 vegetation. Our findings revealed problems with the current management of water levels in Taihu Lake. To restore Taihu Lake to its original state of submerged vegetation dominance, water levels in the dry season should be lowered to better approximate natural conditions and reinstate the high variability (i.e., greater extremes) that was present historically.     

Variability of bio-optical parameters in two North-European large lakes

The bio-optical properties of some North-European large lakes were examined during 1995–2005 using field data and laboratory measurements. The key variables were optically active substances (OAS: chlorophyll, total suspended matter and dissolved organic matter), Secchi depth, and the “spectrometric” and diffuse light attenuation coefficients. Our main study sites were Lake Peipsi and Lake Võrtsjärv in Estonia, both eutrophic with mean Secchi depth below 3 m. The measured water parameters were compared with those obtained from two clear-water Swedish lakes, Lake Vänern and Lake Vättern. This comparison describes the bio-optical differences of the water in eutrophic and oligotrophic lakes. The variability of water parameters in the turbid Estonian lakes was rather high, e.g. the chlorophyll content varied from 1.8 to 102 mg m^?3 and the diffuse light attenuation coefficient from 0.92 to 6.5 m^?1. The change in water properties depends on the season and the biological activity of phytoplankton. We found no apparent long-time trend in water properties. Regression analysis showed that in the turbid Estonian lakes the optical properties were well correlated with chlorophyll and suspended matter, but not with dissolved organic matter. The highest determination coefficients (between 0.73 and 0.89) were obtained when the optical parameters were correlated with all three OAS together (multiple regressions). Our results concerning the variability and interconnections among bio-optical parameters in two Estonian large lakes illustrate the effect of OAS and light field on the ecological conditions of lakes in general.     

Quantifying measures to limit wind-driven resuspension of sediments for improvement of the ecological quality in some shallow Dutch lakes

Although phosphorus loadings are considered the main pressure for most shallow lakes, wind-driven resuspension can cause additional problems for these aquatic ecosystems. We quantified the potential effectiveness of measures to reduce the contribution of resuspended sediments, resulting from wind action, to the overall light attenuation for three comparable shallow peat lakes with poor ecological status in the Netherlands: Loosdrecht, Nieuwkoop, and Reeuwijk (1.8–2.7 m depth, 1.6–2.5 km fetch). These measures are: 1. wave reducing barriers, 2. water level fluctuations, 3. capping of the sediment with sand, and 4. combinations of above. Critical shear stress of the sediments for resuspension (V _crit), size distribution, and optical properties of the suspended material were quantified in the field (June 2009) and laboratory. Water quality monitoring data (2002–2009) showed that light attenuation by organic suspended matter in all lakes is high. Spatial modeling of the impact of these measures showed that in Lake Loosdrecht limiting wave action can have significant effects (reductions from 6% exceedance to 2% exceedance of V _crit), whereas in Lake Nieuwkoop and Lake Reeuwijk this is less effective. The depth distribution and shape of Lake Nieuwkoop and Lake Reeuwijk limit the role of wind-driven resuspension in the total suspended matter concentration. Although the lakes are similar in general appearance (origin, size, and depth range) measures suitable to improve their ecological status differ. This calls for care when defining the programme of measures to improve the ecological status of a specific lake based on experience from other lakes.