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黄海、东海二类水体漫衰减系数与透明度反演模式研究 总被引：25，自引：0，他引：25
黄海、东海是典型的二类水体区域,总悬浮物含量高,水体光学特性复杂.利用2003年春秋季黄海、东海水色联合试验中获取的高质量现场实测数据,建立了由遥感反射比反演水体在490nm波段的漫衰减系数和海水透明度的统计反演模式.这两种模式皆采用490,555,670nm三个波段的组合,漫衰减系数的反演值和实测值的相关系数为0.96,平均相对误差为17.2%;透明度的反演值与实测值的相关系数为0.95,平均相对误差为16.8%.对两种反演模式对遥感反射比输入误差的敏感性进行了分析,结果表明反演模式对±5%的遥感反射比输入误差导致490nm波段的漫衰减系数反演误差最大为27.3%,透明度最大误差为22.7%,并利用2003年春秋季同一海区的实测数据对模型进行了检验,漫衰减系数的平均相对误差为25.0%,透明度的为16.5%.给出了412,443,510,520,555,565nm各波段的漫衰减系数同波段490nm的漫衰减系数之间的关系,结果表明,在400~600nm波段中的每一个波段的漫衰减系数与490nm波段的漫衰减系数的相关性较高,相关系数都超过了0.98.这样利用建立的各波段漫衰减系数关系模型可以从一个已知波段的漫衰减系数反演出其他任何波段的漫衰减系数,这就在水色反演和应用中大大减少了未知因子的个数. 相似文献
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波形分解是机载测深LiDAR数据处理的关键环节,为水深计算、底质类型反演和水体浑浊度分析等提供基础信息。针对传统测深LiDAR波形分解算法受噪声干扰严重、对微弱及叠加信号分解不准确的问题,提出一种新的波形分解算法。对原始波形经小波滤波后,计算滤波前后尾段波形的差异,估计回波信号的噪声;利用高斯模型,从原始波形数据中不断分解出经LM算法优化参数后的波形分量,直到剩余波形中最大峰值与优化后的参数小于一定阈值。通过南海实测数据进行验证,实验结果表明:该算法分解弱回波能力强,不论在浅水(回波发生叠加)还是深水,其分解精度均优于传统算法。 相似文献
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机载激光测深技术因其特有的优势备受关注,但现阶段其探测能力有限,为解决其适用范围问题,本文利用VIIRS(Visible Infrared Imaging Radiometer Suite)数据对南黄海区域的激光测深性能进行评估,首先利用外业实测数据和卫星影像反演南黄海区域的490 nm波段漫衰减系数,其次建立490 nm和532 nm波段漫衰减系数之间的线性关系,最后以CZMIL(Coastal Zone Mapping and Imaging LiDAR)系统为例评估了南黄海区域激光测深能力,并给出了江苏沿岸海域CZMIL系统的适用范围。研究结果表明:CZMIL系统在南黄海区域的最大测深能力范围为0.5~40 m;理论最低潮面时,江苏沿海海域CZMIL系统的适用范围约为4 700 km2。 相似文献
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机载LiDAR测深技术被认为是海洋测绘领域极具潜力的对地观测新技术,国内对LiDAR测深的试验大都是针对南海这类水质较清的区域。本研究首次在国内引入先进的CZMIL(Coastal Zone Mapping and Imaging LiDAR)系统,选取较为浑浊的江苏省骆马湖作为试验测区,进行了测深试验。试验结果表明,在测区有着低底部反射率、高漫衰减系数的情况下,CZMIL系统仍能够成功探测到湖底数据,成果精度达到了CZMIL系统标称的测深精度指标,具有较好测深探测能力和精度。 相似文献
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黄、东海区光谱漫衰减系数特性研究 总被引：1，自引：0，他引：1
利用剖面仪于2003年3-4月在黄、东海实测的水下向下辐照度剖面数据,建立了黄、东海光谱漫衰减系数模型。在400～600nm波段,漫衰减系数和波长之间存在近似的线性关系。每一个波段的漫衰减系数与490nm波段的漫衰减系数Kd(490)最小二乘法线性回归的R^2值都超过了0．99。通过对光谱散射直线的斜率与波长进行回归。可以得到光谱散射曲线的斜率与波长的关系,R^2值为0．974。利用本文建立的光谱漫衰减系数模型,可以从一个已知波段漫衰减系数反演出任何另外～个波段的漫衰减系数,从而大大地减少了在水色反演中未知因子的个数。并且．利用现场的实测数据对模型进行了检验和误差分析。各通道的反演误差随着Kd(490)的增加而总体降低。在Kd(490)较低区域,反演误差值虽然较高。但大部分集中在20％以内。各通道平均反演误差范围在9％以下。 相似文献
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Simultaneous measurements of the diffuse attenuation coefficient, k, and the collinated beam attenuation coefficient, c, were made on a continuous basis at a near-shore site off the north coast of Anglesey, North Wales. A statistical approach to calculating the diffuse attenuation coefficient, k, in coastal waters allowed variations in transparency to be taken into consideration. The ratio of c:k varied throughout the year between approximately 11:1 and 5:1, indicating the changes in the scattering and absorption properties of the water column. The major contribution to coastal turbidity was from the scattering of light by suspended material with the relationship between scattering and absorption being dependent on the nature of the suspended matter. 相似文献
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传统的湖泊、海岸带测深主要是基于船载多波束系统或者机载激光雷达测深系统,但这些方式测量成本较高。因此提出了一种仅利用卫星观测数据,实现高分辨率动态水域地形图的获取方法,该方法基于ICESat-2单光子激光点云和Landsat图像数据的全球地表水数据集(GSWD),对所获取的高精度激光沿轨轮廓线与多年期湖泊水域边界等高线进行融合匹配。以美国最大的水库米德湖为实验区域,生成高程范围约为34 m的地形图结果,覆盖面积超过307 km~2,水平分辨率为30 m;在与机载激光雷达数据等现场实测结果的对比中,所绘制地形图均方根误差约为2 m。研究方法有望为水位波动较大或水质相对较好的内陆水体(例如湖泊)和沿海地区(例如潮间带)提供一种新的水陆交界区域地形图获取方法。 相似文献
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A preliminary optical classification of lakes in Estonia and south Finland which can also be used for small bays of the Baltic Sea is elaborated. The classification is based on the optical properties of water (diffuse attenuation coefficient, diffuse reflectance) and parameters that are routinely monitored in water bodies (Secchi depth, concentration of chlorophyll-a, total suspended matter and yellow substance). The data complex used for our classification covers different types of water ecosystems (ranging from oligotrophic to hypertrophic) and the variability of water constituent concentrations in the ice-free period in Estonia and south Finland. Using cluster analysis, we found 5 optical classes of waters: clear (C), moderate (M), turbid (T), very turbid (V) and brown (B). There is satisfactory correspondence between class of water, shape of diffuse attenuation coefficient and diffuse reflectance spectra and trophic state of the lakes. 相似文献
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V. I. Man’kovsky 《Physical Oceanography》2012,21(5):305-319
We compute model spectra of the beam attenuation coefficient in surface waters of the Mediterranean Sea. These spectra are
used to determine the contribution of the components of seawater (suspended matter, yellow substance, pigments of phytoplankton,
and pure water) to the beam attenuation coefficient in different types of seawater. For the surface waters, we establish the
relationship between the light scattering coefficient and the attenuation coefficient at a wavelength of 547 nm and determine
the background (limiting minimum) value of the coefficient of absorption by the yellow substance in waters of the Mediterranean
Sea. It is compared with the values of the same parameter for some other basins (Black Sea, Lake Baikal, Baltic Sea, and oceanic
waters). 相似文献
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Capabilities of the bathymetric Hawk Eye LiDAR for coastal habitat mapping: A case study within a Basque estuary 总被引：1，自引：0，他引：1
Guillem Chust Maitane Grande Ibon Galparsoro Adolfo Uriarte Ángel Borja 《Estuarine, Coastal and Shelf Science》2010
The bathymetric LiDAR system is an airborne laser that detects sea bottom at high vertical and horizontal resolutions in shallow coastal waters. This study assesses the capabilities of the airborne bathymetric LiDAR sensor (Hawk Eye system) for coastal habitat mapping in the Oka estuary (within the Biosphere Reserve of Urdaibai, SE Bay of Biscay, northern Spain), where water conditions are moderately turbid. Three specific objectives were addressed: 1) to assess the data quality of the Hawk Eye LiDAR, both for terrestrial and subtidal zones, in terms of height measurement density, coverage, and vertical accuracy; 2) to compare bathymetric LiDAR with a ship-borne multibeam echosounder (MBES) for different bottom types and depth ranges; and 3) to test the discrimination potential of LiDAR height and reflectance information, together with multi-spectral imagery (three visible and near infrared bands), for the classification of 22 salt marsh and rocky shore habitats, covering supralittoral, intertidal and subtidal zones. The bathymetric LiDAR Hawk Eye data enabled the generation of a digital elevation model (DEM) of the Oka estuary, at 2 m of horizontal spatial resolution in the terrestrial zone (with a vertical accuracy of 0.15 m) and at 4 m within the subtidal, extending a water depth of 21 m. Data gaps occurred in 14.4% of the area surveyed with the LiDAR (13.69 km2). Comparison of the LiDAR system and the MBES showed no significant mean difference in depth. However, the Root Mean Square error of the former was high (0.84 m), especially concentrated upon rocky (0.55–1.77 m) rather than in sediment bottoms (0.38–0.62 m). The potential of LiDAR topographic variables and reflectance alone for discriminating 15 intertidal and submerged habitats was low (with overall classification accuracy between 52.4 and 65.4%). In particular, reflectance retrieved for this case study has been found to be not particularly useful for classification purposes. The combination of the LiDAR-based DEM and derived topographical features with the near infrared and visible bands has permitted the mapping of 22 supralittoral, intertidal and subtidal habitats of the Oka estuary, with high overall classification accuracies of between 84.5% and 92.1%, using the maximum likelihood algorithm. The airborne bathymetric Hawk Eye LiDAR, although somewhat limited by water turbidity and wave breaking, provides unique height information obscured from topographic LiDAR and acoustic systems, together with an improvement of the habitat mapping reliability in the complex and dynamic coastal fringe. 相似文献
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Determination of the water depths in coastal zones is a common requirement for the majority of coastal engineering and coastal science applications. However, production of high quality bathymetric maps requires expensive field survey, high technology equipment and expert personnel. Remotely sensed images can be conveniently used to reduce the cost and labor needed for bathymetric measurements and to overcome the difficulties in spatial and temporal depth provision. An Artificial Neural Network (ANN) methodology is introduced in this study to derive bathymetric maps in shallow waters via remote sensing images and sample depth measurements. This methodology provides fast and practical solution for depth estimation in shallow waters, coupling temporal and spatial capabilities of remote sensing imagery with modeling flexibility of ANN. Its main advantage in practice is that it enables to directly use image reflectance values in depth estimations, without refining depth-caused scatterings from other environmental factors (e.g. bottom material and vegetation). Its function-free structure allows evaluating nonlinear relationships between multi-band images and in-situ depth measurements, therefore leads more reliable depth estimations than classical regressive approaches. The west coast of the Foca, Izmir/Turkey was used as a test bed. Aster first three band images and Quickbird pan-sharpened images were used to derive ANN based bathymetric maps of this study area. In-situ depth measurements were supplied from the General Command of Mapping, Turkey (HGK). Two models were set, one for Aster and one for Quickbird image inputs. Bathymetric maps relying solely on in-situ depth measurements were used to evaluate resultant derived bathymetric maps. The efficiency of the methodology was discussed at the end of the paper. It is concluded that the proposed methodology could decrease spatial and repetitive depth measurement requirements in bathymetric mapping especially for preliminary engineering application. 相似文献
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Remotely sensing in detecting the water depths and bed load of shallow waters and their changes 总被引：1，自引：0，他引：1
Bed load is a type of sand drift and accumulation on the sea-bed. Sand drift is a very important index to survey the erosion or deposition of coastal zone. The change of water depths indicates the change of bed load in shallow waters. The conventional method for measuring water depth uses the shipboard echo sounder, which is accurate for point-measurement, but is a time-consuming and labor-intensive task. For periodic survey of bathymetry as synoptic scale, the remote sensing method may be a viable alternative. Wave spectrum bathymetric (WSB) method takes advantages of remote sensing to obtain the bathymetry of shallow waters safely, economically and quickly. The WSB method is feasible to detect the change of water depths over coastal zones where water depths are less than about 12 m. This remote sensing method is worthy to be well developed and efficiently applied to change detection of water depths and bed load in shallow waters. 相似文献