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Quantification of the total suspended matter concentration in the sea breaking zone from in situ measurements and remotely sensed data - two empirical approaches

机译:从原位测量和远程感测数据中的海破区总悬浮物浓度的定量 - 两种经验方法

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Remote sensing techniques can be used to calculate suspended sediment concentrations and to understand the flux and distribution of sediments driven by mechanisms such as tides and waves, river discharges, etc. The main objective of this study is the quantification of the Total Suspended Matter (TSM) concentration in the sea breaking zone for a particular area of the Portuguese coast, around Aveiro. The methodology used was based on in situ measurements and multi spectral satellite images. In situ experimental techniques (maritime platform, aerial platform, simulation on the beach and water sample collection in the breaking zone) were used to determine a relationship between the TSM concentration and the seawater reflectance in the breaking zone. Spectral reflectance was measured with a spectroradiometer and water samples were simultaneously collected. Empirical relationships were established between TSM concentration and the equivalent reflectance values for sensors SPOT/HRVIR, TERRA/ASTER and Landsat/TM at visible and Near Infra Red (NIR) bands computed from the experimental data. Satellite images from ASTER, SPOT HRVIR and Landsat TM were used together with the same empirical models. These satellite images were calibrated and atmospherically corrected. Equations of linear, polynomial, logarithmic, power and exponential models were tested for the satellite image bands on the visible and near infrared. The coefficients of determination (R~2) were also calculated for each model. The results obtained from the two approaches, in situ measurements and directly from the multi spectral satellite images, were analysed.
机译:遥感技术可用于计算悬浮的沉积物浓度,并了解由潮汐和波浪,河流排放等机制驱动的沉积物的通量和分布。本研究的主要目的是总悬浮物(TSM)的定量量)在Aveiro周围葡萄牙海岸的特定区域的海破区浓度。所用方法基于原位测量和多光谱卫星图像。原位实验技术(海底平台,空中平台,破碎区的海滩上的仿真和水样收集)用于确定TSM集中与断裂区中的海水反射之间的关系。使用光谱辐射计测量光谱反射率,并同时收集水样。在从实验数据计算的可见和靠近近红外线(NIR)频段的传感器点/ HRVIR,Terra / Aster和Landsat / TM之间的验证关系在TSM浓度和传感器/ HRVIR,Terra / Aster和Landsat / TM之间建立。来自紫砂,点HRVIR和LANDSAT TM的卫星图像与相同的经验模型一起使用。这些卫星图像被校准和大气校正。对于可见光和近红外线上的卫星图像带,测试了线性,多项式,对数,功率和指数模型的方程。对于每个模型,还计算了确定系数(R〜2)。分析了从两种方法获得的结果,原位测量和直接来自多光谱卫星图像。

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