首页> 外文会议>International conference on remote sensing for marine and coastal environments >ENVIRONMENTAL BASELINE MAPPING OF TOTAL SUSPENDED MATTER CONCENTRATIONS IN THE WESTERN SCHELDT ESTUARY SUPPORTED BY THE USE OF SPOT IMAGES
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ENVIRONMENTAL BASELINE MAPPING OF TOTAL SUSPENDED MATTER CONCENTRATIONS IN THE WESTERN SCHELDT ESTUARY SUPPORTED BY THE USE OF SPOT IMAGES

机译:环境基线映射沉舍尔特河口总悬浮物浓度的绘图,通过现货图像支持

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The construction of a tunnel below the Western Scheldt estuary (Netherlands) and the associated sediment dumping in the estuary may influence the sediment budget and the ecology. For monitoring the effects of the dumping, it is essential to know the baseline situation of sediment distribution and variability. It was decided to use remote sensing as an instrument to provide spatial Total Suspended Matter (TSM) information to support the baseline inventory. Nine selected SPOT images were processed to TSM maps. An optical model was parameterised using in-situ measured inherent optical properties. Simulations with this model were performed with the aim to predict in situ-measured R(0-) spectra. By matching R(0-) simulations to observations, the bac-scattering to scattering ratio and the shape factor could be assessed. Next, the simulation model was used to derive a TSM retrieval algorithm for various SPOT sensors. A sensitivity study was done to examine the robustness of the TSM retrieval algorithm. All SPOT images were corrected for atmospheric influences and for the effects of the air-water interface. A procedure was developed which allows using known reflectance values of dark water bodies to calibrate the atmospherical correction. Some semi-invariant reflectance features were used for extra calibration and validation. As a last step, the atmospherically corrected images were transformed to TSM maps using the TSM retrieval algorithm. All maps were validated using long term averaged TSM measurements and continuous in situ data measurements. The validation proved that the TSM maps correctly described both overall mean concentrations and the local variability.
机译:在西舍尔特河口(荷兰)之下的隧道建造和河口中的相关沉积物倾倒可能影响沉积预算和生态学。为了监测倾销的影响,必须了解沉积物分布和变异性的基线情况。决定使用遥感作为仪器,以提供空间总挂起物质(TSM)信息,以支持基线库存。将九个选定的点图像处理到TSM地图。使用原位测量的固有光学属性参数化光学模型。使用该模型进行仿真,其目的是预测原位测量的R(0-)光谱。通过匹配R(0-)模拟来观察,可以评估散射比的BAC散射和形状因子。接下来,仿真模型用于推导出各种光斑传感器的TSM检索算法。完成了一种灵敏度研究以检查TSM检索算法的鲁棒性。所有点图像都针对大气影响校正以及空气水界面的影响。开发了一种程序,其允许使用深水体的已知反射率值来校准大气校正。一些半不变的反射功能用于额外校准和验证。作为最后一步,使用TSM检索算法将大气校正的图像转换为TSM映射。使用长期平均TSM测量和持续的原位数据测量来验证所有地图。验证证明了TSM地图正确地描述了整体平均浓度和局部变异性。

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