...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Hydroinformatics >Generation of the bathymetry of a eutrophic shallow lake using worldView-2 imagery
【24h】

Generation of the bathymetry of a eutrophic shallow lake using worldView-2 imagery

机译：使用worldView-2影像生成富营养化浅水湖的测深法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this study, water depth distribution (bathymetric map) in a eutrophic shallow lake was determined using a WorldView-2 multispectral satellite image. Lake Eymir in Ankara (Turkey) was the study site. In order to generate the bathymetric map of the lake, image and data processing, and modelling were applied. First, the bands that would be used in depth prediction models were determined through statistical and multicollinearity analyses. Then, data screening was performed based on the standard deviation of standardized residuals (SD_SR) of depth values determined through preliminary linear regression models. This analysis indicated the sampling points utilized in depth modelling. Finally, linear and non-linear regression models were developed to predict the depths in Lake Eymir based on remotely sensed data. The non-linear regression model performed slightly better compared to the linear one in predicting the depths in Lake Eymir. Coefficients of determination (R~2) up to 0.90 were achieved. In general, the bathymetric map was in agreement with observations except at re-suspension areas. Yet, regression models were successful in defining the shallow depths at shore, as well as at the inlet and outlet of the lake. Moreover, deeper locations were successfully identified.
机译：在这项研究中，使用WorldView-2多光谱卫星图像确定了富营养化浅湖中的水深分布（测深图）。研究地点是安卡拉（土耳其）的埃米尔湖。为了生成湖泊的测深图，应用了图像和数据处理以及建模。首先，通过统计和多重共线性分析确定了将在深度预测模型中使用的波段。然后，根据通过初步线性回归模型确定的深度值的标准残差（SD_SR）的标准偏差进行数据筛选。该分析表明了深度建模中使用的采样点。最后，根据遥感数据，开发了线性和非线性回归模型来预测艾米尔湖的深度。与线性模型相比，非线性模型在预测埃米尔湖的深度方面要好于线性模型。测定系数（R〜2）达到0.90。通常，测深图与观测值一致，除了在重悬区域。但是，回归模型成功地定义了海岸以及湖泊入口和出口的浅层深度。此外，成功确定了更深的位置。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号