...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of applied earth observation and geoinformation >Assessing the potential of MODIS/Terra version 5 images to improve near shore lake bathymetric surveys
【24h】

Assessing the potential of MODIS/Terra version 5 images to improve near shore lake bathymetric surveys

机译：评估MODIS / Terra版本5图像改善近岸湖泊测深调查的潜力

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

Estimation of storage volume of inland water bodies is made using bathymetric surveys. Such surveys are often terminated far inward from shores due to operational limitations. The gap in depth data for the shore area is often overcome by extrapolating the established volume-area relationship beyond the survey boundary. This introduces large errors in volume estimation. In this study, the potential of the Moderate Resolution Imaging Spectroradiometer MODIS version-5 images to improve an existing bathymetric model is assessed over Lake Tana, Ethiopia. MODIS images are used to generate a new bathymetric model of the unsurveyed shore. The new model is validated through its ability to reproduce measured lake levels. The result is compared with lake level estimates made from an existing bathymetric survey. Results showed that MODIS improved bathymetric model reproduced lake water level with a RMSE of 0.14 m as compared to 0.82 m using the existing bathymetric model. The Mean Absolute Error (MAE) has also improved from 0.78 m to 0.13 m. These results suggest that despite their unavailability on cloudy days, MODIS images provide significant advantages for improving bathymetric models. (C) 2014 Elsevier B.V. All rights reserved.
机译：内陆水体的蓄水量是通过测深调查得出的。由于操作限制，此类勘测通常在离海岸很远的地方终止。通常可以通过将已建立的体积-面积关系推算出勘测边界来克服海岸地区的深度数据缺口。这在体积估计中引入了很大的误差。在这项研究中，评估了埃塞俄比亚塔那湖上中等分辨率成像分光辐射度计MODIS版本5图像改善现有测深模型的潜力。 MODIS图像用于生成未勘测海岸的新测深模型。新模型通过其重现测得的湖泊水位的能力得到了验证。将结果与现有的测深调查得出的湖泊水位估计值进行比较。结果表明，MODIS改进的水深模型重现了湖泊水位，RMSE为0.14 m，而使用现有的水深模型则为0.82 m。平均绝对误差（MAE）也从0.78 m提高到0.13 m。这些结果表明，尽管在阴天无法使用MODIS图像，但它们仍可以改善测深模型。 （C）2014 Elsevier B.V.保留所有权利。

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