• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国政府科技报告 >Prediction of Water Quality Parameters from VIS-NIR Radiometry: Using Lake Erie as a Natural Laboratory for Analysis of Case 2 Waters
【24h】

Prediction of Water Quality Parameters from VIS-NIR Radiometry: Using Lake Erie as a Natural Laboratory for Analysis of Case 2 Waters

机译：VIs-NIR辐射测量水质参数预测：利用伊利湖作为案例2水域分析的自然实验室

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The goal of this study is to assess the utility of satellite remote sensing to estimate water quality parameters in Case 2 waters. Coastal and most inland waters are classified as Case 2 waters, because in addition to phytoplankton, terrestrially derived constituents such as dissolved organic matter and suspended sediments occur in abundance and therefore the optical properties of such waters represents an aggregate spectrum of the various components. This problem can be approached by accurately determining the detectable signatures of CPAs within the reflectance spectrum. The spectral signatures, which are the result of absorption and scattering of light, can be used to estimate concentrations of the optically independent constituents within surface water layers. Multiple techniques including multivariate statistics and mathematical signal transformations are applied to develop algorithms that relate remote sensing reflectance and in-water constituents. The derivation of water quality parameters from satellite visible/near-infrared (VIR) spectral radiometry can provide frequent spatial information critical to the understanding of biogeochemical processes of interest to climate studies, such as carbon exchange and phytoplankton and sediment dynamics.

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