• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of remote sensing >Estimating and mapping chlorophyll-a concentration in Pensacola Bay, Florida using Landsat ETM+ data
【24h】

Estimating and mapping chlorophyll-a concentration in Pensacola Bay, Florida using Landsat ETM+ data

机译：使用Landsat ETM +数据估算和绘制佛罗里达州彭萨科拉湾的叶绿素a浓度

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

The purpose of this study was to develop algorithms for estimating chlorophyll-a concentration in Pensacola Bay using Landsat 7 ETM+ data. The techniques used were band ratioing and regression modelling. Pensacola Bay is located on the west end of the Florida panhandle. As one of 39 estuaries located on the Gulf of Mexico, Pensacola Bay is impacted largely by rivers. The Landsat ETM + data were first geometrically rectified. Then brightness values were converted to reflectance through the radiometric correction process. For the regression models, logarithmically transformed chlorophyll-a was used as the dependent variable. Single bands, band ratios and logarithmically transformed band ratios were the independent variables. R~2 values were computed and evaluated. Results from the study indicate that the ratio of ETM + 1/ETM + 3 was the most effective in estimating chlorophyll-a. Using this model a chlorophyll-a map was generated for Pensacola Bay.
机译：这项研究的目的是开发使用Landsat 7 ETM +数据估算彭萨科拉湾中叶绿素a浓度的算法。所使用的技术是频带配比和回归建模。彭萨科拉湾位于佛罗里达盘根河的西端。作为位于墨西哥湾的39个河口之一，彭萨科拉湾受河流的影响很大。首先对Landsat ETM +数据进行了几何校正。然后，通过辐射校正过程将亮度值转换为反射率。对于回归模型，使用对数转换的叶绿素-a作为因变量。单带，带比和对数变换的带比是自变量。计算并评估R〜2值。研究结果表明，ETM + 1 / ETM + 3的比率在估算叶绿素-a方面最有效。使用该模型，为彭萨科拉湾生成了叶绿素-a图。

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