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Assessment of nutrient distributions in Lake Champlain using satellite remote sensing
作者姓名:Elizabeth M. Isenstein  Mi-Hyun Park
作者单位:Department of Civil and Environmental Engineering, University of Massachusetts Amherst, MA 01003, USA;Department of Civil and Environmental Engineering, University of Massachusetts Amherst, MA 01003, USA
摘    要:The introduction of nutrients to lakes causing eutrophic conditions is a major problem around the world. Proper monitoring and modeling are important to effectively manage eutrophication in lake waters. The goal is to develop remote sensing models for nutrients, total phosphorus and total nitrogen, in Lake Champlain. The remote sensing models were created using multivariate linear regression with the unique band combinations of Landsat Enhanced Thematic Mapper Plus (ETM+) imagery based on the empirical relationship with the field observations. The resulting models successfully showed nutrient distributions in the most eutrophic part of Lake Champlain, Missisquoi Bay, with reasonable adjusted coefficient of determination values (R2 = 0.81 and 0.75 for total phosphorus and total nitrogen, respectively). The results show the feasibility and the utility of satellite imagery to detect spatial distributions of lake water quality constituents, which can be used to better understand nutrient distributions in Lake Champlain. This approach can be applicable to other lakes experiencing eutrophication assisting decision making when implementing Best Management Practices and other mitigation techniques to lakes.

关 键 词:卫星遥感技术  营养分布  湖泊富营养化  评估  水体富营养化  遥感模型  多元线性回归  最佳管理
收稿时间:28 November 2013
修稿时间:29 April 2014

Assessment of nutrient distributions in Lake Champlain using satellite remote sensing
Elizabeth M. Isenstein,Mi-Hyun Park.Assessment of nutrient distributions in Lake Champlain using satellite remote sensing[J].Journal of Environmental Sciences,2014,26(9):1831-1836.
Authors:Elizabeth M Isenstein and Mi-Hyun Park
Institution:Department of Civil and Environmental Engineering, University of Massachusetts Amherst, MA 01003, USA;Department of Civil and Environmental Engineering, University of Massachusetts Amherst, MA 01003, USA
Abstract:The introduction of nutrients to lakes causing eutrophic conditions is a major problem around the world. Proper monitoring and modeling are important to effectively manage eutrophication in lake waters. The goal is to develop remote sensing models for nutrients, total phosphorus and total nitrogen, in Lake Champlain. The remote sensing models were created using multivariate linear regression with the unique band combinations of Landsat Enhanced Thematic Mapper Plus (ETM+) imagery based on the empirical relationship with the field observations. The resulting models successfully showed nutrient distributions in the most eutrophic part of Lake Champlain, Missisquoi Bay, with reasonable adjusted coefficient of determination values (R2 =0.81 and 0.75 for total phosphorus and total nitrogen, respectively). The results show the feasibility and the utility of satellite imagery to detect spatial distributions of lake water quality constituents, which can be used to better understand nutrient distributions in Lake Champlain. This approach can be applicable to other lakes experiencing eutrophication assisting decision making when implementing Best Management Practices and other mitigation techniques to lakes.
Keywords:Remote sensing  Monitoring  Nutrients  Phosphorus
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