Assessing the potential of integrating Landsat sensors for estimating chlorophyll-a concentration in a reservoir

作者: Matias Bonansea , Claudia Rodriguez , Lucio Pinotti

DOI: 10.2166/NH.2017.116

关键词: Range (statistics)Environmental scienceRemote sensingSatelliteWater qualityRemote sensing application

摘要: Landsat satellites, 5 and 7, have significant potential for estimating several water quality parameters, but to our knowledge, there are few investigations which integrate these earlier sensors with the newest improved mission of 8 satellite. Thus, comparability assessing across different needs be evaluated. The main objective this study was assess feasibility integrating estimate chlorophyll-a concentration (Chl-a) in Rio Tercero reservoir (Argentina). A general model retrieve Chl-a developed (R 2 = 0.88). Using observed versus predicted values validated 0.89) applied imagery obtaining spatial representations reservoir. Results showed that can combined 7 construct an empirical characteristics, such as a As number available upcoming open access will increase time, we expect trend certainly further promote remote sensing applications serve valuable basis wide range assessments.

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