A band-ratio algorithm for retrieving open-lake chlorophyll values from satellite observations of the Great Lakes
作者： Barry M. Lesht , Richard P. Barbiero , Glenn J. Warren
DOI: 10.1016/J.JGLR.2012.12.007
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摘要: Abstract The U.S. Environmental Protection Agency's Great Lakes National Program Office (GLNPO) has collected water quality data from the five annually since 1993. We used GLNPO observations made 2002 along with coincident measurements by Sea-viewing Wide Field-of-View Sensor (SeaWiFS) and Moderate-resolution Imaging Spectroradiometer (MODIS) to develop a new band-ratio algorithm for estimating chlorophyll concentrations in satellite observations. is based on third-order polynomial model using same maximum band ratios employed standard NASA algorithms (OC4 SeaWiFS OC3M MODIS). sensor-specific coefficients were obtained fitting relationship several hundred matched field Although there are some seasonal variations lakes, between observed values those modeled fairly stable lake across years. accuracy of estimates derived was improved substantially relative both retrievals previously published tuned individual lakes. Monte-Carlo fits randomly selected subsets allowed us estimate uncertainty associated purely as function data. Our results provide, first time, single simple ratio method retrieving offshore “open” waters
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