Comparison of satellite reflectance algorithms for estimating turbidity and cyanobacterial concentrations in productive freshwaters using hyperspectral aircraft imagery and dense coincident surface observations

We analyzed 37 satellite reflectance algorithms and 321 variants for five satellites for estimating turbidity in a freshwater inland lake in Ohio using coincident real hyperspectral aircraft imagery converted to relative reflectance and dense coincident surface observations. This study is part of an...

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Veröffentlicht in:Journal of Great Lakes research. - 1998. - 45(2019), 3 vom: 01. Juni, Seite 413-433
1. Verfasser: Beck, Richard (VerfasserIn)
Weitere Verfasser: Xu, Min, Zhan, Shengan, Johansen, Richard, Liu, Hongxing, Tong, Susanna, Yang, Bo, Shu, Song, Wu, Qiusheng, Wang, Shujie, Berling, Kevin, Murray, Andrew, Emery, Erich, Reif, Molly, Harwood, Joseph, Young, Jade, Nietch, Christopher, Macke, Dana, Martin, Mark, Stillings, Garrett, Stumpf, Richard, Su, Haibin, Ye, Zhaoxia, Huang, Yan
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2019
Zugriff auf das übergeordnete Werk:Journal of Great Lakes research
Schlagworte:Journal Article Algorithm Cyanobacteria Harmful algal bloom Hyperspectral Satellite Turbidity