Comparison of satellite reflectance algorithms for estimating phycocyanin values and cyanobacterial total biovolume in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident surface observations

Richard Beck, Min Xu, Shengan Zhan, Hongxing Liu, Richard A. Johansen, Susanna Tong, Bo Yang, Song Shu, Qiusheng Wu, Shujie Wang, Kevin Berling, Andrew Murray, Erich Emery, Molly Reif, Joseph Harwood, Jade Young, Mark Martin, Garrett Stillings, Richard Stumpf, Haibin SuZhaoxia Ye, Yan Huang

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13 Scopus citations

Abstract

We analyzed 27 established and new simple and therefore perhaps portable satellite phycocyanin pigment reflectance algorithms for estimating cyanobacterial values in a temperate 8.9 km2 reservoir in southwest Ohio using coincident hyperspectral aircraft imagery and dense coincident water surface observations collected from 44 sites within 1 h of image acquisition. The algorithms were adapted to real Compact Airborne Spectrographic Imager (CASI), synthetic WorldView-2, Sentinel-2, Landsat-8, MODIS and Sentinel-3/MERIS/OLCI imagery resulting in 184 variants and corresponding image products. Image products were compared to the cyanobacterial coincident surface observation measurements to identify groups of promising algorithms for operational algal bloom monitoring. Several of the algorithms were found useful for estimating phycocyanin values with each sensor type except MODIS in this small lake. In situ phycocyanin measurements correlated strongly (r2 = 0.757) with cyanobacterial sum of total biovolume (CSTB) allowing us to estimate both phycocyanin values and CSTB for all of the satellites considered except MODIS in this situation.

Original languageEnglish (US)
Article number538
JournalRemote Sensing
Volume9
Issue number6
DOIs
StatePublished - Jun 1 2017

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences(all)

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