Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea

Quantitative analysis of extracted phycobilin pigments in cyanobacteria—an assessment of spectrophotometric and spectrofluorometric methods

(2014) Monika Sobiechowska-Sasim et al.   JOURNAL OF APPLIED PHYCOLOGY

In-air spectral signatures of the Baltic Sea macrophytes and their statistical separability

(2014) Jonne Kotta et al.   Journal of Applied Remote Sensing

Comparison of satellite chlorophyll a algorithms for the Baltic Sea

(2014) Monika Wozniak et al.   Journal of Applied Remote Sensing

Remote detection of cyanobacteria through phycocyanin for water supply source using three-band model

(2013) Kaishan Song et al.   Ecological Informatics

A Performance Review of Reflectance Based Algorithms for Predicting Phycocyanin Concentrations in Inland Waters

(2013) Igor Ogashawara et al.   Remote Sensing

Long-term changes in Secchi depth and the role of phytoplankton in explaining light attenuation in the Baltic Sea

(2012) Vivi Fleming-Lehtinen et al.   ESTUARINE COASTAL AND SHELF SCIENCE

Detection of coccolithophore blooms in ocean color satellite imagery: A generalized approach for use with multiple sensors

(2011) Timothy S. Moore et al.   REMOTE SENSING OF ENVIRONMENT

Hyperspectral remote sensing of cyanobacterial pigments as indicators for cell populations and toxins in eutrophic lakes

(2010) Peter D. Hunter et al.   REMOTE SENSING OF ENVIRONMENT

Phytoplankton bloom status: Chlorophyll a biomass as an indicator of water quality condition in the southern estuaries of Florida, USA

(2009) Joseph N. Boyer et al.   ECOLOGICAL INDICATORS

A Novel Algorithm for Predicting Phycocyanin Concentrations in Cyanobacteria: A Proximal Hyperspectral Remote Sensing Approach

(2009) Sachidananda Mishra et al.   Remote Sensing

Assessing the uncertainties of model estimates of primary productivity in the tropical Pacific Ocean

(2008) Marjorie A.M. Friedrichs et al.   JOURNAL OF MARINE SYSTEMS

Hyperspectral remote sensing of cyanobacteria in turbid productive water using optically active pigments, chlorophyll a and phycocyanin

(2008) Kaylan Randolph et al.   REMOTE SENSING OF ENVIRONMENT

An evaluation of algorithms for the remote sensing of cyanobacterial biomass

(2008) Antonio Ruiz-Verdú et al.   REMOTE SENSING OF ENVIRONMENT