Articles | Volume 11, issue 13
https://doi.org/10.5194/bg-11-3619-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-11-3619-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Multidecadal time series of satellite-detected accumulations of cyanobacteria in the Baltic Sea
M. Kahru
Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093-0218, USA
Department of Ecology, Environment and Plant Sciences, Stockholm University, SE-10691, Stockholm, Sweden
R. Elmgren
Department of Ecology, Environment and Plant Sciences, Stockholm University, SE-10691, Stockholm, Sweden
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117 citations as recorded by crossref.
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- Monitoring the Spatial and Temporal Variations in The Water Surface and Floating Algal Bloom Areas in Dongting Lake Using a Long-Term MODIS Image Time Series M. Cao et al. 10.3390/rs12213622
- Meta-omic analyses of Baltic Sea cyanobacteria: diversity, community structure and salt acclimation N. Celepli et al. 10.1111/1462-2920.13592
- Spectral indexation of pixels of MODIS sea surface images for detecting inconstancy of phytopigment composition in water G. Karabashev 10.1016/j.oceano.2021.06.001
- Baltic Sea ecosystem-based management under climate change: Synthesis and future challenges T. Blenckner et al. 10.1007/s13280-015-0661-9
- Detection of BMAA in the human central nervous system L. Berntzon et al. 10.1016/j.neuroscience.2015.02.032
- A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective R. Khan et al. 10.3390/rs13214347
- Microbial metagenomics in the Baltic Sea: Recent advancements and prospects for environmental monitoring K. Ininbergs et al. 10.1007/s13280-015-0663-7
- Operational algae bloom detection in the Baltic Sea using GIS and AVHRR data M. Kulawiak 10.5200/baltica.2016.29.02
- EOLakeWatch; delivering a comprehensive suite of remote sensing algal bloom indices for enhanced monitoring of Canadian eutrophic lakes C. Binding et al. 10.1016/j.ecolind.2020.106999
- Unscrambling Cyanobacteria Community Dynamics Related to Environmental Factors M. Bertos-Fortis et al. 10.3389/fmicb.2016.00625
- Remote sensing of chlorophyll in the Baltic Sea at basin scale from 1997 to 2012 using merged multi-sensor data J. Pitarch et al. 10.5194/os-12-379-2016
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