The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Monitoring cyanobacterial blooms by satellite remote sensing
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Optical properties of the clearest natural waters (200–800 nm)
Smith, R. C., & Baker, K. S. (1981) · Applied Optics · doi:10.1364/ao.20.000177 · Cited by 1,756
Health Effects of Toxin-Producing Cyanobacteria: “The CyanoHABs”
Carmichael, W. W. (2001) · Human and Ecological Risk Assessment: An International Journal · doi:10.1080/20018091095087 · Cited by 983
Widespread occurrence of a unicellular, marine, planktonic, cyanobacterium
WATERBURY, J. B., WATSON, S. W., GUILLARD, R. R. L., & BRAND, L. E. (1979) · Nature · doi:10.1038/277293a0 · Cited by 880
Gordon, H. R., Brown, O. B., & Jacobs, M. M. (1975) · Applied Optics · doi:10.1364/ao.14.000417 · Cited by 728
Cyanobacterial toxins, exposure routes and human health
CODD, G. A., BELL, S. G., KAYA, K., WARD, C. J., BEATTIE, K. A., & METCALF, J. S. (1999) · European Journal of Phycology · doi:10.1017/s0967026299002255 · Cited by 565
Remote sensing of the cyanobacterial pigment phycocyanin in turbid inland water
Simis, S. G. H., Peters, S. W. M., & Gons, H. J. (2005) · Limnology and Oceanography · doi:10.4319/lo.2005.50.1.0237 · Cited by 520
Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing
Kutser, T. (2004) · Limnology and Oceanography · doi:10.4319/lo.2004.49.6.2179 · Cited by 389
Self-citationDetection of optical water quality parameters for eutrophic waters by high resolution remote sensing
Dekker, A. G. (1993) · Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) · Cited by 365
Sivonen, K., Kononen, K., Carmichael, W. W., Dahlem, A. M., Rinehart, K. L., Kiviranta, J., & Niemela, S. I. (1989) · Applied and Environmental Microbiology · doi:10.1128/aem.55.8.1990-1995.1989 · Cited by 357
Ting, C. S., Rocap, G., King, J., & Chisholm, S. W. (2002) · Trends in Microbiology · doi:10.1016/s0966-842x(02)02319-3 · Cited by 347
Cited by
Hu, C., Lee, Z., Ma, R., Yu, K., Li, D., & Shang, S. (2010) · Journal of Geophysical Research: Oceans · doi:10.1029/2009jc005511 · Cited by 431
Matthews, M. W., & Odermatt, D. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.10.010 · Cited by 174
Grotte, M. E., Birkeland, R., Honore-Livermore, E., Bakken, S., Garrett, J. L., Prentice, E. F., Sigernes, F., Orlandic, M., Gravdahl, J. T., & Johansen, T. A. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3080175 · Cited by 91
BERBEROGLU, H., & PILON, L. (2007) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2007.08.018 · Cited by 61
Algal biomass mapping of eutrophic lakes using a machine learning approach with MODIS images
Lai, L., Zhang, Y., Cao, Z., Liu, Z., & Yang, Q. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.163357 · Cited by 43
Metadata
- Authors
- Kutser, T., Metsamaa, L., Strömbeck, N., & Vahtmäe, E.
- Venue
- Estuarine, Coastal and Shelf Science
- Publisher
- Elsevier BV
- Published
- 2006-03
- Volume
- 67
- Issue
- 1-2
- Pages
- 303-312
- ISSN
- 0272-7714 (ISSN-L)
- OpenAlex
- W2067339322
- Cited by
- 295
- References
- 30
- FWCI
- 9.83
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Monitoring cyanobacterial blooms by satellite remote sensing. https://app.cochat.ai/papers/10.1016/j.ecss.2005.11.024
- The paper
- Kutser, T., Metsamaa, L., Strömbeck, N., & Vahtmäe, E. (2006). Monitoring cyanobacterial blooms by satellite remote sensing. Estuarine, Coastal and Shelf Science. https://doi.org/10.1016/j.ecss.2005.11.024
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
