554 related articles for article (PubMed ID: 28602249)
1. Ten-year survey of cyanobacterial blooms in Ohio's waterbodies using satellite remote sensing.
Gorham T; Jia Y; Shum CK; Lee J
Harmful Algae; 2017 Jun; 66():13-19. PubMed ID: 28602249
[TBL] [Abstract][Full Text] [Related]
2. Identifying lakes at risk of toxic cyanobacterial blooms using satellite imagery and field surveys across the United States.
Handler AM; Compton JE; Hill RA; Leibowitz SG; Schaeffer BA
Sci Total Environ; 2023 Apr; 869():161784. PubMed ID: 36702268
[TBL] [Abstract][Full Text] [Related]
3. Science meets policy: A framework for determining impairment designation criteria for large waterbodies affected by cyanobacterial harmful algal blooms.
Davis TW; Stumpf R; Bullerjahn GS; McKay RML; Chaffin JD; Bridgeman TB; Winslow C
Harmful Algae; 2019 Jan; 81():59-64. PubMed ID: 30638499
[TBL] [Abstract][Full Text] [Related]
4. Challenges for mapping cyanotoxin patterns from remote sensing of cyanobacteria.
Stumpf RP; Davis TW; Wynne TT; Graham JL; Loftin KA; Johengen TH; Gossiaux D; Palladino D; Burtner A
Harmful Algae; 2016 Apr; 54():160-173. PubMed ID: 28073474
[TBL] [Abstract][Full Text] [Related]
5. Ground-based remote sensing provides alternative to satellites for monitoring cyanobacteria in small lakes.
Cook KV; Beyer JE; Xiao X; Hambright KD
Water Res; 2023 Aug; 242():120076. PubMed ID: 37352675
[TBL] [Abstract][Full Text] [Related]
6. Effects of rainfall patterns on toxic cyanobacterial blooms in a changing climate: between simplistic scenarios and complex dynamics.
Reichwaldt ES; Ghadouani A
Water Res; 2012 Apr; 46(5):1372-93. PubMed ID: 22169160
[TBL] [Abstract][Full Text] [Related]
7. Forecasting freshwater cyanobacterial harmful algal blooms for Sentinel-3 satellite resolved U.S. lakes and reservoirs.
Schaeffer BA; Reynolds N; Ferriby H; Salls W; Smith D; Johnston JM; Myer M
J Environ Manage; 2024 Jan; 349():119518. PubMed ID: 37944321
[TBL] [Abstract][Full Text] [Related]
8. Estimating cyanobacterial bloom transport by coupling remotely sensed imagery and a hydrodynamic model.
Wynne TT; Stumpf RP; Tomlinson MC; Schwab DJ; Watabayashi GY; Christensen JD
Ecol Appl; 2011 Oct; 21(7):2709-21. PubMed ID: 22073654
[TBL] [Abstract][Full Text] [Related]
9. A method for examining temporal changes in cyanobacterial harmful algal bloom spatial extent using satellite remote sensing.
Urquhart EA; Schaeffer BA; Stumpf RP; Loftin KA; Werdell PJ
Harmful Algae; 2017 Jul; 67():144-152. PubMed ID: 28755717
[TBL] [Abstract][Full Text] [Related]
10. Evaluating physico-chemical influences on cyanobacterial blooms using hyperspectral images in inland water, Korea.
Park Y; Pyo J; Kwon YS; Cha Y; Lee H; Kang T; Cho KH
Water Res; 2017 Dec; 126():319-328. PubMed ID: 28965034
[TBL] [Abstract][Full Text] [Related]
11. Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing.
Coffer MM; Schaeffer BA; Darling JA; Urquhart EA; Salls WB
Ecol Indic; 2020 Apr; 111():105976. PubMed ID: 34326705
[TBL] [Abstract][Full Text] [Related]
12. Toxin-producing cyanobacteria in freshwater: a review of the problems, impact on drinking water safety, and efforts for protecting public health.
Cheung MY; Liang S; Lee J
J Microbiol; 2013 Feb; 51(1):1-10. PubMed ID: 23456705
[TBL] [Abstract][Full Text] [Related]
13. Estimation of cyanobacteria biovolume in water reservoirs by MERIS sensor.
Medina-Cobo M; DomÃnguez JA; Quesada A; de Hoyos C
Water Res; 2014 Oct; 63():10-20. PubMed ID: 24971813
[TBL] [Abstract][Full Text] [Related]
14. Spatial and temporal patterns in the seasonal distribution of toxic cyanobacteria in Western Lake Erie from 2002-2014.
Wynne TT; Stumpf RP
Toxins (Basel); 2015 May; 7(5):1649-63. PubMed ID: 25985390
[TBL] [Abstract][Full Text] [Related]
15. Measurement of Cyanobacterial Bloom Magnitude using Satellite Remote Sensing.
Mishra S; Stumpf RP; Schaeffer BA; Werdell PJ; Loftin KA; Meredith A
Sci Rep; 2019 Dec; 9(1):18310. PubMed ID: 31797884
[TBL] [Abstract][Full Text] [Related]
16. Nitrogen limitation, toxin synthesis potential, and toxicity of cyanobacterial populations in Lake Okeechobee and the St. Lucie River Estuary, Florida, during the 2016 state of emergency event.
Kramer BJ; Davis TW; Meyer KA; Rosen BH; Goleski JA; Dick GJ; Oh G; Gobler CJ
PLoS One; 2018; 13(5):e0196278. PubMed ID: 29791446
[TBL] [Abstract][Full Text] [Related]
17. Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning.
Gupta A; Hantush MM; Govindaraju RS
Sci Total Environ; 2023 Nov; 900():165781. PubMed ID: 37499836
[TBL] [Abstract][Full Text] [Related]
18. Field methods in the study of toxic cyanobacterial blooms: results and insights from Lake Erie research.
Wilhelm SW
Adv Exp Med Biol; 2008; 619():501-12. PubMed ID: 18461781
[TBL] [Abstract][Full Text] [Related]
19. Accuracy of data buoys for measurement of cyanobacteria, chlorophyll, and turbidity in a large lake (Lake Erie, North America): implications for estimation of cyanobacterial bloom parameters from water quality sonde measurements.
Chaffin JD; Kane DD; Stanislawczyk K; Parker EM
Environ Sci Pollut Res Int; 2018 Sep; 25(25):25175-25189. PubMed ID: 29943249
[TBL] [Abstract][Full Text] [Related]
20. Sensor-based detection of algal blooms for public health advisories and long-term monitoring.
Rome M; Beighley RE; Faber T
Sci Total Environ; 2021 May; 767():144984. PubMed ID: 33636761
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
