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Predicting Cyanobacterial Blooms Using Hyperspectral Images in a Regulated River.
Ahn, Jung Min; Kim, Byungik; Jong, Jaehun; Nam, Gibeom; Park, Lan Joo; Park, Sanghyun; Kang, Taegu; Lee, Jae-Kwan; Kim, Jungwook.
Affiliation
  • Ahn JM; Water Quality Assessment Research Division, Water Environment Research Department, National Institute of Environmental Research, Incheon 22689, Korea.
  • Kim B; Water Quality Assessment Research Division, Water Environment Research Department, National Institute of Environmental Research, Incheon 22689, Korea.
  • Jong J; Water Quality Assessment Research Division, Water Environment Research Department, National Institute of Environmental Research, Incheon 22689, Korea.
  • Nam G; Water Quality Assessment Research Division, Water Environment Research Department, National Institute of Environmental Research, Incheon 22689, Korea.
  • Park LJ; Water Quality Assessment Research Division, Water Environment Research Department, National Institute of Environmental Research, Incheon 22689, Korea.
  • Park S; Water Quality Assessment Research Division, Water Environment Research Department, National Institute of Environmental Research, Incheon 22689, Korea.
  • Kang T; Water Quality Assessment Research Division, Water Environment Research Department, National Institute of Environmental Research, Incheon 22689, Korea.
  • Lee JK; Water Environment Research Department, National Institute of Environmental Research, Incheon 22689, Korea.
  • Kim J; Water Quality Assessment Research Division, Water Environment Research Department, National Institute of Environmental Research, Incheon 22689, Korea.
Sensors (Basel) ; 21(2)2021 Jan 13.
Article in En | MEDLINE | ID: mdl-33451010
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cyanobacteria Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cyanobacteria Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sensors (Basel) Year: 2021 Document type: Article Country of publication: