date: 2024-05-12T07:02:31Z pdf:PDFVersion: 1.7 pdf:docinfo:title: Discriminating bloom-forming cyanobacteria using lab-based hyperspectral imagery and machine learning: Validation with toxic species under environmental ranges xmp:CreatorTool: Elsevier access_permission:can_print_degraded: true subject: Science of the Total Environment, 932 (2024) 172741. doi:10.1016/j.scitotenv.2024.172741 dc:format: application/pdf; version=1.7 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Elsevier access_permission:fill_in_form: true pdf:docinfo:custom:CreationDate--Text: 12th May 2024 pdf:encrypted: false dc:title: Discriminating bloom-forming cyanobacteria using lab-based hyperspectral imagery and machine learning: Validation with toxic species under environmental ranges modified: 2024-05-12T07:02:31Z cp:subject: Science of the Total Environment, 932 (2024) 172741. doi:10.1016/j.scitotenv.2024.172741 pdf:docinfo:custom:CrossMarkDomains[1]: elsevier.com robots: noindex pdf:docinfo:subject: Science of the Total Environment, 932 (2024) 172741. doi:10.1016/j.scitotenv.2024.172741 pdf:docinfo:creator: Claudia Fournier meta:author: Antonio Quesada meta:creation-date: 2024-05-11T11:00:41Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: Sat May 11 13:00:41 CEST 2024 access_permission:extract_for_accessibility: true Creation-Date: 2024-05-11T11:00:41Z pdf:docinfo:custom:CrossMarkDomains[2]: sciencedirect.com ElsevierWebPDFSpecifications: 7.0 pdf:docinfo:custom:doi: 10.1016/j.scitotenv.2024.172741 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Antonio Quesada producer: Acrobat Distiller 8.1.0 (Windows) CrossmarkDomainExclusive: true pdf:docinfo:producer: Acrobat Distiller 8.1.0 (Windows) CreationDate--Text: 12th May 2024 doi: 10.1016/j.scitotenv.2024.172741 dc:description: Science of the Total Environment, 932 (2024) 172741. doi:10.1016/j.scitotenv.2024.172741 Keywords: Algal blooms,Remote sensing,Near-infrared,Ensemble classifiers,Early warning access_permission:modify_annotations: true dc:creator: Antonio Quesada description: Science of the Total Environment, 932 (2024) 172741. doi:10.1016/j.scitotenv.2024.172741 dcterms:created: 2024-05-11T11:00:41Z Last-Modified: 2024-05-12T07:02:31Z dcterms:modified: 2024-05-12T07:02:31Z title: Discriminating bloom-forming cyanobacteria using lab-based hyperspectral imagery and machine learning: Validation with toxic species under environmental ranges xmpMM:DocumentID: uuid:1b499bed-4ce8-4c0c-b682-0d58baae1cbe Last-Save-Date: 2024-05-12T07:02:31Z CrossMarkDomains[1]: elsevier.com pdf:docinfo:keywords: Algal blooms,Remote sensing,Near-infrared,Ensemble classifiers,Early warning pdf:docinfo:modified: 2024-05-12T07:02:31Z meta:save-date: 2024-05-12T07:02:31Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Antonio Quesada dc:subject: Algal blooms,Remote sensing,Near-infrared,Ensemble classifiers,Early warning pdf:docinfo:custom:ElsevierWebPDFSpecifications: 7.0 access_permission:assemble_document: true xmpTPg:NPages: 11 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: sciencedirect.com meta:keyword: Algal blooms,Remote sensing,Near-infrared,Ensemble classifiers,Early warning access_permission:can_modify: true pdf:docinfo:created: 2024-05-11T11:00:41Z CrossmarkMajorVersionDate: 2010-04-23