An earth observation and explainable machine learning approach for determining the drivers of invasive species a water hyacinth case study

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dc.article.end-page30en
dc.article.start-page1en
dc.citation.doi10.1007/S10661-025-14517-1en
dc.contributor.authorGeethen Singhen
dc.contributor.authorBenjamin Rosmanen
dc.contributor.authorMarcus Byrneen
dc.contributor.authorChevonne Reynoldsen
dc.date.accessioned2025-11-13T08:36:37Z
dc.facultyFACULTY OF SCIENCEen
dc.identifier.citationWOSen
dc.identifier.issn0167-6369en
dc.identifier.urihttps://hdl.handle.net/10539/47565
dc.journal.titleAn earth observation and explainable machine learning approach for determining the drivers of invasive species a water hyacinth case studyen
dc.journal.volume197en
dc.publisherSPRINGERen
dc.titleAn earth observation and explainable machine learning approach for determining the drivers of invasive species a water hyacinth case studyen
dc.typeJournal Articleen

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