Digital innovation with miniSASS, a citizen science biomonitoring tool

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cg.contributor.affiliationGroundTruthen
cg.contributor.affiliationUniversity of KwaZulu-Natalen
cg.contributor.affiliationUnited Nations Universityen
cg.contributor.affiliationInternational Water Management Instituteen
cg.contributor.affiliationNorth-West Universityen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeDigital Innovation
cg.coverage.countrySouth Africa
cg.coverage.iso3166-alpha2ZA
cg.coverage.regionSouthern Africa
cg.coverage.subregionMooi River
cg.coverage.subregionuMgeni River
cg.coverage.subregionKarkloof River
cg.creator.identifierChris Dickens: 0000-0002-4251-7767en
cg.identifier.iwmilibraryH052345en
cg.placeColombo, Sri Lankaen
dc.contributor.authorPattinson, N. B.en
dc.contributor.authorRussell, C.en
dc.contributor.authorTaylor, J.en
dc.contributor.authorDickens, Chris W. S.en
dc.contributor.authorKoen, R. C. J.en
dc.contributor.authorKoen, F. J.en
dc.contributor.authorGraham, P. M.en
dc.date.accessioned2023-11-15T05:04:14Zen
dc.date.available2023-11-15T05:04:14Zen
dc.identifier.urihttps://hdl.handle.net/10568/134498
dc.titleDigital innovation with miniSASS, a citizen science biomonitoring toolen
dcterms.abstractThe mini stream assessment scoring system (miniSASS) was developed as a citizen science biomonitoring tool for assessing the water quality and health of stream and river systems. A miniSASS survey involves sampling the aquatic macroinvertebrate community in a stream or river reach and using the known sensitivities and tolerances of the taxa present to infer information about the water quality and health of the stream or river. The quality of the outcomes of a miniSASS survey is dependent on good sampling technique and accurate identification of aquatic macroinvertebrates by low-skilled citizen scientists. As such, there is potential for errors in sampling and identification which may impact the accuracy of results. In response, we aimed to 1) develop a smartphone application (miniSASS mobile app with built-in machine learning (ML) algorithm for the automatic, real-time identification of aquatic macroinvertebrates) to assist in miniSASS surveys, 2) modernise and upgrade the miniSASS website to handle new data submissions (including photographs) and improve the user interface (UI), and 3) develop an online miniSASS training course. This report presents the methodology and preliminary results pertaining to these objectives.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationPattinson, N. B.; Russell, C.; Taylor, J.; Dickens, Chris W. S.; Koen, R. C. J.; Koen, F. J.; Graham, P. M. 2023. Digital innovation with miniSASS, a citizen science biomonitoring tool. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation. 11p.en
dcterms.extent11p.en
dcterms.issued2023-11-14en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherCGIAR Initiative on Digital Innovationen
dcterms.subjectdigital technologyen
dcterms.subjectcitizen scienceen
dcterms.subjectbiomonitoringen
dcterms.subjectriversen
dcterms.subjectwater qualityen
dcterms.subjectmacroinvertebratesen
dcterms.subjectmobile applicationsen
dcterms.subjectmachine learningen
dcterms.subjectalgorithmsen
dcterms.subjectdatabasesen
dcterms.subjecttrainingen
dcterms.subjectsustainable development goalsen
dcterms.typeReport

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