Integrating random forest and synthetic aperture radar improves the estimation and monitoring of woody cover in indigenous forests of South Africa

dc.contributor.authorQabaqaba, Mcebisi
dc.contributor.authorNaidoo, Laven
dc.contributor.authorTsele, Philemon
dc.contributor.authorRamoelo, Abel
dc.contributor.authorCho, Moses Azong
dc.contributor.emailphilemon.tsele@up.ac.zaen_US
dc.date.accessioned2023-09-20T12:15:20Z
dc.date.available2023-09-20T12:15:20Z
dc.date.issued2023-03
dc.description.abstractPlease read abstract in article.en_US
dc.description.departmentGeography, Geoinformatics and Meteorologyen_US
dc.description.sponsorshipThe Council for Scientific and Industrial Research (CSIR), The Southern Africa Science Service Centre for Climate and Adaptive Land Management (SASSCAL), The National Research Foundation of South Africa (NRF), University of Pretoria.en_US
dc.description.urihttps://www.springer.com/journal/12518en_US
dc.identifier.citationQabaqaba, M., Naidoo, L., Tsele, P. et al. Integrating random forest and synthetic aperture radar improves the estimation and monitoring of woody cover in indigenous forests of South Africa. Applied Geomatics15, 209–225 (2023). https://doi.org/10.1007/s12518-023-00497-9.en_US
dc.identifier.issn1866-9298 (print)
dc.identifier.issn1866-928X (online)
dc.identifier.other10.1007/s12518-023-00497-9
dc.identifier.urihttp://hdl.handle.net/2263/92345
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.subjectALOS PALSARen_US
dc.subjectWoody canopy cover (CC)en_US
dc.subjectSupport vector machinesen_US
dc.subjectRandom foresten_US
dc.subjectCollect earth onlineen_US
dc.titleIntegrating random forest and synthetic aperture radar improves the estimation and monitoring of woody cover in indigenous forests of South Africaen_US
dc.typeArticleen_US

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