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

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dc.contributor.author Qabaqaba, Mcebisi
dc.contributor.author Naidoo, Laven
dc.contributor.author Tsele, Philemon
dc.contributor.author Ramoelo, Abel
dc.contributor.author Cho, Moses Azong
dc.date.accessioned 2023-09-20T12:15:20Z
dc.date.available 2023-09-20T12:15:20Z
dc.date.issued 2023-03
dc.description.abstract Please read abstract in article. en_US
dc.description.department Geography, Geoinformatics and Meteorology en_US
dc.description.sponsorship The 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.uri https://www.springer.com/journal/12518 en_US
dc.identifier.citation Qabaqaba, 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.issn 1866-9298 (print)
dc.identifier.issn 1866-928X (online)
dc.identifier.other 10.1007/s12518-023-00497-9
dc.identifier.uri http://hdl.handle.net/2263/92345
dc.language.iso en en_US
dc.publisher Springer en_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.subject ALOS PALSAR en_US
dc.subject Woody canopy cover (CC) en_US
dc.subject Support vector machines en_US
dc.subject Random forest en_US
dc.subject Collect earth online en_US
dc.title Integrating random forest and synthetic aperture radar improves the estimation and monitoring of woody cover in indigenous forests of South Africa en_US
dc.type Article en_US


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