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 |