Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest

Phinzi, KwaneleNgetar, Njoya SilasPham, Quoc BaoChakilu, Gashaw GismuSzabó, Szilárd2023-10-152023-10-152023Earth Science Informatics. -16 : 4 (2023), p. 3667-3677. -Earth Sci Inform. - 1865-0473. - 1865-04811865-04811865-0473https://hdl.handle.net/2437/359776Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forestfolyóiratcikkopen access articlehttps://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM115323TermészettudományokFöldtudományokhttps://link.springer.com/10.1007/s12145-023-01117-1http://dx.doi.org/10.1007/s12145-023-01117-12023-10-1500108650390000285174061140