Zhang, TianxiangSu, JinyaXu, ZhiyongLuo, YulinLi, Jiangyun2022-04-252022-04-252021-01-08Zhang, T, Su, J, Xu, Z, Luo, Y & Li, J 2021, 'Sentinel-2 satellite imagery for urban land cover classification by optimized random forest classifier', Applied Sciences (Switzerland), vol. 11, no. 2, 543. https://doi.org/10.3390/app110205432076-3417ORCID: /0000-0002-3121-7208/work/112496158https://hdl.handle.net/2164/18476Funding: This work was supported by the Fundamental Research Funds for the China Central Universities of USTB (FRF-DF-19-002), Scientific and Technological Innovation Foundation of Shunde Graduate School, USTB (BK20BE014).176089082engSDG 15 - Life on LandBayesian optimizationHyperparameter tuningLand cover classificationRandom forestSentinel-2 satelliteUrban managementQA75 Electronic computers. Computer scienceGeneral Materials ScienceInstrumentationGeneral EngineeringProcess Chemistry and TechnologyComputer Science ApplicationsFluid Flow and Transfer ProcessesQA75Journal article10.3390/app11020543https://www.scopus.com/pages/publications/85099230620