Land use and land cover (LULC) performance modeling using machine learning algorithms: a case study of the city of Melbourne, Australia
Crossref DOI link: https://doi.org/10.1038/s41598-023-40564-0
Published Online: 2023-08-19
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Aryal, Jagannath
Sitaula, Chiranjibi
Frery, Alejandro C.
Text and Data Mining valid from 2023-08-19
Version of Record valid from 2023-08-19
Article History
Received: 16 May 2023
Accepted: 13 August 2023
First Online: 19 August 2023
Competing interests
: The authors declare no competing interests.