{"title":"Assessment of alternative forest road routes and landslide susceptibility mapping using machine learning","authors":"Ender Buğday, A. Akay","doi":"10.1590/01047760202228012976","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":50705,"journal":{"name":"Cerne","volume":"1 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cerne","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1590/01047760202228012976","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"FORESTRY","Score":null,"Total":0}
期刊介绍:
Cerne is a journal edited by the Federal University of Lavras, Minas Gerais state, Brazil, which quarterly publishes original articles that represent relevant contribution to Forestry Science development (Forest ecology, Forest Management, Silviculture, Technology of Forest Products).