{"title":"New Model Can Better Predict Areas Vulnerable to Forest Fires in India","authors":"Ravi Pragathi","doi":"10.1029/2024eo240307","DOIUrl":null,"url":null,"abstract":"Researchers incorporated local atmospheric parameters and terrain data to more accurately estimate the probability of fire in a specific area.","PeriodicalId":52431,"journal":{"name":"Eos","volume":"56 16","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eos","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1029/2024eo240307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Researchers incorporated local atmospheric parameters and terrain data to more accurately estimate the probability of fire in a specific area.
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