G. Chirici, F. Bottalico, Francesca Giannetti, P. Rossi, Barbara Del Perugia, Davide Travaglini, S. Nocentini, E. Marchi, Cristiano Foderi, M. Fioravanti, Lorenzo Fattorini, A. Guariglia, O. Ciancio, L. Bottai, P. Corona, B. Gozzini
{"title":"Stima dei danni da vento ai soprassuoli forestali in Regione Toscana a seguito dell'evento del 5 marzo 2015","authors":"G. Chirici, F. Bottalico, Francesca Giannetti, P. Rossi, Barbara Del Perugia, Davide Travaglini, S. Nocentini, E. Marchi, Cristiano Foderi, M. Fioravanti, Lorenzo Fattorini, A. Guariglia, O. Ciancio, L. Bottai, P. Corona, B. Gozzini","doi":"10.4129/IFM.2016.4.02","DOIUrl":null,"url":null,"abstract":"Wind is a major disturbing agent to European forests and climate change is increasing the occurrence of extreme events in the last years. On March 5 th 2015, the Tuscany region was hit by a windstorm that caused extensive damage to forest stands. The aim of this work is to present a simple methodology to map damaged forest area and number and volume of fallen trees. The use of remote sensing data and in particular the potentiality of Airborne Laser Scanning (ALS) data is discussed in this study.","PeriodicalId":336087,"journal":{"name":"L'italia Forestale E Montana","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"L'italia Forestale E Montana","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4129/IFM.2016.4.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Wind is a major disturbing agent to European forests and climate change is increasing the occurrence of extreme events in the last years. On March 5 th 2015, the Tuscany region was hit by a windstorm that caused extensive damage to forest stands. The aim of this work is to present a simple methodology to map damaged forest area and number and volume of fallen trees. The use of remote sensing data and in particular the potentiality of Airborne Laser Scanning (ALS) data is discussed in this study.
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