Remote sensing and automatic procedures: useful tools to monitor forest harvesting

Forest

article

Saverio Francini¹  Giovanni D’Amico¹  Gherardo Chirici¹  Marco Mencucci⁴  Giovanni Seri⁵  Elisabetta Gravano⁶ 

[1] Dipartimento di Scienze e Tecnologie Agrarie, Alimentari, Ambientali e Forestali, Università degli Studi di Firenze. v. San Bonaventura;Dipartimento di Bioscienze e Territorio, Università degli Studi del Molise;Dipartimento per l’Innovazione dei sistemi Biologici, Agroalimentari e Forestali, Università degli Studi della Tuscia;Reparto Carabinieri Parco Nazionale Foreste Casentinesi;Istituto Nazionale Di Statistica;Regione Toscana

关键词: Remote Sensing;    Sentinel-2;    Forest Disturbance;    Harvest;    PlanetScope;   

DOI  :  10.3832/efor3835-018

学科分类：社会科学、人文和艺术（综合）

来源: Societa Italiana di Selvicoltura ed Ecologia Forestale (S I S E F)

【 摘 要 】

Forests produce a wide range of ecosystem services, including the traditional wood production. Sustainable forest management approaches are used to locally calibrate wood harvesting on the basis of local conditions and should not adversely affect other ecosystem services. To assess forest harvesting sustainability and impacts it is essential to know their spatial distribution. At the present date accurate statistics on wood harvesting are not available in Italy. In this context, remote sensing and automatic mapping algorithms constitute an important tool for providing spatially explicit information to quantify wood harvesting and thus supporting more sustainable forest management approaches. In this work we tested an automatic mapping algorithm (3I3D) using multitemporal Sentinel-2 imagery to produce a map of forest disturbance produced by different types of wood harvesting in the province of Arezzo for the year 2018. Thanks to a photo-interpretation work of high resolution PlanetScope imagery and field data collected by the Carabinieri Forestali, we were able to calculate commission (2%) and omission (18%) errors of the automatic 3I3D map. The results of this work motivate the introduction of remote sensing tools as a support for monitoring and quantification of forest wood harvesting.

【 授权许可】

Unknown