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Forestry applications of UAVs in Europe: a review / Chiara Torresan in International Journal of Remote Sensing IJRS, vol 38 n° 8-10 (April 2017)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 38 n° 8-10 (April 2017) . - pp 2427 - 2447 Titre : Forestry applications of UAVs in Europe: a review Type de document : Article/Communication Auteurs : Chiara Torresan, Auteur ; Andrea Berton, Auteur ; Federico Caretenuto, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 2427 - 2447 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] classification [Termes IGN] données dendrométriques [Termes IGN] données lidar [Termes IGN] drone [Termes IGN] image hyperspectrale [Termes IGN] rayonnement lumineux [Termes IGN] règlement [Termes IGN] surveillance forestière Résumé : (auteur) Unmanned aerial vehicles (UAVs) or remotely piloted aircraft systems are new platforms that have been increasingly used over the last decade in Europe to collect data for forest research, thanks to the miniaturization and cost reduction of GPS receivers, inertial navigation system, computers, and, most of all, sensors for remote sensing. In this review, after describing the regulatory framework for the operation of UAVs in the European Union (EU), an overview of applications in forest research is presented, followed by a discussion of the results obtained from the analysis of different case studies. Rotary-wing and fixed-wing UAVs are equally distributed among the case studies, while ready-to-fly solutions are preferred over self-designed and developed UAVs. Most adopted technologies are visible-red, green, and blue, multispectral in visible and near-infrared, middle-infrared, thermal infrared imagery, and lidar. The majority of current UAV-based applications for forest research aim to inventory resources, map diseases, classify species, monitor fire and its effects, quantify spatial gaps, and estimate post-harvest soil displacement. Successful implementation of UAVs in forestry depends on UAV features, such as flexibility of use in flight planning, low cost, reliability and autonomy, and capability of timely provision of high-resolution data. Unfortunately, the fragmented regulations among EU countries, a result of the lack of common rules for operating UAVs in Europe, limit the chance to operate within Europe’s boundaries and prevent research mobility and exchange opportunities. Nevertheless, the applications of UAVs are expanding in different domains, and the use of UAVs in forestry will increase, possibly leading to a regular utilization for small-scale monitoring purposes in Europe when recent technologies (i.e. hyperspectral imagery and lidar) and methodological approaches will be consolidated. Numéro de notice : A2017-681 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431161.2016.1252477 En ligne : http://dx.doi.org/10.1080/01431161.2016.1252477 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87243 [article]

Using classification trees to predict forest structure types from LiDAR data / Chiara Torresan in Annals of forest research, vol 59 n° 2 (July - December 2016)  

Public [article]  inAnnals of forest research > vol 59 n° 2 (July - December 2016) . - pp Titre : Using classification trees to predict forest structure types from LiDAR data Type de document : Article/Communication Auteurs : Chiara Torresan, Auteur ; Piermaria Corona, Auteur ; Gianfranco Scrinzi, Auteur ; Joan Valls Marsal, Auteur Année de publication : 2016 Article en page(s) : pp Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] centroïde [Termes IGN] classification non dirigée [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] hauteur des arbres [Termes IGN] structure d'un peuplement forestier [Termes IGN] surface terrière Numéro de notice : A2016-908 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.15287/afr.2016.423 En ligne : http://dx.doi.org/10.15287/afr.2016.423 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83077 [article]