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UAS, sensors, and data processing in agroforestry: a review towards practical applications / Luis Padua 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 2349 - 2391 Titre : UAS, sensors, and data processing in agroforestry: a review towards practical applications Type de document : Article/Communication Auteurs : Luis Padua, Auteur ; Jakub Vanko, Auteur ; Jonas Hruska, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 2349 - 2391 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] agroforesterie [Termes IGN] capteur (télédétection) [Termes IGN] capteur aérien [Termes IGN] drone [Termes IGN] reconstruction 3D [Termes IGN] segmentation [Termes IGN] traitement de données Résumé : (auteur) The aim of this study is twofold: first, to present a survey of the actual and most advanced methods related to the use of unmanned aerial systems (UASs) that emerged in the past few years due to the technological advancements that allowed the miniaturization of components, leading to the availability of small-sized unmanned aerial vehicles (UAVs) equipped with Global Navigation Satellite Systems (GNSS) and high quality and cost-effective sensors; second, to advice the target audience – mostly farmers and foresters – how to choose the appropriate UAV and imaging sensor, as well as suitable approaches to get the expected and needed results of using technological tools to extract valuable information about agroforestry systems and its dynamics, according to their parcels’ size and crop’s types.Following this goal, this work goes beyond a survey regarding UAS and their applications, already made by several authors. It also provides recommendations on how to choose both the best sensor and UAV, in according with the required application. Moreover, it presents what can be done with the acquired sensors’ data through theuse of methods, procedures, algorithms and arithmetic operations. Finally, some recent applications in the agroforestry research area are presented, regarding the main goal of each analysed studies, the used UAV, sensors, and the data processing stage to reach conclusions. Numéro de notice : A2017-682 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431161.2017.1297548 En ligne : http://dx.doi.org/10.1080/01431161.2017.1297548 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87244 [article]