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Extracting leaf area index using viewing geometry effects : A new perspective on high-resolution unmanned aerial system photography / Lukas Roth in ISPRS Journal of photogrammetry and remote sensing, vol 141 (July 2018)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 141 (July 2018) . - pp 161 - 175 Titre : Extracting leaf area index using viewing geometry effects : A new perspective on high-resolution unmanned aerial system photography Type de document : Article/Communication Auteurs : Lukas Roth, Auteur ; Helge Aasen, Auteur ; Achim Walter, Auteur ; Frank Liebisch, Auteur Année de publication : 2018 Article en page(s) : pp 161 - 175 Note générale : Bibliography Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] apprentissage automatique [Termes IGN] cultures [Termes IGN] drone [Termes IGN] Glycine max [Termes IGN] image aérienne [Termes IGN] image RVB [Termes IGN] indice foliaire [Termes IGN] Leaf Area Index [Termes IGN] modélisation géométrique de prise de vue [Termes IGN] orthoimage géoréférencée [Termes IGN] segmentation d'image [Termes IGN] simulation 3D [Termes IGN] Suisse Résumé : (Editeur) Extraction of leaf area index (LAI) is an important prerequisite in numerous studies related to plant ecology, physiology and breeding. LAI is indicative for the performance of a plant canopy and of its potential for growth and yield. In this study, a novel method to estimate LAI based on RGB images taken by an unmanned aerial system (UAS) is introduced. Soybean was taken as the model crop of investigation. The method integrates viewing geometry information in an approach related to gap fraction theory. A 3-D simulation of virtual canopies helped developing and verifying the underlying model. In addition, the method includes techniques to extract plot based data from individual oblique images using image projection, as well as image segmentation applying an active learning approach. Data from a soybean field experiment were used to validate the method. The thereby measured LAI prediction accuracy was comparable with the one of a gap fraction-based handheld device ( of , RMSE of  m 2m−2) and correlated well with destructive LAI measurements ( of , RMSE of  m2 m−2). These results indicate that, if respecting the range (LAI ) the method was tested for, extracting LAI from UAS derived RGB images using viewing geometry information represents a valid alternative to destructive and optical handheld device LAI measurements in soybean. Thereby, we open the door for automated, high-throughput assessment of LAI in plant and crop science. Numéro de notice : A2018-287 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.04.012 Date de publication en ligne : 07/05/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.04.012 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90402 [article]

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081-2018071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2018073	DEP-EXM	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2018072	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt

GPS safety net GPS-Loran prototype processor / Lukas Roth in GPS world, vol 14 n° 5 (May 2003)

Public [article]  inGPS world > vol 14 n° 5 (May 2003) . - pp 36 - 40 Titre : GPS safety net GPS-Loran prototype processor Type de document : Article/Communication Auteurs : Lukas Roth, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 36 - 40 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes IGN] GPS assisté pour la navigation (technologies) [Termes IGN] intégration de données [Termes IGN] LORAN (système) [Termes IGN] positionnement par GPS [Termes IGN] prototype Résumé : (Auteur) A prototype GPS-Loran integration processor generates GPS-only, Loran-only, and combined GPS-Loran solutions. Developed for Federal Aviation Administration testing in an effort to support and complement GPS in multimodal applications, it also features a fault-detection and exclusion algorithm to incorporate Loran data and identify Loran faults. Copyright Questex Media Group Inc Numéro de notice : A2003-438 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26517 [article]

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067-03051	RAB	Revue	Centre de documentation	En réserve L003	Disponible