1,721,183 research outputs found

    Panoramas paysages Madagascar acquis par drone

    No full text
    Contexte : clichés réalisés dans le cadre de la mission terrain pour le projet CES-Paysage, APR CNES du 29/04 au 03/05/2022 Réalisation : Panoramas réalisées à partir d’acquisition drones (Parrot, Anafi) et assemblés en utilisant le logiciel Hugin © (logiciel gratuit, GNU General public licence, http://hugin.sourceforge.net/). Référent : [email protected]

    Données lidar acquises par drone au pied du Pic St Loup (34)

    No full text
    Acquisitions Lidar par drones sur la commune de Cazevielle, au pied du Pic-St-Loup (34). Survol financé par le Projet SenthyMed , CNES. Acquisition les 23 et 25 juin 2021. Télépilotes unité TETIS, Montpellier : Samuel Alleaume : [email protected] Audrey Jolivot : [email protected] . Capteur : Yellowscan, Surveyor • Centrale GNSS-inertielle : Applanix APX-15 UAV • Lidar : Velodyne VLP16 (Puck) : Longueur d’onde:905 nm / 300 000 pulses par seconde (300 kHz) / 2 échos par pulse / Angle de vue : 360 deg • Précision : 4cm Vecteur : drone DJI Matrice 600 Pro 4 zones couvertes d'une quinzaine d'hectares. Densité de point de 200 à 250 point par m2

    données lidar acquises par drone sur site de Puechabon (34)

    No full text
    Acquisitions Lidar par drones des sites d’études SentyMed , juin 2021. Télépilotes unité TETIS, Montpellier : Samuel Alleaume : [email protected] Audrey Jolivot : [email protected] Capteur : Yellowscan, Surveyor • Centrale GNSS-inertielle : Applanix APX-15 UAV • Lidar : Velodyne VLP16 (Puck) : Longueur d’onde:905 nm / 300 000 pulses par seconde (300 kHz) / 2 échos par pulse / Angle de vue : 360 deg • Précision : 4cm Vecteur : drone DJI Matrice 600 Pr

    Données lidar acquises par drone UE Citrus, San Giuliano, Corse

    No full text
    Acquisitions Lidar par drones l'unité expérimentale Citrus, de San Giuliano, Corse (2B). Survol financé par l'UE Citrus Acquisition le 13 octobre 2021. Télépilotes unité TETIS, Montpellier : Samuel Alleaume : [email protected] Audrey Jolivot : [email protected] . Capteur : Yellowscan, Surveyor • Centrale GNSS-inertielle : Applanix APX-15 UAV • Lidar : Velodyne VLP16 (Puck) : Longueur d’onde:905 nm / 300 000 pulses par seconde (300 kHz) / 2 échos par pulse / Angle de vue : 360 deg • Précision : 4cm Vecteur : drone DJI Matrice 600 Pro 4 <p

    Lidar data acquired by drone in the Louchats forest, Gironde, France

    No full text
    Acquisition date : 2022/07/06 Sensor :Yellowscan, Surveyor - GNSS-inertial station: Applanix APX-15 UAV - Lidar: Velodyne VLP16 (Puck) : Wavelength: 905 nm / 300,000 pulses per second (300 kHz) / 2 echoes per pulse / Angle of view: 360 deg - Accuracy: 4cm Vector: DJI Matrice 600 Pro drone Flight conditions : - Trajectory design: double grid, distance between lines: 40 m - Speed: 5m/s - Flight height: 50m above ground level, constrained by IGN DTM at 5m spatial resolution -Flight planning software: UGCS-4.0.134 Pre-processing software : - Applanix POSPac UAV 8.4: trajectory post-processing based on the UAV's GNSS inertial unit data, using a reference GNSS base station. The correction solution for each trajectory is exported as an ASCII SBET (Smoothed Best Estimated Trajectory) file. - Yellowscan CloudStation V2106.0.0: The SBET file is integrated into the software to generate point clouds in .las format projected in RGF93/Lambert 93

    Lidar data acquired by drone at the Bordeaux observatory (Floirac)

    No full text
    Acquisition date : 2022/07/06 Sensor :Yellowscan, Surveyor - GNSS-inertial station: Applanix APX-15 UAV - Lidar: Velodyne VLP16 (Puck) : Wavelength: 905 nm / 300,000 pulses per second (300 kHz) / 2 echoes per pulse / Angle of view: 360 deg - Accuracy: 4cm Vector: DJI Matrice 600 Pro drone Flight conditions : - Trajectory design: double grid, distance between lines: 40 m - Speed: 5m/s - Flight height: 50m above ground level, constrained by IGN DTM at 5m spatial resolution -Flight planning software: UGCS-4.0.134 Pre-processing software : - Applanix POSPac UAV 8.4: trajectory post-processing based on the UAV's GNSS inertial unit data, using a reference GNSS base station. The correction solution for each trajectory is exported as an ASCII SBET (Smoothed Best Estimated Trajectory) file. - Yellowscan CloudStation V2106.0.0: The SBET file is integrated into the software to generate point clouds in .las format projected in RGF93/Lambert 93

    Données et produits lidar drone, réserve forestière naturelle de la Massane - Drone lidar data and products, Massane natural forest reserve

    No full text
    Located in the Argeles-sur-Mer municipality, Pyrénées Orientales, the Massane forest reserve is an OSU-OREME long term observatory . A lidar drone survey was carried out on 30 September 2020.0. Telepilots from theTETIS research unit, Montpellier : Eric Larmanou ; Samuel Alleaume. Financement : OSU-OREME. This dataset includes raw data and derived raster products

    Going Beyond Counting First Authors in Author Co-citation Analysis

    Full text link
    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

    Full text link
    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
    corecore