Hasil Pencarian - Jean-Matthieu Monnet

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  1. 1
    COMPARAISON DE MÉTHODES DE SPATIALISATION POUR L’AGRÉGATION PAR PARCELLE DES ESTIMATIONS DE PARAMÈTRES FORESTIERS PAR LIDAR AÉROPORTÉ

    COMPARAISON DE MÉTHODES DE SPATIALISATION POUR L’AGRÉGATION PAR PARCELLE DES ESTIMATIONS DE PARAMÈTRES FORESTIERS PAR LIDAR AÉROPORTÉ oleh Jean-Matthieu Monnet

    Diterbitkan 2015-12-01
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  2. 2
    Detecting overmature forests with airborne laser scanning (ALS)

    Detecting overmature forests with airborne laser scanning (ALS) oleh Marc Fuhr, Etienne Lalechère, Jean‐Matthieu Monnet, Laurent Bergès

    Diterbitkan 2022-10-01
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  3. 3
    Sylvaccess : un modèle pour cartographier automatiquement l’accessibilité des forêts

    Sylvaccess : un modèle pour cartographier automatiquement l’accessibilité des forêts oleh Sylvain Dupire, Franck Bourrier, Jean-Matthieu Monnet, Frédéric Berger

    Diterbitkan 2015-04-01
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  4. 4
    Importance and effectiveness of correction methods for spatial sampling bias in species with sex‐specific habitat preference

    Importance and effectiveness of correction methods for spatial sampling bias in species with sex‐specific habitat preference oleh Anouk Glad, Jean‐Matthieu Monnet, Jörn Pagel, Björn Reineking

    Diterbitkan 2019-12-01
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  5. 5
    Assessing the performance of object‐oriented LiDAR predictors for forest bird habitat suitability modeling

    Assessing the performance of object‐oriented LiDAR predictors for forest bird habitat suitability modeling oleh Anouk Glad, Björn Reineking, Marc Montadert, Alexandra Depraz, Jean‐Matthieu Monnet

    Diterbitkan 2020-03-01
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  6. 6
    Enhancing Forest Attribute Prediction by Considering Terrain and Scan Angles From Lidar Point Clouds: A Neural Network Approach

    Enhancing Forest Attribute Prediction by Considering Terrain and Scan Angles From Lidar Point Clouds: A Neural Network Approach oleh Karun R. Dayal, Sylvie Durrieu, Kamel Lahssini, Dino Ienco, Jean-Matthieu Monnet

    Diterbitkan 2023-01-01
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  7. 7
    Combining LiDAR Metrics and Sentinel-2 Imagery to Estimate Basal Area and Wood Volume in Complex Forest Environment via Neural Networks

    Combining LiDAR Metrics and Sentinel-2 Imagery to Estimate Basal Area and Wood Volume in Complex Forest Environment via Neural Networks oleh Kamel Lahssini, Florian Teste, Karun Reuel Dayal, Sylvie Durrieu, Dino Ienco, Jean-Matthieu Monnet

    Diterbitkan 2022-01-01
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  8. 8
    The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations [version 2; peer review: 2 approved]

    The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed forest stands and simulating management operations [version 2; peer review: 2 approved] oleh Raphaël Aussenac, Thomas Pérot, Mathieu Fortin, Francois de Coligny, Jean-Matthieu Monnet, Patrick Vallet

    Diterbitkan 2021-11-01
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  9. 9
    Diameter, height and species of 42 million trees in three European landscapes generated from field data and airborne laser scanning data [version 2; peer review: 2 approved]

    Diameter, height and species of 42 million trees in three European landscapes generated from field data and airborne laser scanning data [version 2; peer review: 2 approved] oleh Jean-Matthieu Monnet, Patrick Vallet, Raphaël Aussenac, Paweł Hawryło, Matija Klopčič, Mats Mahnken, Jarosław Socha, Thomas Cordonnier, Martin Gutsch

    Diterbitkan 2023-12-01
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  10. 10
    Avalanche activity and socio-environmental changes leave strong footprints in forested landscapes: a case study in the Vosges medium-high mountain range

    Avalanche activity and socio-environmental changes leave strong footprints in forested landscapes: a case study in the Vosges medium-high mountain range oleh Florie Giacona, Nicolas Eckert, Robin Mainieri, Brice Martin, Christophe Corona, Jérôme Lopez-Saez, Jean-Matthieu Monnet, Mohamed Naaim, Markus Stoffel

    Diterbitkan 2018-12-01
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  11. 11
    A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space

    A Benchmark of Lidar-Based Single Tree Detection Methods Using Heterogeneous Forest Data from the Alpine Space oleh Lothar Eysn, Markus Hollaus, Eva Lindberg, Frédéric Berger, Jean-Matthieu Monnet, Michele Dalponte, Milan Kobal, Marco Pellegrini, Emanuele Lingua, Domen Mongus, Norbert Pfeifer

    Diterbitkan 2015-05-01
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