Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Anthony Laybros"'
Autor:
Melaine Aubry-Kientz, Anthony Laybros, Ben Weinstein, James Ball, Toby Jackson, David Coomes, Gregoire Vincent
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3927-3936 (2021)
Automatic tree crown segmentation from remote sensing data is especially challenging in dense, diverse, and multilayered tropical forest canopies, and tracking mortality by this approach is even more difficult. Here, we examine the potential for comb
Externí odkaz:
https://doaj.org/article/d64d54fa2f0544dba4d3794bc754cdf8
Autor:
Yuko Krzyzaniak, Frédéric Cointault, Camille Loupiac, Eric Bernaud, Frédéric Ott, Christophe Salon, Anthony Laybros, Simeng Han, Marie-Claire Héloir, Marielle Adrian, Sophie Trouvelot
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
The root system plays an essential role in the development and physiology of the plant, as well as in its response to various stresses. However, it is often insufficiently studied, mainly because it is difficult to visualize. For grapevine, a plant o
Externí odkaz:
https://doaj.org/article/579fa44347db46df9a6698e91c7d0b8d
Autor:
Anthony Laybros, Mélaine Aubry-Kientz, Jean-Baptiste Féret, Caroline Bedeau, Olivier Brunaux, Géraldine Derroire, Grégoire Vincent
Publikováno v:
Remote Sensing, Vol 12, Iss 10, p 1577 (2020)
Tropical forests have exceptional floristic diversity, but their characterization remains incomplete, in part due to the resource intensity of in-situ assessments. Remote sensing technologies can provide valuable, cost-effective, large-scale insights
Externí odkaz:
https://doaj.org/article/c2dd627734104b61a2e3fe9329787db8
Autor:
Anthony Laybros, Daniel Schläpfer, Jean-Baptiste Féret, Laurent Descroix, Caroline Bedeau, Marie-Jose Lefevre, Grégoire Vincent
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 789 (2019)
Imaging spectroscopy is a promising tool for airborne tree species recognition in hyper-diverse tropical canopies. However, its widespread application is limited by the signal sensitivity to acquisition parameters, which may require new training data
Externí odkaz:
https://doaj.org/article/7a0db791d809460c83aab106e73c1749
Publikováno v:
Remote Sensing, Vol 10, Iss 4, p 618 (2018)
Plant diseases are one of the main reasons behind major economic and production losses in the agricultural field. Current research activities enable large fields monitoring and plant disease detection using innovative and robust technologies. French
Externí odkaz:
https://doaj.org/article/5829abebce12449fba110c2571738a96
Autor:
Anthony Laybros, Christophe Salon, Marielle Adrian, Sophie Trouvelot, Camille Loupiac, Yuko Krzyzaniak, Marie-Claire Héloir, Frédéric Cointault, Eric Bernaud, Frédéric Ott, Simeng Han
Publikováno v:
Frontiers in Plant Science
Frontiers in Plant Science, Frontiers, 2021, 12 (1-15), ⟨10.3389/fpls.2021.638688⟩
Frontiers in Plant Science, 2021, 12 (1-15), ⟨10.3389/fpls.2021.638688⟩
Frontiers in Plant Science, Vol 12 (2021)
Frontiers in Plant Science, Frontiers, 2021, 12 (1-15), ⟨10.3389/fpls.2021.638688⟩
Frontiers in Plant Science, 2021, 12 (1-15), ⟨10.3389/fpls.2021.638688⟩
Frontiers in Plant Science, Vol 12 (2021)
International audience; The root system plays an essential role in the development and physiology of the plant, as well as in its response to various stresses. However, it is often insufficiently studied, mainly because it is difficult to visualize.
Autor:
Michele Dalponte, Grégoire Vincent, Jean-Baptiste Barré, Jocelyn Chanussot, Eduardo Tusa, Anthony Laybros, Jean-Matthieu Monnet, Jean-Baptiste Féret, Mauro Dalla Mura
Publikováno v:
Data Handling in Science and Technology
Data Handling in Science and Technology, 32, Elsevier, pp.281-303, 2020, Data Handling in Science and Technology, 978-0-444-63977-6. ⟨10.1016/B978-0-444-63977-6.00013-4⟩
Hyperspectral Imaging
Hyperspectral Imaging, 32, Elsevier, pp.281-303, 2020, Data Handling in Science and Technology, 978-0-444-63977-6. ⟨10.1016/B978-0-444-63977-6.00013-4⟩
Data Handling in Science and Technology, 32, Elsevier, pp.281-303, 2020, Data Handling in Science and Technology, 978-0-444-63977-6. ⟨10.1016/B978-0-444-63977-6.00013-4⟩
Hyperspectral Imaging
Hyperspectral Imaging, 32, Elsevier, pp.281-303, 2020, Data Handling in Science and Technology, 978-0-444-63977-6. ⟨10.1016/B978-0-444-63977-6.00013-4⟩
International audience; Effective strategies for forest characterization and monitoring are important to support sustainable management. Recent advances in remote sensing, like hyperspectral and LiDAR sensors, provide valuable information to describe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31e986cc18dfc6b805438727eb9518ca
https://hal.umontpellier.fr/hal-02443395
https://hal.umontpellier.fr/hal-02443395
Publikováno v:
Remote Sensing; Volume 10; Issue 4; Pages: 618
Remote Sensing
Remote Sensing, MDPI, 2018, 10 (4), ⟨10.3390/rs10040618⟩
Remote Sensing, Vol 10, Iss 4, p 618 (2018)
Remote Sensing, MDPI, 2018, 10 (4), pp.2-18. ⟨10.3390/rs10040618⟩
Remote Sensing, MDPI, 2018, 10 (4), 〈10.3390/rs10040618〉
Remote Sensing
Remote Sensing, MDPI, 2018, 10 (4), ⟨10.3390/rs10040618⟩
Remote Sensing, Vol 10, Iss 4, p 618 (2018)
Remote Sensing, MDPI, 2018, 10 (4), pp.2-18. ⟨10.3390/rs10040618⟩
Remote Sensing, MDPI, 2018, 10 (4), 〈10.3390/rs10040618〉
International audience; Plant diseases are one of the main reasons behind major economic and production losses in the agricultural field. Current research activities enable large fields monitoring and plant disease detection using innovative and robu
Autor:
Eduardo Tusa, Anthony Laybros, Jean-Baptiste Barré, Jean-Matthieu Monnet, Mauro Dalla Mura, Michele Dalponte, Grégoire Vincent, Jocelyn Chanussot, Frédéric Berger
Publikováno v:
HAL
Geophysical Research Abstracts
EGU 2019-European Geosciences Union General Assembly
EGU 2019-European Geosciences Union General Assembly, Apr 2019, Vienne, Austria. pp.1
Geophysical Research Abstracts
EGU 2019-European Geosciences Union General Assembly
EGU 2019-European Geosciences Union General Assembly, Apr 2019, Vienne, Austria. pp.1
International audience; Effective strategies for forest characterization and monitoring, are important to support sustainable management.Recent advances in remote sensing, like LiDAR and hyperspectral sensors, provide valuable information to char-act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8a9d197f1c20dc9639a94e0ddb4326a0
https://hal.inrae.fr/hal-02610076
https://hal.inrae.fr/hal-02610076