Zobrazeno 1 - 10 of 63 pro vyhledávání: '"Jean-Marc Gilliot"'
1
Akademický článek
Data on spatio-temporal representation of mineral N fertilization and manure N application as well as ammonia volatilization in French regions for the crop year 2005/06
Autor: Sophie Génermont, Maharavo Marie Julie Ramanantenasoa, Karine Dufosse, Olivier Maury, Catherine Mignolet, Jean-Marc Gilliot
Publikováno v: Data in Brief, Vol 21, Iss , Pp 1119-1124 (2018)
The data presented in this article are related to the research article entitled “A new framework to estimate spatio-temporal ammonia emissions due to Nitrogen fertilization in France” (Ramanantenasoa et al., 2018) but are given with more details
Externí odkaz: https://doaj.org/article/226f0592a68342a7859ac3786dd53e78
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2
Akademický článek
Potential of Ultra-High-Resolution UAV Images with Centimeter GNSS Positioning for Plant Scale Crop Monitoring
Autor: Jean-Marc Gilliot, Dalila Hadjar, Joël Michelin
Publikováno v: Remote Sensing, Vol 14, Iss 10, p 2391 (2022)
To implement agricultural practices that are more respectful of the environment, precision agriculture methods for monitoring crop heterogeneity are becoming more and more spatially detailed. The objective of this study was to evaluate the potential
Externí odkaz: https://doaj.org/article/17eb538165ae423b8504fcc1be022720
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3
Akademický článek
Estimation des teneurs en carbone organique des sols agricoles par télédétection par drone
Autor: Jean-Marc Gilliot, Emmanuelle Vaudour, Joël Michelin, Sabine Houot
Publikováno v: Revue Française de Photogrammétrie et de Télédétection, Iss 213 (2017)
La matière organique (MO) est un élément important de la fertilité des sols cultivés. Les mesures de réflectance ont déjà été utilisées avec succès pour prédire la teneur en carbone organique (CO) des sols agricoles, soit au laboratoire
Externí odkaz: https://doaj.org/article/b22f3bd51204469e9eaa7f555448057d
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4
Akademický článek
Potential of Sentinel-1 Images for Estimating the Soil Roughness over Bare Agricultural Soils
Autor: Nicolas Baghdadi, Mohammad El Hajj, Mohammad Choker, Mehrez Zribi, Hassan Bazzi, Emmanuelle Vaudour, Jean-Marc Gilliot, Dav M. Ebengo
Publikováno v: Water, Vol 10, Iss 2, p 131 (2018)
The purpose of this study is to analyze the potential of Sentinel-1 C-band SAR data in VV polarization for estimating the surface roughness (Hrms) over bare agricultural soils. An inversion technique based on Multi-Layer Perceptron neural networks is
Externí odkaz: https://doaj.org/article/8e8246360d7e43b0a05b9d334ef15259
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5
Drilosphere dynamics in subsoil horizons : insights from an anthropo-chrono-sequence from Parisian basin
Autor: Ophélie Sauzet, Cecilia Cammas, Jean-Marc Gilliot, David Montagne
Soil structure dynamics is considered to be 'rapid' with a characteristic response time to changing environmental conditions of between 10 and 100 years (Targulian & Krasilnikov, 2007). Although land-use or agricultural practices are known to induce
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::164dc50d1afbc01f63e86ebe1366515f
https://doi.org/10.5194/egusphere-egu23-15037
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6
An accurate method for predicting spatial variability of maize yield from UAV-based plant height estimation: a tool for monitoring agronomic field experiments
Autor: Jean-Marc Gilliot, Sabine Houot, J. Michelin, D. Hadjard
Publikováno v: Precision Agriculture. 22:897-921
Estimating aboveground biomass is important for monitoring crop growth in agronomic field experiments. Often this estimation is done manually, destructively (mowing) or not (counting) on a relatively limited number of sub-plots within an experiment.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::91703c3d387d098305743fb1c3d58f14
https://doi.org/10.1007/s11119-020-09764-w
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8
Do alternative inventories converge on the spatiotemporal representation of spring ammonia emissions in France?
Autor: Audrey Fortems-Cheiney, Lieven Clarisse, Sophie Genermont, Frédérik Meleux, Florian Couvidat, Gilles Foret, Jean-Marc Gilliot, Pierre-François Coheur, Guillaume Siour, Karine Dufosse, Cathy Clerbaux, Martin Van Damme, Gaëlle Dufour, Matthias Beekmann
Publikováno v: Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics, European Geosciences Union, 2020, 20 (21), pp.13481-13495. ⟨10.5194/acp-20-13481-2020⟩
Atmospheric Chemistry and Physics, 2020, 20 (21), pp.13481-13495. ⟨10.5194/acp-20-13481-2020⟩
Atmospheric Chemistry and Physics, Vol 20, Pp 13481-13495 (2020)
Atmospheric chemistry and physics, 20 (21
Atmospheric Chemistry and Physics, European Geosciences Union, 2020, 20, pp.13481-13495. ⟨10.5194/acp-20-13481-2020⟩
Agriculture is the main source of ammonia (NH3) in France, an important gaseous precursor of atmospheric particulate matter (PM). National and global emission inventories are known to have difficulty representing the large spatial and temporal variab
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1cbe94a8efa51b49aa121b3ff2ce077
https://hal.archives-ouvertes.fr/hal-03442073/file/Fortems-Cheiney_ACP2020_acp-20-13481-2020.pdf
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9
Soil surface roughness measurement: A new fully automatic photogrammetric approach applied to agricultural bare fields
Autor: Jean-Marc Gilliot, J. Michelin, Emmanuelle Vaudour
Publikováno v: Computers and Electronics in Agriculture
Computers and Electronics in Agriculture, Elsevier, 2017, 134, pp.63-78. ⟨10.1016/j.compag.2017.01.010⟩
A photogrammetric approach to characterize soil surface roughness is proposed.The measurement itself was reduced to the shooting of 13 overlapping photographs.The data processing has been fully automated into a python script.A system accuracy of 1.5m
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38896a7c39efbba1f31fc82168680108
https://doi.org/10.1016/j.compag.2017.01.010
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10
Potential of Sentinel-1 for estimating the soil roughness over agricultural soils
Autor: Dav Ebengo Mwampongo, Mohammad El Hajj, Safa Bousbih, Nicolas Baghdadi, Mohammad Choker, Emmanuelle Vaudour, Hassan Bazzi, Mehrez Zribi, Jean-Marc Gilliot
Publikováno v: IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, Spain. pp.7516-7519, ⟨10.1109/IGARSS.2018.8519479⟩
IGARSS 2018-IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2018-IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valence, Spain. 2018
IGARSS
International audience; The potential of Sentinel-1 C-band SAR data in VV polarization for estimating the surface roughness (Hrms) over bare agricultural soils was studied. First, a neural network (NN) is used for estimating the soil moisture (mv). T
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e13a9a828d66c37164ae8db3813f0f2
https://hal.inrae.fr/hal-02608063
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