Search Results - "Lebourgeois, Valentine"

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    Remote Sensing and Cropping Practices: A Review by Bégué, Agnès, Arvor, Damien, Bellon, Beatriz, Betbeder, Julie, de Abelleyra, Diego, P. D. Ferraz, Rodrigo, Lebourgeois, Valentine, Lelong, Camille, Simões, Margareth, R. Verón, Santiago

    Published in Remote sensing (Basel, Switzerland) (01-01-2018)
    “…For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this…”
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    Journal Article
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    Analyzing Urban Agriculture’s Contribution to a Southern City’s Resilience through Land Cover Mapping: The Case of Antananarivo, Capital of Madagascar by Dupuy, Stéphane, Defrise, Laurence, Lebourgeois, Valentine, Gaetano, Raffaele, Burnod, Perrine, Tonneau, Jean-Philippe

    Published in Remote sensing (Basel, Switzerland) (01-06-2020)
    “…High urbanization rates in cities lead to rapid changes in land uses, particularly in southern cities where population growth is fast. Urban and peri-urban…”
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    Journal Article
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    Can Commercial Digital Cameras Be Used as Multispectral Sensors? A Crop Monitoring Test by Lebourgeois, Valentine, Bégué, Agnès, Labbé, Sylvain, Mallavan, Benjamin, Prévot, Laurent, Roux, Bruno

    Published in Sensors (Basel, Switzerland) (17-11-2008)
    “…The use of consumer digital cameras or webcams to characterize and monitor different features has become prevalent in various domains, especially in…”
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    Journal Article
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    Coupling historical prospection data and a remotely-sensed vegetation index for the preventative control of Desert locusts by Piou, Cyril, Lebourgeois, Valentine, Benahi, Ahmed Salem, Bonnal, Vincent, Jaavar, Mohamed el Hacen, Lecoq, Michel, Vassal, Jean-Michel

    Published in Basic and applied ecology (01-11-2013)
    “…Locusts are grasshopper species that exhibit phase polyphenism resulting in the expression of gregarious behaviors that favor the development of large…”
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    Journal Article
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    Insight into large-scale LULC changes and their drivers through breakpoint characterization – An application to Senegal by Ngadi Scarpetta, Yasmine, Lebourgeois, Valentine, Dieye, Mohamadou, Laques, Anne-Elisabeth, Begue, Agnès

    “…•BFASTm-L2 change characterization provides insight into national land dynamics.•Differentiation between change types improves understanding of LULC change…”
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    Journal Article
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    Coupling a sugarcane crop model with the remotely sensed time series of fIPAR to optimise the yield estimation by Morel, Julien, Bégué, Agnès, Todoroff, Pierre, Martiné, Jean-François, Lebourgeois, Valentine, Petit, Michel

    Published in European journal of agronomy (01-11-2014)
    “…•We test several ways of coupling remote sensing data to a sugarcane crop model.•Forcing the model enhances the yield estimation (RMSE=14.5 vs…”
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    Journal Article
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    Stress indicators based on airborne thermal imagery for field phenotyping a heterogeneous tree population for response to water constraints by Virlet, Nicolas, Lebourgeois, Valentine, Martinez, Sébastien, Costes, Evelyne, Labbé, Sylvain, Regnard, Jean-Luc

    Published in Journal of experimental botany (01-10-2014)
    “…Highlight textThermal infrared imagery contributes to the phenotyping of crop response to water stress. Based on multispectral images, the Vegetation…”
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    Journal Article
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    Spatio-temporal variability of sugarcane fields and recommendations for yield forecast using NDVI by Bégué, A., Lebourgeois, V., Bappel, E., Todoroff, P., Pellegrino, A., Baillarin, F., Siegmund, B.

    Published in International journal of remote sensing (01-06-2010)
    “…Sugarcane is a semi-perennial grass whose cultivation is characterized by an extended harvest season lasting several months leading to very high…”
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    Journal Article
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    Recalibrating a sugarcane crop model using thermal infrared data by Morel, Julien, Lebourgeois, Valentine, Martine, Jean-Francois, Todoroff, Pierre, Begue, Agnes, Petit, Michel

    “…Coupling remotely sensed data with crop model is known to improve the estimation of crop variables by the model. The recalibration coupling approach tends to…”
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    Conference Proceeding