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472 Research products, page 4 of 48

  • Rural Digital Europe
  • Other research products
  • CemOA
  • Munich RePEc Personal Archive

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  • Other research product . 2019
    Open Access English
    Authors: 
    El Hajj, M.; Baghdadi, N.; Labrière, N.; Bailly, J.S.; Villard, L.;

    The aim of this paper is to map the aboveground biomass (AGB) in Gabon. First, a randomforest (RF) model that relates reference AGB values to remote sensing (RS)-derived vari-ables (mainly radar and optical images) was built, and the significant predictive variableswere...

  • Open Access English
    Authors: 
    Cresson, R.;

    Deep learning (DL) techniques are becoming increasingly important to solve a number of image processing tasks. Among common algorithms, convolutional neural network- and recurrent neural network-based systems achieve state-of-the-art results on satellite and aerial imag...

  • Open Access English
    Authors: 
    Pasquet, J.; Pasquet, J.; Chaumont, M.; Fouchez, D.;

    We developed a deeP architecturE for the LIght Curve ANalysis (PELICAN) for the characterization and the classification of supernovae light curves. It takes light curves as input, without any additional features. PELICAN can deal with the sparsity and the irregular samp...

  • Open Access English
    Authors: 
    Nasrallah, A.; Baghdadi, N.; El Hajj, M.; Darwish, T.; Belhouchette, H.; Faour, G.; Darwich, S.; Mhawej, M.;

    The ability of Synthetic Aperture Radar (SAR) Sentinel-1 data to detect the main wheat phenological phases was investigated in the Bekaa plain of Lebanon. Accordingly, the temporal variation of Sentinel-1 (S1) signal was analyzed as a function of the phenological phases...

  • Open Access English
    Authors: 
    Baghdadi, N.; Cresson, R.; El Hajj, M.; Ludwig, R.; La Jeunesse, I.;
    Project: EC | CLIMB (244151)

    The purpose of this study was to develop an approach to estimate soil surface parameters from C-band polarimetric SAR data in the case of bare agricultural soils. An inversion technique based on multi-layer perceptron (MLP) neural networks was introduced. The neural net...

  • Open Access English
    Authors: 
    Sellami, H.; La Jeunesse, I.; Benabdallah, S.; Baghdadi, N.; Vanclooster, M.;
    Project: EC | CLIMB (244151)

    In this study a method for propagating the hydrological model uncertainty in discharge predictions of ungauged Mediterranean catchments using a model parameter regionalization approach is presented. The method is developed and tested for the Thau catchment located in so...

  • Open Access English
    Authors: 
    Berducat, M.;
    Publisher: ATB, Postdam, Leibniz Institut fur Agrartechnick und Biookonomie

    Beyond some scientific and technological challenges, this presentation will underline several other criteria to consider in order to give the key for a real market development of agricultural robots in close relationship with the operational needs and the constraints of...

  • Open Access French
    Authors: 
    Sorel, N.;

    / Ce mémoire porte sur le développement d'algorithmes de perception par vision artificielle pour le guidage d'un bras robotisé évoluant en milieu agricole, et plus précisément dans des champs de betteraves sucrières. Pour un bras robotisé, la détection de son environnem...

  • Open Access English
    Authors: 
    Khiali, L.; Ienco, D.; Teisseire, M.;

    Nowadays, remote sensing technologies produce huge amounts of satellite images that can be helpful to monitor geographical areas over time. A satellite image time series (SITS) usually contains spatio-temporal phenomena that are complex and difficult to understand. Conc...

  • Open Access English
    Authors: 
    Verger, E.O.; Perignon, M.; El Ati, J.; Darmmon, N.; Dop, M.C.; Drogué, S.; Dury, S.; Gaillard, C.; Sinfort, C.; Amiot M.J.;

    Mediterranean countries are undergoing dietary and nutritional changes that affect their inhabitants' health, while facing massive environmental challenges. The increasing demand of water in agriculture, the capacity to maintain local food production, and the growing de...