Gazzano, Olivier Ferrec, Yann Coudrain, Christophe Rousset-Rouviere, Laurent
SIELETERS est un système d’imagerie hyperspectrale aéroporté qui couvre les bandes de transmission atmosphérique de 3.0 à 11.8 micromètres. Ce système fait partie du projet SYSIPHE qui opère sur des longueurs d’onde comprises entre 0.4 et 11.8 micromètres. Le pas d’échantillonnage au sol de l’instrument SIELETERS est de 0.5 à 2000 m au-dessus du so...
Thoreau, R. Achard, Véronique Risser, L. Berthelot, B. Briottet, Xavier
Machine learning algorithms demonstrated promising results for hyperspectral semantic segmentation. However, they strongly rely on the quality of training datasets. As far as the annotation of hyperspectral images is often expensive and time-consuming, only a few thousand pixels can be labeled. In this context, active learning algorithms select the...
Liandrat, O. Roussel, G. Bedoya-Velasquez, A. Ceolato, R. Cautru, A. Decroix, J. Schmutz, N.
Telecommunication and remote sensing data exchanged between Earth and space has increased dramatically in recent years. Radio frequencies, the medium used for several decades has shown to reach its capacity. Free space optical communications, achieved with laser transmitter devices, is an alternative with better transmission rate and increased secu...
bazzi;, hassan
Better management of water consumption and irrigation schedule in irrigated agriculture is essential in order to save water resources, especially at regional scales and under changing climatic conditions. In the context of water management, the aim of this study is to monitor irrigation activities by detecting the irrigation episodes at plot scale ...
Angelliaume, Sébastien
L’imagerie radar est utilisée depuis plus de 40 ans pour l’observation de la Terre. Elle permet l’acquisition de données à haute résolution spatiale, sur l’ensemble du globe, de jour comme de nuit et quasi indépendamment des conditions atmosphériques et météorologiques. Même si la réponse radar des surfaces océaniques est en général bien caractéris...
Han, Shan Wu, Lanlan Wang, Wenjie Li, Na Wu, Xiaoyan
Published in
Nutrients
Limited data were available on trends of US dietary nutrients especially for specific subgroups; Methods: Dietary intakes of energy and 36 kinds of nutrients were analyzed in the National Health and Nutrition Examination Survey (NHANES) from 2003 to 2016 and by age and sex, socioeconomic status, race/ethnicity, and body mass index, which were evalu...
Smith, Keisha Nayyar, Sanket Rana, Tanu Archibong, Anthony E Looney, Kimberly R Nayyar, Tultul
Published in
International journal of environmental research and public health
We reported previously that reduction in beta-arrestin 1 (β-AR 1) protein levels in peripheral blood mononuclear leukocytes (PBMC) significantly correlated with the severity of depressive symptoms in reproductive women. In this pilot study, we used β-AR 1 protein levels in PBMC as a marker for developing depressive symptoms and the Hamilton Depress...
Bazzi, Hassan Baghdadi, Nicolas Ienco, Dino Zribi, Mehrez Belhouchette, Hatem
The objective of this paper is to present an approach for mapping irrigated areas at plot scale using the Sentinel-1 radar time series. Over a study site located in Catalonia region of north Spain, a dense temporal series of Si backscattering coefficients were first obtained at plot scale and grid scale (10km x 10km). The S1 time series at plot and...
Bazzi, Hassan Baghdadi, Nicolas Ienco, Dino Zribi, Mehrez Belhouchette, Hatem
Irrigation plays a significant role in agricultural production in order to meet the global food requirement under changing climatic conditions. To fulfil the high demand of food with an ever-increasing global population, better planning of irrigation is required. Therefore, more focus is being set on the assessment of irrigation performance for imp...
bazzi;, hassan
In the context of monitoring and assessment of water consumption in the agricultural sector, the objective of this study is to build an operational approach capable of detecting irrigation events at plot scale in a near real-time scenario using Sentinel-1 (S1) data. The proposed approach is a decision tree-based method relying on the change detecti...