Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID â–² Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-601 PEER REVIEWED ARTICLE 2012 Boulet G., Albert Olioso; Eric Ceschia; Olivier Marloie; Benoît Coudert; Vincent Rivalland; Jonas Chirouze; Ghani Chehbouni, An empirical expression to relate aerodynamic and surface temperatures for use within single-source energy balance models 10.1016/j.agrformet.2012.03.008 Simulation & Modeling River Basins No abstract available 262902
publications-602 PEER REVIEWED ARTICLE 2012 Delogu E., Gilles Boulet; A. Olioso; B. Coudert; Jonas Chirouze; Eric Ceschia; V. Le Dantec; O. Marloie; G. Chehbouni; J.-P. Lagouarde Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass 10.5194/hess-16-2995-2012 Simulation & Modeling River Basins Abstract. Evapotranspiration estimates can be derived from remote sensing data and ancillary, mostly meterorological, information. For this purpose, two types of methods are classically used: the first type estimates a potential evapotranspiration rate from vegetation indices, and adjusts this rate according to water availability derived from either a surface temperature index or a first guess obtained from a rough estimate of the water budget, while the second family of methods relies on the link between the surface temperature and the latent heat flux through the surface energy budget. The latter provides an instantaneous estimate at the time of satellite overpass. In order to compute daily evapotranspiration, one needs an extrapolation algorithm. Since no image is acquired during cloudy conditions, these methods can only be applied during clear sky days. In order to derive seasonal evapotranspiration, one needs an interpolation method. Two combined interpolation/extrapolation methods based on the self preservation of evaporative fraction and the stress factor are compared to reconstruct seasonal evapotranspiration from instantaneous measurements acquired in clear sky conditions. Those measurements are taken from instantaneous latent heat flux from 11 datasets in Southern France and Morocco. Results show that both methods have comparable performances with a clear advantage for the evaporative fraction for datasets with several water stress events. Both interpolation algorithms tend to underestimate evapotranspiration due to the energy limiting conditions that prevail during cloudy days. Taking into account the diurnal variations of the evaporative fraction according to an empirical relationship derived from a previous study improved the performance of the extrapolation algorithm and therefore the retrieval of the seasonal evapotranspiration for all but one datasets. 262902
publications-603 Simonneaux V., Le Page M, Duchemin B., Kharrou H., Berjamy B., Chehbouni G., Zribi M., Boulet G., Mougenot B.,Lilli-Chabaane Z., Bahir M., SAMIR, un outil pour la gestion de l’irrigation utilisant la télédétection pour estimer l’évapotranspiration Simulation & Modeling Wastewater Treatment Plants No abstract available 262902
publications-604 Simonneaux V., Le Page M., Cherif R.., Rivalland V., Gascoin S., Duchemin B., Kharrou H., Dedieu G., Hagolle O., Chehbouni G. Evapotranspiration estimates of agricultural areas using high resolution NDVI time series and a dual crop coefficient method (FAO-56) Simulation & Modeling Uncategorized No abstract available 262902
publications-605 2011 Inglada J., Hagolle O., Dedieu G. Analysis of multi-temporal low and high spatial resolution time series fusion for improved land cover map production 10.1109/multi-temp.2011.6005052 Data Management & Analytics Wastewater Treatment Plants No abstract available 262902
publications-606 2012 Yin, T., Inglada, J., Osman, J. Time series image fusion: Application and improvement of STARFM for land cover map and production 10.1109/igarss.2012.6351559 Simulation & Modeling Water Distribution Networks No abstract available 262902
publications-607 Cherif R., Simonneaux V., Rivalland S., Gascoin M., Le Page M., Ceschia E Distributed modelling of evapotranspiration using high-resolution NDVI maps over cropland in South-West France. Data Management & Analytics Water Distribution Networks No abstract available 262902
publications-608 Violeta Florian Social Mechanisms of Irrigation Systems Simulation & Modeling Wastewater Treatment Plants No abstract available 262902
publications-609 Elisabeta Roşu Weather Factors and the Need of Irrigation. Case Study – Brăila County Simulation & Modeling Wastewater Treatment Plants No abstract available 262902
publications-610 Monica Tudor The farmers vs. the irrigation system usage in Braila. An economic point of view Data Management & Analytics Water Reuse No abstract available 262902