Saadi S. auteur aut IRD Simonneaux Vincent auteur aut IRD Boulet Gilles auteur aut IRD Mougenot Bernard auteur aut IRD Chabaane Z. L. auteur aut IRD text bookSection eng text/pdf born digital access The increasing availability of high resolution high repetitively VIS-NIR remote sensing, like the forthcoming Sentinel-2 mission to be launched in 2015, offers unprecedented opportunity to improve agricultural monitoring. In this study, regional evapotranspiration and crop water consumption were estimated over an irrigated area located in the Kairouan plain (central Tunisia) using the FAO-56 dual crop coefficient water balance model combined with NDVI image time series providing estimates of the actual basal crop coefficient (Kcb) and vegetation fraction cover. Three time series of high-resolution SPOT5 images have been acquired for the 2008-2009, 2011-2012 and 2012-2013 hydrological years. We also benefited from a SPOT4 time series acquired in the frame of the SPOT4-Take5 experiment. The SPOT5 images were radiometrically corrected, first, using the SMAC6s Algorithm, and then improved using invariant objects located on the scene. The method was first calibrated using ground measurements of evapotranspiration achieved using eddy-correlation devices installed on irrigated wheat and barley plots. For other crops for which no calibration data was available, parameters were taken from bibliography. Then, the model was run to spatialize irrigation over the whole area and a validation was done using cumulated seasonal water volumes obtained from ground survey for three irrigated perimeters. In a subsequent step, evapotranspiration estimates were obtained using a large aperture scintillometer and were used for an additional validation of the model outputs. specialized TUNISIE KAIROUAN ZONE SEMIARIDE 126 062 072 098 Neale C. M. U. ed. edt IRD Maltese A. ed. edt IRD 9637 art. no 963710 [15 en ligne] Bellingham SPIE 2015 Conference on Remote Sensing for Agriculture Ecosystems and Hydrology : part of the International Symposium on Remote Sensing, 17., Toulouse (FRA), 2015/09/22-24 9637 https://www.documentation.ird.fr/hor/fdi:010072192 10.1117/12.2195183 978-1-62841-847-7 [F B010072192] https://www.documentation.ird.fr/hor/fdi:010072192 https://www.documentation.ird.fr/intranet/publi/depot/2018-02-09/010072192.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2018-02-08 2018-05-16 fdi:010072192 fre