Saadi S., Simonneaux Vincent, Boulet Gilles, Mougenot Bernard, Chabaane Z. L. (2015). Monitoring irrigation volumes using high resolution NDVI image time series : calibration and validation in the Kairouan plain. In :
Neale C. M. U. (ed.), Maltese A. (ed.). Remote sensing for agriculture, ecosystems, and hydrology XVII. Bellingham : SPIE, art. no 963710 [15 p. en ligne]. (Proceedings of SPIE : the International Society for Optical Engineering ; 9637). Conference on Remote Sensing for Agriculture Ecosystems and Hydrology : part of the International Symposium on Remote Sensing, 17., Toulouse (FRA), 2015/09/22-24. ISBN 978-1-62841-847-7.
Titre du document
Monitoring irrigation volumes using high resolution NDVI image time series : calibration and validation in the Kairouan plain
Année de publication
2015
Auteurs
Saadi S., Simonneaux Vincent, Boulet Gilles, Mougenot Bernard, Chabaane Z. L.
In
Neale C. M. U. (ed.), Maltese A. (ed.), Remote sensing for agriculture, ecosystems, and hydrology XVII
Source
Bellingham : SPIE, 2015,
art. no 963710 [15 p. en ligne] (Proceedings of SPIE : the International Society for Optical Engineering ; 9637). ISBN 978-1-62841-847-7
Colloque
Conference on Remote Sensing for Agriculture Ecosystems and Hydrology : part of the International Symposium on Remote Sensing, 17., Toulouse (FRA), 2015/09/22-24
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.
Plan de classement
Hydrologie [062]
;
Bioclimatologie [072]
;
Economie et sociologie rurale [098]
;
Télédétection [126]
Localisation
Fonds IRD [F B010072192]
Identifiant IRD
fdi:010072192
