Combining Satellite Remote Sensing Data with the FAO-56 Dual Approach for Water Use Mapping In Irrigated Wheat Fields of a Semi-Arid Region

Remote Sensing

Salah Er-Raki¹  Abdelghani Chehbouni² 

[1] FSSM-Faculty of Sciences Semlalia, Cadi Ayyad University/IRD, Avenue Prince Moulay Abdellah, BP 2390 Marrakech 40000, Morocco;Centre d’Etudes Spatiales de la Biosphère, Université de Toulouse, CNRS, IRD, CNES, 18 Avenue. Edouard Belin, bpi 2801, 31401 Toulouse cedex 9, France; E-Mails:

关键词: evapotranspiration;    FAO-56;    Normalized Difference Vegetation Index (NDVI);    remote sensing;    semi-arid;   

DOI  :  10.3390/rs2010375

来源: mdpi

【 摘 要 】

The aim of this study was to combine the FAO-56 dual approach and remotely-sensed data for mapping water use (ET_c) in irrigated wheat crops of a semi-arid region. The method is based on the relationships established between Normalized Difference Vegetation Index (NDVI) and crop biophysical variables such as basal crop coefficient, cover fraction and soil evaporation. A time series of high spatial resolution SPOT and Landsat images acquired during the 2002/2003 agricultural season has been used to generate the profiles of NDVI in each pixel that have been related to crop biophysical parameters which were used in conjunction with FAO-56 dual source approach. The obtained results showed that the spatial distribution of seasonal ET_c varied between 200 and 450 mm depending to sowing date and the development of the vegetation. The validation of spatial results showed that the ET_c estimated by FAO-56 corresponded well with actual ET measured by eddy covariance system over test sites of wheat, especially when soil evaporation and plant water stress are not encountered.

【 授权许可】

CC BY   
© 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.