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Summary of Proposal LAN3169

TitleImpact of water stress on wheat yields using SAR polarimetric data
Investigator ABDELFATTAH, RIADH - Higher School of Communications of Tunis (SupCom), Applied Mathematics and Communication Systems (MASC)
Team Member
Assistant Professor BEN AISSA, Nadhira - Institut National Agronomique de Tunisie (INAT), Pedologie
Professor CHOKMANI, Karem - Institut National de Recherche Scientifique, Eau Terre et Environnement
SummaryCereals are the main sources of human and animal nutrition in the world. Drought is often the main factor affecting grain production in semi-arid to arid regions. It is manifested by water stress phenomenon. For the monitoring of water stress, several techniques are used; conventional tools (visual indicator, measured by the plant, measured by the ground..) and spatial tools (optical remote sensing ..). However, traditional monitoring tools remain limited performance in the case ofcereals, a culture that spans large areas where the need for a tooldeveloped telque spatial tools to overcome these limitations. However, optical remote sensing has limitations related to periods of image acquisition. Acquisitions required when the plant development coincided with cloudy and humid and in this case the optical remote sensing is not effective technique sowe use radar remote sensing. This is a reliable tool and provides mapping and monitoring of the ground surface whatever the weather and time conditions. In this context, the objectives of this study are based around the factthat radar polarimetry has strengths to detect the impact of waterstress on yield. The testing hypotheses below will show the contribution of radarimaging for the detection of the impact related to the lack of water in a crop such as grain yields. - Radar Polarimetry can be considered as a powerful tool to detect water stress from the biophysical parameters of the plant. Polarimetric crop response varies its water status, cover type, stage of growth and its spatial variability; - We will try to put crops in the same soil and climatic conditions in order to eliminate any variation other than water stress and try todetect water stress in each stage of development - A multi-temporal monitoring of the performance changes correlatedwith polarimetric data which allows us to quantify the correlation ofpolarimetric parameters with the response of grain. Two types of data will be used for field data and spatial data (Field data are already collect for both test sites since 2010). For polarimetric data, we will select data from Terrasar X archive for each phenological stage for each crop. Then we plan to establish a correlation between the polarimetric parameters and biophysical parameters.

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DLR 2004-2016