MODELING CEREALS WATER PRODUCTIVITY BY REMOTE SENSING IN LEBNA BASIN, TUNISIA
Chakroun, Hedia ， Bouhlel, Sara ， Belhaj, Amal ， Chehata, Nesrine
2022-01-01 null null null(卷), null(期), (null页)
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The improvement of crops water productivity WP is becoming a necessity under increasingly scarce water resources, particularly in arid regions. This study focuses on the contribution of remote sensing in the assessment of the cereals WP in northern Tunisia. WATPRO model was used with time series of LANDSAT-8 and SENTINEL-2 images to evaluate WP over the Lebna basin in 2015-2016. Results give WP in cereals plots between 0.4 and 0.5 Kg/m3. The WP of cereals over Lebna basin was achieved by the extraction of cereals from a landcover map obtained with SVM classification of a SENTINEL-2 time-serie. Spatial analysis shows that 57% of the cereals in Lebna basin have a medium to high WP. SENTINEL- 2 give 5% more cereal areas with higher WP compared to LANDSAT-8.
