USING SATELLITE REMOTE SENSING DATA TO SUPPORT WATER MANAGEMENT IN ARID AND SIMI-ARID AREA | ||||
| Misr Journal of Agricultural Engineering | ||||
| Article 17, Volume 29, Issue 2, April 2012, Page 789-798 PDF (584.95 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjae.2012.102349 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| O. M. Mohamed1; A. M. El-Gindy2; Y. A. Arafa2; M. S. Abd-Elwahed3 | ||||
| 1Post-Graduate student Agric. Engneering. Dept., Faculty of Agric., Ain Shams Univ., Egypt. | ||||
| 2Agric. Engineering. Dept., Faculty of Agric., Ain Shams Univ., Egypt. | ||||
| 3Soil Sc. Dept., Faculty of Agric., Ain Shams Univ., Egypt. | ||||
| Abstract | ||||
| Remote sensing techniques are becoming powerful tools for efficient management of irrigation systems in large irrigated areas. Crop water requirements are usually denoted by the actual crop evapotranspiration. Estimation of crop evapotranspiration (ETc) using remote sensing data is needed for water management in arid and semiarid regions. This study attempts to link the satellite image data to estimate the temporal crop evapotranspiration using Landsat Thematic Mapper TM and Système Pour l'Observation de la Terre (SPOT4) satellite images. The satellite images geometrically and radio metrically corrected and were used to drive the Normalized Difference Vegetation Index NDVI. This research study showed that how remote sensing data can be integrated in FAO dual approach for mapping water use (ETc) of wheat crop in semi-arid region. The method consists of linking the main crop biophysical parameters (basal crop coefficient, cover fraction) to the (NDVI). | ||||
| Keywords | ||||
| Remote sensing; ET; Water management; vegetation indices | ||||
| References | ||||
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