@article{M. Ali_H. Ali_Hamid_2017, title={Study of High Spot Lands in Irrigated Scheme Using Remote Sensing Data and GIS.}, volume={5}, url={https://journals.scholarpublishing.org/index.php/AIVP/article/view/4150}, DOI={10.14738/aivp.55.4150}, abstractNote={<p><strong> </strong>The study was carried out in selected sites that cover 1989.8 ha (4735.86 Feddans) in the Rahad Irrigatated Scheme, Gazera State, Sudan. The main objective was to identify the spatial distribution ofHigh Spot Lands that are created by management practices and study their physiognomies at Rahad Scheme using space technologies. Data from Landsat TM and ETM sensors with different spatial resolution (15 and 30m) and temporal resolution (1987, 2000, 2005 and 2013) was utilized to conduct land cover analysis in relation to farming patterns, irrigation system and residential areas. Satellite elevation data from STRM combined with Landsat ETM data and high resolution data from Google Earth were compiled to study the high spots and accumulated soils in relation to the topography of the study area. The GPS was used in the field investigations to delineate the study area and to identify the sites of the high spots and in locating the soil sampling sites. The results of Landsat and DEM analysis showed that a considerable amount of high spots exist within the study area and throughout the northern part of the farmland of the scheme. It was evident that the topography of the land was adequately considered during the initial irrigation system designs in 1987, but consequently little care was given to the levelling of the farming land during different tillage operations. The study concluded that data from Landsat, STRM, ASTER and high resolution data from Google Earth could be used to detect and identify fairly high spot Lands at Farm level and hence contribute to improve management.</p><p> </p><p><strong> </strong></p><p> </p>}, number={5}, journal={European Journal of Applied Sciences}, author={M. Ali, El Abbas Doka and H. Ali, Marwa E. and Hamid, Amna A.}, year={2017}, month={Oct.}, pages={11} }