Irrigation Potential Evaluation and Crop Suitability Analysis Using Gis and Remote Sensing Technique in Beles Sub Basin, Beneshangul Gumez Region

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Date

2007-03

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Addis Ababa Universty

Abstract

The study aims at evaluation of land use suitability for surface irrigation by using GIS. The evaluation of land in terms of the suitability classes was based on the method as described in FAO guideline for land evaluation. Multi-criteria decision evaluation method was used to evaluate the physical land characteristics of the study area for surface irrigation. There are techniques, which were used to weight and standardized the factors, which are used to evaluate the land in the study area. These include pairwise combination and weighted linear combination. The factors that were considered for evaluation of the land for surface irrigation is slope, soil drainage, soil texture, soil depth, soil type and land use. After evaluating the physical land capability for surface irrigation, irrigation suitability map was developed. This map was classified in to five suitability classes based on FAO guideline. The result that obtained are 41,650 ha (26.9%) very suitable, 24,100 ha (15.6%) suitable, 44,350 ha (28.7%) marginally suitable, 11,000ha (7.3%) marginally not suitable and 33, 2500ha (21.5%) permanently not suitable. The land in the study area was evaluated for suitability of crops. Temperature and rainfall amount of the study area were the factors in addition to the factors mentioned above used for surface irrigation evaluation. Maize and Cotton were selected to evaluate the land of the Beles sub Basin. Suitability maps for both maize and cotton were developed. The suitability crops maps were classified in to five suitability classes. Regarding maize 12,450ha (8.2%) very suitable, 23,140ha (14.9%) suitable, 54,600ha (35.3%) marginally suitable, 16,200ha (10.6%) marginally not suitable and 46,130ha (30.4%) permanently not suitable of the total Beles Sub basin. Suitability classes for Cotton were16, 150ha (10.7%) very suitable, 22,540ha (15.1%) suitable, 49,020ha (32.6%) marginally, 17,200ha (11.5%) marginally not suitable and 46,130ha (30.1%) permanently not suitable

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Gis and Remote

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