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GIS-Based Assessment of Land Suitability for Industrial Crops (Cotton, Sesame and Groundnut) in the Abyan Delta, Yemen

2015; Volume: 8; Issue: 6 Linguagem: Inglês

10.9734/ajea/2015/16572

2231-0606

Mohammd Al-Mashreki, Khader B. Atroosh, Abdullah Muflahi, Nashwan Obaid, King Caoline,

Groundwater and Watershed Analysis

We investigated the potential and capability of GIS as a technique for integrating spatial and biophysical attribute data to p roduce land suitability maps of the main industrial irrigated cropland (cotton, groundnut, and sesame) cultivated in the Abyan, Yemen Delta, In order to improve decision maker strategies. We collected 64 soil samples in a systematic, georeferenced soil sur vey. Spatial overlay of detailed soil site characteristics, physical site qualities, and crop specific requirements was performed to reveal areas suitable for crop production. Our results of the land suitability classification for cotton, sesame and ground nut indicated that the highly suitable class (S1) accounts 22.2%, 22.6% and 22.8%, while moderately suitable (S2) constitutes 36.7%, 37.2% and 37.4% and the marginally