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Suitability assessment and mapping of Oyo State, Nigeria, for rice cultivation using GIS

机译：使用GIS的尼日利亚奥约州水稻种植适宜性评估和制图

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摘要

Rice is one of the most preferred food crops in Nigeria. However, local rice production has declined with the oil boom of the 1970s causing demand to outstrip supply. Rice production can be increased through the integration of Geographic Information Systems (GIS) and crop-land suitability analysis and mapping. Based on the key predictor variables that determine rice yield mentioned in relevant literature, data on rainfall, temperature, relative humidity, slope, and soil of Oyo state were obtained. To develop rice suitability maps for the state, two MCE-GIS techniques, namely the Overlay approach and weighted linear combination (WLC), using fuzzy AHP were used and compared. A Boolean land use map derived from a landsat imagery was used in masking out areas currently unavailable for rice production. Both suitability maps were classified into four categories of very suitable, suitable, moderate, and fairly moderate. Although the maps differ slightly, the overlay and WLC (AHP) approach found most parts of Oyo state (51.79 and 82.9 % respectively) to be moderately suitable for rice production. However, in areas like Eruwa, Oyo, and Shaki, rainfall amount received needs to be supplemented by irrigation for increased rice yield.
机译：稻米是尼日利亚最受欢迎的粮食作物之一。但是，随着1970年代石油的繁荣，当地大米的产量下降，导致需求超过供应。可以通过整合地理信息系统（GIS）以及耕地适宜性分析和制图来提高水稻产量。基于相关文献中确定稻米产量的关键预测变量，获得了有关奥约州降雨，温度，相对湿度，坡度和土壤的数据。为了开发水稻适合该州的地图，使用了两种MCE-GIS技术，即使用模糊AHP的重叠法和加权线性组合（WLC），并进行了比较。从landsat影像中获得的布尔土地使用图被用于掩盖当前无法用于水稻生产的区域。两种适合度图都分为非常合适，合适，中等和相当中等四个类别。尽管地图略有不同，但使用叠加法和WLC（AHP）方法发现，奥约州的大部分地区（分别为51.79％和82.9％）适度适合稻谷生产。但是，在Eruwa，Oyo和Shaki等地区，需要通过灌溉来补充雨量，以增加稻米的产量。

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