基于遥感和GIS的多准则决策(MCE)技术在水稻生长选址中的应用

Faizan Mahmood, M. Saifullah, M. Zafar, Shazma Saman, Sumira Yasmeen, Awais Karamat, Syed Usman Tanveer
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引用次数: 1

摘要

水稻是巴基斯坦种植的主要作物之一。它被认为是巴基斯坦经济的支柱。巴基斯坦几乎所有的农村人口都参与了水稻从发芽到最终收获的准备工作。虽然它对巴基斯坦国内生产总值(GDP)的贡献较小,但正在努力提高其生产力。巴基斯坦旁遮普的土地生产出口质量的大米,在世界各地都很有名。水稻作物生长促进参数被认为是实现高产的必要条件,如温度、湿度、压力、土壤pH、土壤类型、排水和电导率。我们使用多准则决策分析来绘制温度基和土壤基水稻友好区。结果表明:调查总面积为3151km2,其中高度适宜种植面积为2075 km2,中度适宜种植面积为772 km2,不适宜种植面积为303 km2。经实地验证,发现不适宜种植水稻的地区实际上是城市地区。由于人为活动和化石燃料排放,城市地区气温较高。遥感和地理信息系统技术在绘制水稻适宜区方面证明是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Potential Sites for Rice Plant Growth using Multi Criteria Decision (MCE) Technique Through Remote Sensing and GIS
Rice is one of major corps grown in Pakistan. It is considered as the backbone of Pakistan’s economy. Almost all the rural population of Pakistan is involved in rice preparation from its germination to final harvest. Although its contribution is less in Gross Domestic Product (GDP) of Pakistan, however efforts are on the way to enhance its productivity. The land of Punjab Pakistan produces rice of export quality which is famous throughout the world. Rice crop growth promoting parameters are considered essential to achieve high yield e.g., temperature, humidity, pressure, soil pH, soil type, drainage and electric conductivity. We used Multi-Criteria decision analysis to map temperature base and soil-based rice friendly zones. The results show that the total area under investigation was 3151km2, out of which 2075 km2 was observed highly suitable, 772 km2 was moderately suitable and 303 km2 was not suitable for rice cultivation. On ground validation, it was observed that the areas which were not suitable for rice cultivation, were actually urban area. The urban areas had high temperatures due to anthropogenic activities and fossil fuel emissions. Remote sensing and GIS techniques proved efficient in mapping the suitability zones for rice crop.
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