首页> 外文期刊>The Asian and Australasian Journal of Plant Science and Biotechnology >Using Geographical Information System and Remote Sensing to Assess Suitability of Wheat Fields Affected by Climatic and Topographic Factors: A Case Study in Golestan Province, Iran
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Using Geographical Information System and Remote Sensing to Assess Suitability of Wheat Fields Affected by Climatic and Topographic Factors: A Case Study in Golestan Province, Iran

机译:利用地理信息系统和遥感评估受气候和地形因素影响的麦田的适宜性:以伊朗Golestan省为例

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In this study remote sensing (RS) and Geographical Information System (GIS) were integrated to detect cultivated wheat fields and to identify the suitability of those fields with respect to topographic and climatic factors affecting wheat yield. For this purpose, all raster layers related to climatic and topographic factors were provided by using different spatial functions and cultivated wheat fields were detected by a supervised detection method. Five different scenarios were considered to assess the consistency of wheat fields with suitable conditions. Among the five scenarios, fields with a slope < 12%, and > 24°C (irrespective of rainfall value and aspect) covered 90.5% of all detected fields. 74.2% of current wheat fields were located in theNorth, and the study area did not have suitable conditions with respect to average temperature, but had a suitable slope and minimum and maximum temperatures. The temperature of the study area was in the range of cardinal temperatures for all common wheat cultivars cultivated in Golestan province. The area was not affected by salinity or pH restrictions and although 87.4% of fields had yield exceeding long-term recorded data, the absolute yield in the wheat fields was not high. Our results indicate thatwheat grain yield in the study area changed from 1.6 to 4.4 ton ha~(-1). Long-term average yield of wheat in this area is 3.5 ton ha~(-1). Results revealed that integrating RS and GIS can help to identify field restrictions and to assess the problems and probable opportunities to improve obtainable yield and estimate the yield of wheat fields.
机译:在这项研究中,将遥感(RS)和地理信息系统(GIS)集成在一起,以检测耕作的麦田,并就影响小麦产量的地形和气候因素确定这些田地的适用性。为此,通过使用不同的空间功能提供了与气候和地形因素有关的所有栅格图层,并通过监督检测方法对耕种的麦田进行了检测。考虑了五种不同的情况,以评估在合适条件下麦田的一致性。在这五个场景中,坡度<12%和> 24°C(与降雨值和坡向无关)的田地覆盖了所有检测到的田地的90.5%。目前有74.2%的麦田位于北部,研究区域在平均温度方面没有合适的条件,但具有合适的斜率以及最低和最高温度。研究区域的温度在Golestan省种植的所有普通小麦品种的基本温度范围内。该地区不受盐分或pH限制的影响,尽管87.4%的田地的产量超过长期记录的数据,但麦田的绝对产量并不高。我们的研究结果表明,研究区域的小麦籽粒产量从1.6吨ha〜(-1)变化。该地区小麦的长期平均单产为3.5吨ha〜(-1)。结果表明,将RS和GIS集成可以帮助确定田间限制,并评估存在的问题和可能的机会,以提高可获得的产量并估算麦田的产量。

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