利用GITs检测巴基斯坦小麦免耕适宜土壤

F. Iqbal, M. Mehdi
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引用次数: 13

摘要

特定地点的耕作需要更好地了解土壤模式的可变性。所有类型的土壤都不适合水稻收获后免耕小麦栽培。淤泥质粘壤土或质地较轻、排水良好、无盐渍的普通土壤最适合免耕小麦栽培。适度适合的土壤是粘土/粉质粘土或粉质粘土壤土和较轻的排水问题。不适宜的土壤含盐量大,排水能力差。然而,巴基斯坦正在各种土壤上推广免耕,部分原因是没有数据可以区分适合和不适合的土壤。本文研究了巴基斯坦古格兰瓦拉灌溉土壤中适合免耕小麦种植的土壤。这些分析是基于遥感和使用地理信息系统(GIS)的实地数据。我们已经研究了不同的遥感指数是如何为易含盐量高的土地划定工作的。这项研究提出了评估盐度的新指标。我们分析了这几个指标,植被指数、水指数也作为并发指标进行了分析,特别是第四光谱波段接收的信号与热红外的比值给出了更准确的结果。利用二次源采集的土壤质地、容重(BD)和地下水水质数据,将野外测量数据插值到地表并转换为三类,并利用Arc GIS的过度分析能力对所有参数进行整合,最终编制地图。
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Detection of suitable soils for Zero-Till Wheat Cultivation in Pakistan using GITs
Site specific farming requires better understanding of variability of soil patterns. All types of soils are not suitable for zero-till wheat cultivation after rice harvesting. The normal soils with silt clay loam or lighter soil texture, well drained and with no salinity are the best suited for zero-till wheat cultivation. Moderately suitable soils are clay/silty clay or silty clay loam and lighter with drainage problem. And the unsuitable soils are saline and poorly drained with hard pan. Yet, zero-tillage is being promoted on all kinds of soils in Pakistan partly because no data are available which delineate unsuitable soils from those which are suitable. This research deals with the delineation of suitable soils for zero-till wheat cultivation in irrigated soils of Gujranwala, Pakistan. The analyses are based on remote sensing and field data using a geographical information system (GIS). We have examined how different remote sensing indices work for salinity prone lands delineation. The study has suggested new indices for assessing salinity. We have analyzed the several indices, vegetation indices, water Indices were also analyzed as concurrent indicators, especially the ratio of the signals received in the forth spectral band to thermal IR give more accurate results. Soil texture, bulk density (BD) and ground water quality data were gathered from secondary sources field measurements were interpolated to surfaces and converted in to three classes and overly analysis capability of Arc GIS were used to integrate all parameters for final map preparation.
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