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Remote Sensing and GIS Application for Agricultural Land Quality Assessment of Yulin Prefecture

机译:遥感和GIS技术在榆林地区农业土地质量评价中的应用

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For optimum utiLization of available agricultural land resources on a sustainable basis, timely and reLiable information regarding their nature, extent and spatial distribution along with their potential and Limitations is very important. The efficiency and accuracy of data are improved when remote sensing data products and GIS are used. This study aims at overcoming the difficulty of contributing factors cannot be accurately quantified by using information objectively derivable from remote sensing images. This approach yield a comprehensive agricultural land quaLity (ALQ) assessment using indicators Like slope gradient, proportion of sandy land, water availabiLity, soil fertiLity, and land use types organized into three indices of pressure resistance, land state, and land use response. And this assessment takes account of topographic setting, land degradation risk, moisture, vegetation growing condition, and land use response of farmers. The assessment results demonstrate that the ALQ value is generally low for the whole YuLin prefecture. Two-thirds of the agricultural lands face a serious land degradation risk. As water availabiLity is a decisive factor influencing land productivity, ALQ is significantly correlated with the spatial distribution of water resources. Such assessment outcomes are essential for the prevention of land degradation and adjustment of agricultural structure to promote sustainable use of agricultural land.
机译:为了在可持续的基础上优化可用农业土地资源,关于其性质,范围和空间分布及其潜力和局限性的及时可靠信息非常重要。使用遥感数据产品和GIS可以提高数据的效率和准确性。这项研究旨在克服使用客观上可从遥感影像得出的信息来准确量化影响因素的困难。该方法使用坡度,沙地比例,水利用度,土壤肥力和土地利用类型等指标,将有机农业土地质量(ALQ)评估综合为抗压性,土地状态和土地利用响应这三个指标。并且该评估考虑了地形设置,土地退化风险,湿度,植被生长状况以及农民的土地使用响应。评估结果表明,整个榆林县的ALQ值通常较低。三分之二的农业用地面临着严重的土地退化风险。由于水的利用率是影响土地生产力的决定性因素,ALQ与水资源的空间分布显着相关。这种评估结果对于防止土地退化和调整农业结构以促进农业土地的可持续利用至关重要。

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