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

机译:榆林县农业土地质量评价的遥感与GIS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:为了获得可持续的农业土地资源,可持续利用可持续利用,及时可靠地了解其性质,程度和空间分布以及其潜在和局限性非常重要。当使用遥感数据产品和GIS时,数据的效率和准确性得到了改善。本研究旨在克服贡献因素的难度无法通过使用从遥感图像的客观衍生的信息来准确地量化。这种方法产生了全面的农业土地质量(ALQ)评估,使用坡梯度,砂土,水可用性,土壤肥力和土地利用类型组织成三个耐压,土地和土地利用反应的指标。该评估考虑了地形设置,土地退化风险,植被生长条件和农民的土地利用反应。评估结果表明,对于整个榆林县的ALQ值通常为低。三分之二的农业土地面临着严重的土地退化风险。随着水可用性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。此类评估结果对于预防土地退化和农业结构调整至关重要,以促进农业土地的可持续利用。

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