耕地质量监测渐变分布范围确定方法研究

开展耕地质量监测,对全面掌握耕地质量动态变化,实现耕地数量质量并重管理具有重要意义,而如何合理确定耕地质量监测渐变分布范围是当前土地工作者的一个难点。文章以扶绥县为例,将时序比较法引入耕地质量监测渐变分布范围的确定,通过对一定时间段的耕地质量分等因素变化进行对比分析,找出引起耕地质量等别渐变的主导因素分布范围作为监测渐变分布范围,并与组合类型法比较,分析两种方法优劣,以期为优化监测渐变分布范围确定提供参考。研究结果表明:将时序比较法引入监测渐变分布范围确定,得到了精度较高的监测渐变分布范围。该方法较组合类型法在监测渐变分布范围确定上采用了Kriging插值技术,提高了确定监测渐变分布范围的精度,工作效率较高,具有一定的先进性,但该方法对数据源要求较高,需有一定时段的数据源;组合类型法应用范围广,不受数据源限制,但在确定监测分布范围上有一定的模糊性,需进行大量的实地核实工作才能最终确定分布范围,增加了人为工作量。因此,在实际工作过程中,可综合两种方法的优缺点,根据实际情况选择合适的监测分布范围确定方法。

GRADIENT DISTRIBUTION OF CULTIVATED LAND QUALITY MONITORING

Cultivated land quality monitoring is of great significance to fully grasp the dynamic changes of cultivated land quality and realize the quantity and quality management of cultivated land. How to reasonably determine the quality monitoring gradient distribution of cultivated land has become a problem. Taking Fusui county as an example, the paper introduced sequence comparison method to determine the cultivated land quality monitoring gradient distribution. The method compared and analyzed the factor change of cultivated land quality classification in a certain period, and found the distribution of the dominant factor of the cultivated land quality. The results showed: the method to determine the monitoring gradient distribution range promoted the precision of the distribution range. Compared to the combination type method, the method which used the Kriging interpolation technology improved the monitoring accuracy of gradient distribution range and work efficiency. However, the method needed higher data source. The combination type method could be used more widely and had less restriction of data source, which needed a large number of field verification to determine the distribution range. Therefore, the two methods can be integrated to determine the scope of monitoring the distribution according to the actual situation.