红外测量数据对耕地土壤性质检测的信息价值

P. G. Grubina, I. Savin
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引用次数: 0

摘要

在俄罗斯图拉州亚斯诺戈尔斯基区试验区研究了利用热测量数据探测土壤肥力参数的可能性。试验区位于坡面平坦部分的灰色森林微侵蚀耕地土壤。在野外工作中,使用FLIR VUE 512热成像仪拍摄了开阔的土壤表面(范围7.5-13.5 mkm),并在0-5 cm层采集了土壤样品,在15-20 cm层测量了土壤水分。土壤肥力的几乎所有参数(pH、腐殖质含量、钾含量、交换阳离子- Mg++、K+、Na+)在光谱热范围内均与调查数据具有显著的统计学相关性(r =0.4 ~ 0.7)。对于中等相关性,编制了多项式回归方程。在研究的肥力参数中,盐浸液pH、氧化钾含量和钾交换阳离子含量在光谱热范围内具有显著的决定系数(R2 0.60),分别为R2= 0.61、R2= 0.60和R2= 0.63。结果表明,利用热成像技术可以绘制该地区土壤肥力的一些参数。然而,在热测量数据的基础上,不可能可靠地检测出试验田土壤肥力的所有主要参数。而热土壤测量数据在可见光和近红外拍摄时可以作为辅助数据,有助于提高非接触式土壤监测的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Informative value of infrared survey data for detecting properties of arable soils
Possibility of detecting soil fertility parameters based on the use of thermal survey data was studied on the test area of Yasnogorsky District, Tula region, Russia. The test area has gray forest slightly eroded arable soils located in the flat part of the slope. During the field works, an open soil surface was photographed using a FLIR VUE 512 thermal imager (range 7.5-13.5 mkm), soil samples were also taken from a layer of 0-5 cm and soil moisture was measured in a layer of 15-20 cm. For almost all parameters of soil fertility (pH, humus content, potassium content, exchange cations - Mg++, K+, Na+), a statistically significant correlation was established (r =0.4-0.7) between them and the survey data in the thermal range of the spectrum. For moderate correlations, polynomial regression equations were compiled. Among the studied fertility parameters, the pH of the salt extract, the content of potassium oxide and potassium exchange cations had significant coefficient of determination (R2 0.60) with the thermal range of the spectrum - R2= 0.61, R2 =0.60 and R2 = 0.63, respectively. The obtained results have shown that thermal imaging can be used to map some parameters of soil fertility for the region. Nevertheless, it turned out to be impossible to reliably detect all the main parameters of soil fertility of the test field on the basis of thermal survey data. However, the thermal soil survey data can be used as auxiliary data when shooting in the visible and nearIR ranges, which helps to improve the accuracy of contactless soil monitoring.
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