人工灌溉土壤碳酸化过程研究中复杂地球遥感数据处理方法的实现

D. V. Filippov, I. N. Chursin, D. D. Rulev, A. D. Boyarenkova
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引用次数: 0

摘要

本文以地球遥感资料为基础,对农业用地碳酸化过程进行了系统研究。该研究是在伏尔加格勒地区Svetloyarsk灌溉系统的领土上进行的。本文研究了一套对多光谱空间测量数据和野外结果进行复杂数字处理的方法。总结了碳化土地解密特征的资料,利用散点图建立了像元光谱亮度与土地碳化程度的关系。确定了采集野外数据进行复杂处理的方法以及高分辨率卫星图像。根据土壤的碳酸化程度对试验地块进行识别,并在制图方案上进行图形显示。碳化农用地像元显示识别区域的可靠性为75%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of complex methods of earth’s remote sensing data processing for studying carbonation processes of soils with artificial irrigation
The article represents methodical researh of carbonation processes of agricultural lands based on Earth’s remote sensing data. The research is carried out on the territory of Svetloyarsk irrigationsystem located in Volgograd region. The article considered a set of methodical approaches for complex digital processing of multispectral space survey data and field results. The material on the deciphering features of carbonized lands is generalized and the relationship between the spectral brightness of pixels and the level of carbonation in the fields is established using scatter diagrams. Methods for collecting field data for complex processing together with high-resolution satellite images are determined. The test plots of soils are identified by the level of carbonation with their graphical display on cartographic schemes. The reliability of identifying zones of pixel display of carbonated agricultural lands was determined at the level of 75 %.
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