考虑其表面状态的农业土壤重要农学性质的卫星评价

Q4 Agricultural and Biological Sciences Biulleten'' Pochvennogo instituta im VV Dokuchaeva Pub Date : 2023-08-04 DOI:10.19047/0136-1694-2023-115-129-159
E. Prudnikova, I. Savin, P. G. Grubina
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引用次数: 0

摘要

长期以来,卫星数据一直被用于评估耕地土壤的各种性质。与此同时,由于许多重要的农艺学土壤性质并不直接影响其表面的光谱反射率,这使得对这些性质的远程评估变得复杂,因此存在一定的困难。此外,为了获得可复制的模型,在调查过程中需要考虑露天土表面的状态。该研究的目的是展示一种基于Landsat 8-9 OLI卫星数据检测耕地土壤农学重要特性的方法,并以莫斯科地区Serebryano-Prudsky地区的试验田为例,包括有关其开放表面状态的信息。根据土壤性质的不同,基于Landsat 8-9 OLI卫星数据建立的模型的R2cv在0.57 ~ 0.91之间变化。以R2cv>0.8为最佳模型,对有机质、钙镁阳离子交换性含量、总氮含量、水浸液pH、盐浸液pH等与有机质交换性密切相关的性状进行了分析。对大多数性质的可耕种土壤开放表面状态的信息的参与,使得无论调查期间如何,都有可能获得更高质量和预测能力的模型。基于所获得的模型,构建了耕地土壤重要农艺学性质的空间变化图,作为该方法演示的一部分。所建立的模型可用于对试验田耕地土壤特性的远程监测。与此同时,对于交换性钾和磷化合物的含量等特性,有必要寻找考虑到其高度可变性的方法,并对开放土壤表面未发生变化的调查期间的信息性进行事先评估。
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Satellite based assessment of agronomically important properties of agricultural soils with consideration of their surface state
Satellite data have been used for a long time to assess various properties of arable soils. At the same time, there are certain difficulties associated with the fact that a number of agronomically important soil properties do not directly affect spectral reflectance of their surface, which complicates the remote assessment of such properties. In addition, to obtain reproducible models, it is necessary to take into account the state of the open soil surface during the survey. The aim of the study was to demonstrate a method for detecting agronomically important properties of arable soils based on Landsat 8-9 OLI satellite data and including information about the state of their open surface using the example of a test field in the Serebryano-Prudsky district of the Moscow region. Depending on the soil property, R2cv of the models developed based on Landsat 8-9 OLI satellite data varied from 0.57 to 0.91. The best models with R2cv>0.8 were obtained for organic matter and properties higly correlated with it such as the content of exchangeable calcium and magnesium cations, the content of total nitrogen, pH of water and salt extracts. The involvement of information on the state of the open surface of arable soils for most properties made it possible to obtain models of higher quality and predictive ability, regardless of the survey period. Based on the models obtained, maps of the spatial variation of agronomically important properties of arable soils were constructed as part of the demonstration of the method. The resulting models can be used for remote monitoring of the analyzed properties of arable soils of the test field. At the same time, for such properties as the content of exchangeable potassium and phosphorus compounds, it is necessary to search for the approaches that will take into account their high variability, as well as to perform a prior assessment of the informativity of the survey periods in which the open soil surface is not transformed.
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
15
审稿时长
8 weeks
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