Quantitative assessment of crop residues in no-till technology according to remote sensing data and field soil cover survey

Q4 Agricultural and Biological Sciences Biulleten'' Pochvennogo instituta im VV Dokuchaeva Pub Date : 2022-11-25 DOI:10.19047/0136-1694-2022-112-134-159
N. Ermolaev, S. Yudin, V. Belobrov, V. K. Drediger, R. Gadzhiumarov
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Abstract

The key feature of the no-till technology is the preservation of crop residues on the soil surface. Crop residues quantitative assessment is an important task when introducing technology into production. On the basis of field and remote sensing data, different approaches to this assessment are considered. The research was carried out in the Budennovsky district of the Stavropol Territory in the fields of farms using both traditional technology (TT) and no-till (ПП). Images of the Sentinel-2 system were used as remote sensing data, on the basis of which the spectral indices NDTI and NDVI were calculated. Three methods were used to estimate the projective cover by plant residues: 1) weight accounting of plant residues per unit area; 2) field determination of the projective cover by the method of line transects; 3) desk analysis of photographs of the soil surface. Based on the obtained results, models of the linear dependence of NDTI values on the projective cover of the soil surface with plant residues were constructed. The possibility of quantitative accounting of plant residues only on the basis of remote sensing data was also analyzed. The highest coefficient of determination (R2 = 0.97) with the smallest square root of the standard error (RMSE = 7.93) was obtained by modeling based on the analysis of photographs of the soil surface covered with plant residues. Based on the model of the dependence of NDTI values on the projective cover of plant residues obtained as a result of the analysis of photographs based on Sentinel -2 satellite data for the growing season 2020–2021, data were obtained on the dynamics of soil coverage with plant residues (CRC) on the scale of a single field an d different tillage technologies. As an approbation of the approach and an assessment of its use for solving production problems, the dynamics of the projective cover with plant residues was analyzed under different crops and different relief conditions. An analysis of the dynamics of CRC values made it possible to distinguish between different stages of crop cultivation under traditional technology (TT) and no-till (ПП), and also on the scale of an individual field revealed the heterogeneity of the projective soil cover with plant residues associated with the features of the mesorelief.
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根据遥感数据和田间土壤覆盖调查对免耕技术中作物残留的定量评估
免耕技术的主要特点是将作物残留物保留在土壤表面。作物残留定量评价是将技术引入生产的一项重要任务。在实地和遥感数据的基础上,考虑了不同的评估方法。这项研究是在斯塔夫罗波尔地区的布登诺夫斯基区的农场里进行的,使用了传统技术(TT)和免耕技术(ПП)。Sentinel-2系统的图像被用作遥感数据,在此基础上计算光谱指数NDTI和NDVI。采用三种方法估算植物残留物的投影覆盖:1)单位面积植物残留物的重量核算;2) 用样条线法进行投影覆盖的野外测定;3) 土壤表面照片的桌面分析。在此基础上,建立了NDTI值与植物残留土壤表面投影覆盖的线性相关性模型。还分析了仅根据遥感数据对植物残留物进行定量核算的可能性。根据对植物残留物覆盖的土壤表面照片的分析,通过建模获得了具有最小标准误差平方根(RMSE=7.93)的最高决定系数(R2=0.97)。基于基于Sentinel-2卫星2020-2021生长季数据的照片分析结果获得的NDTI值对植物残留物投影覆盖的依赖性模型,获得了单块田地和不同耕作技术规模上植物残留物土壤覆盖动态的数据。作为对该方法的认可和对其用于解决生产问题的评估,分析了不同作物和不同救济条件下植物残留物投影覆盖的动力学。通过对CRC值的动态分析,可以区分传统技术(TT)和免耕(ПП)下的不同作物种植阶段,也可以在单个田地的尺度上进行区分,揭示了具有植物残留物的投影土壤覆盖的异质性,这些植物残留物与中地形的特征有关。
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CiteScore
0.90
自引率
0.00%
发文量
15
审稿时长
8 weeks
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