不同覆盖条件下冬小麦结土过程中有机碳(Ph)光合流量的远程测定

P. Trofymenko, V. Zatserkovnyy, I. Zobniv, N. Trofimenko, O. Siabruk, V. Zabaluyev
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引用次数: 0

摘要

本文介绍了土壤分异与冬小麦光合作用有机碳径流量(Ph)遥感识别关系的研究成果。科学工作致力于发展新的和改进现有的农业作物生物量积累模型,以便形成这些模型在不同气候条件和不同类型土壤下的结构。在研究沙质和轻壤土(PhСО2LIG和PhСLIG)、中壤土和重壤土(PhСО2HEAV和PhСHEAV)上建立了冬小麦生长过程中碳径流值的模型,并对模型的准确性进行了评价。实验研究证实了小麦作物有机碳径流PhСО2LIG值与砂质和壤土质量的地貌性特征,特别是土壤粒度分布、坡面和坡面土壤的一致性。结果表明,冬小麦生物量Ph值的远程鉴定误差值的95.2%是由于籽粒产量、秸秆和根质量的值造成的。考虑到用于远程识别的冬小麦器官发生有机碳期光合径流诊断期的特殊性,根据乌克兰的自然和气候带,开发了Sentinel 2A图像顺序的推荐平均年时间窗。因此,我们建议为其他卫星开发类似的模型,这些卫星分别在SWIR和NIR波段产生接近2080-2350 nm和1550-1750 nm的图像。这将为诊断冬小麦作物的碳径流提供更多所需的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote determination quantity of photosynthetic flow of organic carbon (Ph) in the agrocenosis of winter wheat depending on the variegated soil cover
The article presents the results of research on the relationship between soil differentiation and remote identification of the amount of photosynthetic runoff of organic carbon (Ph) in winter wheat crops. scientific work is devoted to the development of new and improvement of existing models of accumulation of biomass of agricultural crops, in order to form the structure of these models under different climatic conditions and on different types of soils. Models were developed during the research of carbon runoff values in the agrocenosis of winter wheat on sandy and light loam soils (PhСО2LIG and PhСLIG), medium and heavy loam soils (PhСО2HEAV and PhСHEAV) have been developed, and their accuracy has been assessed. Experimental studies have established and confirmed territorial consistency of the values of organic carbon runoff PhСО2LIG on wheat crops with geomorphological features of the quality of sandy and loamy soils, in particular the particle size distribution, gleying of soil and gley soil, was revealed. It is established that 95.2 % of the value of the error of remote identification of Ph of winter wheat biomass is due to the values of grain yield, straw and root mass. Taking into account the peculiarities of diagnostic phases of photosynthetic runoff of organic carbon phases of organogenesis of winter wheat for remote identification, the recommended average annual time windows of the Sentinel 2A image order in terms of natural and climatic zones of Ukraine have been developed. Thus, it is proposed to develop similar models for other satellites that produce images in the SWIR and NIR bands close to 2080-2350 nm and 1550-1750 nm, respectively. This will provide more images needed to diagnose carbon runoff in winter wheat crops.
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