P. Trofymenko, V. Zatserkovnyy, I. Zobniv, N. Trofimenko, O. Siabruk, V. Zabaluyev
{"title":"Remote determination quantity of photosynthetic flow of organic carbon (Ph) in the agrocenosis of winter wheat depending on the variegated soil cover","authors":"P. Trofymenko, V. Zatserkovnyy, I. Zobniv, N. Trofimenko, O. Siabruk, V. Zabaluyev","doi":"10.31073/acss93-05","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":189346,"journal":{"name":"Agrochemistry and Soil Science","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agrochemistry and Soil Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31073/acss93-05","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.