THE MODELING OF THE YIELDING CAPACITY OF WINTER CEREALS DUE TO SATELLITE MONITORING DATA OF AGRICULTURAL LANDS IN UKRAINE

Author:

Stupen Roman1ORCID,Ryzhok Zoriana1ORCID,Stupen Nazar2ORCID,Stupen Oksana1ORCID

Affiliation:

1. Faculty of Land Organisation, Lviv National Agrarian University, Dublyany, Ukraine

2. Institute of Geodesy, Lviv Polytechnic National University, Lviv, Ukraine

Abstract

The paper reveals the method of work in the geoinformation system Crop Monitoring on the basis of satellite monitoring data on the example of comparison of two neighboring land uses outside Bortkiv village council of Zolochiv district of Lviv region. One has determined the size of the areas of crops of winter cereals and deduced the dependence between the index of the vegetative index NDVI and their yield capacity on the basis of the estimation of the state of land use by the processing of space information. One has suggested to take into account the value of NDVI when calculating the yield of winter cereals using mathematical modeling. The results obtained from the satellite monitoring data are proposed to be used for the planning of winter cerels yields, determining the area of their sowing and optimizing the harvesting time.

Publisher

Vilnius Gediminas Technical University

Subject

General Earth and Planetary Sciences

Reference17 articles.

1. An official website of the European Union. (2019). Monitoring Agricultural ResourceS (MARS). https://ec.europa.eu/jrc/en/mars

2. Predictive Modeling of Nonlinear Non-Stationary Processes in Crop Production Using Tools of SAS Enterprise Miner

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1. The method of creating agricultural thematic maps in geoinformation systems using the method of automatic unsupervised classification;2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT);2022-11-10

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