Geospatial Intelligence and Remote Sensing for Climate-Smart and Sustainable Agriculture

##plugins.pubIds.doi.readerDisplayName## https://doi.org/10.70593/978-93-7185-854-0

Authors

Pavlo Lykhovyd
Institute of Climate-Smart Agriculture of NAAS

Keywords:

Geospatial intelligence, Remote sensing, Geographic Information System, Precision agriculture, Climate-smart agriculture, Sustainable agriculture, Geoinformatics

Synopsis

In the context of global climate change, related threats for food security, and the need for rational land and water resources usage in order to provide environmental sustainability, agricultural sector of Ukrainian economy faces serious challenges. The problems are particularly aggravated in the steppe zone, where unstable weather conditions, lack of natural moisture supply, and soil degradation require the introduction of novel approaches to agricultural production. In this regard, the use of geographic information systems (GIS), remote sensing technologies, and precision farming is essential. These technologies not only allow for dynamic and rapid monitoring of the state of agricultural phytocenoses but also enable the development of scientifically sound strategies for agricultural production management, optimization of resource use, and increased sustainable yields.

This monograph summarizes the results of a five-year scientific work. It consists of sections that sequentially cover the stages of research: from theoretical foundations to practical recommendations. The first chapter presents a review of relevant scientific literature and its detailed scientific analysis. The second chapter is devoted to the methodology of scientific work. The third chapter provides details on the developed mathematical models and methods of agroecological zoning of agricultural lands based on remote sensing data. The fourth chapter is devoted to the possibility of remote identification of agricultural crops and the possibilities of crop mapping based on the dynamic characteristics of vegetation indices. The fifth chapter presents information about the main databases and software products developed using the results of the performed study. The conclusions and recommendations are based solely on the results of scientific work that has been tested and implemented in agricultural farms and higher education establishments.

The results of the research have significant scientific and practical value. They create the basis for the systematic implementation of digital agriculture, contribute to improving the economic efficiency of agricultural production, optimizing the use of resources, and adapting to climate change. In the long term, this will significantly strengthen Ukraine’s food security and ensure the sustainable development of the national agricultural sector.

References

Morozov VV, Lysogorov KS, Shaporybska NM. Geoinformation systems in agrosphere. Kherson: KhDU; 2007.

Bilynsky JJ, Knysh BP. Analysis of features and substantiation of vegetation indices. Bulletin of Vinnytsia Politechnic University. 2021;(2):7-14.

Solymosi KJ, Kövér G, Romvári R. The progression of vegetation indices: a short overview. Acta Agraria Kaposváriensis. 2019;23(1):75-90.

Polishchuk VV. Method of effectiveness assessment of information system implementation for operational planning irrigation GIS-Irrigation. Bulletin of National University of Water Economy and Environmental Use. 2015;(3):431-8.

Ganzelmeier H. GIS-aided application of plant protection products. Outlooks on Pest Management. 2005;16(6):273.

Weidong Z, Chun W, Jing H. Development of agriculture machinery aided guidance system based on GPS and GIS. In: 2010 World Automation Congress; 2010 Sep 26-30; Kobe, Japan. IEEE; 2010. p. 313-7.

De Wit A, Boogaard H, Fumagalli D, Janssen S, Knapen R, van Kraalingen D, et al. 25 years of the WOFOST cropping systems model. Agricultural Systems. 2019;168:154-67.

Downloads

Published

4 November 2025

Details about the available publication format: E-Book

E-Book

ISBN-13 (15)

978-93-7185-854-0

Details about the available publication format: Book (Paperback)

Book (Paperback)

ISBN-13 (15)

978-93-7185-994-3

How to Cite

Lykhovyd, P. . (2025). Geospatial Intelligence and Remote Sensing for Climate-Smart and Sustainable Agriculture. Deep Science Publishing. https://doi.org/10.70593/978-93-7185-854-0