Structure of the information-analytical web platform for monitoring desertification processes “Аgrokosmos”

Authors

DOI:

https://doi.org/10.33730/2310-4678.4.2025.346188

Keywords:

land degradation, drought phenomena, remote sensing, geographic information systems, website, semantic core, target audience

Abstract

Climate change intensifies land degradation processes in Ukraine, necessitating the development of specialized information systems to support effective monitoring and management of land resources. This research aims to substantiate and design the structure of a pilot information-analytical web resource “Agrokosmos” for tracking the spatial distribution of desertification and drought phenomena. The methodology employs system analysis of international land degradation monitoring platforms, logical-structural approach to web resource design, semantic analysis of key terms, and investigation of target audience needs in the field of sustainable land management. A hierarchical website structure has been developed, comprising a homepage and ten main sections: institutional and legal framework, general information, methodological and technological approaches, data, spatial distribution of processes, analytical reports, adaptation measures, knowledge base, additional information sources, and news. A semantic core has been formed around twelve thematic clusters, encompassing over one hundred key terms to enhance search-engine visibility. Ten target audience groups have been identified, including scientists, government agencies, agricultural specialists, international organizations, and the general public. The proposed architecture ensures integration of satellite data, geoinformation tools, cartographic materials, and analytical reports within a unified decision support environment. The resulting structure provides a practical foundation for a national desertification monitoring platform, will facilitate Ukraine’s implementation of its obligations under the UN Convention to Combat Desertification, and will enhance drought early warning effectiveness. Future directions include populating the platform with current Earth remote sensing data and developing automated algorithms for identifying areas at risk of degradation

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Published

2025-11-14

Issue

No. 4 (2025)

Section

Articles

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