DESIGN OF AN AUTOMATED FOREST RESOURCE MONITORING SYSTEM

Authors

DOI:

https://doi.org/10.35546/kntu2078-4481.2026.2.32

Keywords:

forest resources, GIS technologies, web platform, remote sensing, automated monitoring, LiDAR, sustainable forestry, software

Abstract

The article presents the results of a scientific study aimed at solving the urgent problem of digitalizing forest management in the face of global environmental and anthropogenic challenges. In the course of the study, a critical review of the existing software market was conducted, which allowed for the identification of fundamental shortcomings in modern systems, specifically limited integration of data from various sources and insufficient analytical capabilities. Based on the analysis of modern methods for obtaining environmental information (remote sensing, GIS, LiDAR) and the analysis of forest resource characteristics, conceptual requirements for specialized software were developed, and on their basis, a multifunctional web platform for automated monitoring and in-depth analysis of forest resources was designed. An architecture has been created that ensures the unification of Earth remote sensing methods, laser scanning technologies, and classical forest inventory within a single GIS infrastructure. The developed platform implements a comprehensive approach, combining modules for interactive mapping, accurate quantitative and qualitative accounting of bioresources, and an innovative system for realtime monitoring of forestry equipment location. Particular attention is paid to task management functionality, which allows for the automation of work assignments and control over their execution with reference to specific geographic coordinates. The proposed web platform serves as an effective tool for transitioning to a sustainable forest management model, providing a reliable mechanism for countering forest degradation, monitoring the consequences of climate change, and ensuring the overall digital transformation of production processes in the forestry sector. The results obtained can be utilized in the creation of nationwide environmental monitoring systems and the construction of dynamic digital twins of forest stands

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Published

2026-05-07