GIS-BASED STUDY OF FOREST VEGETATION: A CASE STUDY OF THE ARYKBALYK BRANCH OF THE KOKSHETAU STATE NATIONAL NATURAL PARK (2019–2024)

Authors

  • Kurmangozhinov Alzhan Zhanibekovich S. Seifullin Kazakh Agro Technical Research University NCJSC
  • Adalkyzy Inzhu S. Seifullin Kazakh Agro Technical Research University NCJSC
  • Kazangapova Nurgul Burkitbayevna S. Seifullin Kazakh Agro Technical Research University NCJSC
  • Zhumagulova Madina Serikbayevna S. Seifullin Kazakh Agro Technical Research University NCJSC

DOI:

https://doi.org/10.52269/SRDG2611129

Keywords:

GIS, forest cover, ecosystem monitoring, NDVI, dynamics, Sentinel Hub

Abstract

This study aims to assess the dynamics of the forest vegetation in the Arykbalyk branch of the Kokshetau State National Natural Park from 2019 to 2024 using geographic information system (GIS) technologies and remote sensing methods.

Using Sentinel-2 and Landsat satellite imagery, the spatiotemporal patterns of the NDVI were calculated and analyzed.

The obtained results revealed a significant deterioration in the state of the forest cover in 2022 (the average NDVI value dropped to 0.19), which is likely directly related to the anomalous drought conditions observed in the region during that period. Differences in the nature of dynamics were also identified in each of the four forestries. The study confirmed the effectiveness of GIS technologies as a valuable tool for monitoring extensive forest ecosystems. The data obtained can serve as a basis for identifying problematic areas and planning forestry management activities. As practical recommendations, it is proposed to conduct ground-based inspections in areas with reduced NDVI values, as well as to systematize monitoring efforts and use the resulting cartographic materials to support management decision-making. The study demonstrates that the obtained data can serve as a basis for developing strategies to mitigate the effects of extreme weather conditions and enhance forest resilience.

Author Biographies

  • Kurmangozhinov Alzhan Zhanibekovich, S. Seifullin Kazakh Agro Technical Research University NCJSC

    PhD, Doctor of Natural Sciences, acting Associate Professor

  • Adalkyzy Inzhu, S. Seifullin Kazakh Agro Technical Research University NCJSC

    Master student

  • Kazangapova Nurgul Burkitbayevna, S. Seifullin Kazakh Agro Technical Research University NCJSC

    Candidate of Geographical Sciences, PhD, Associate Professor

  • Zhumagulova Madina Serikbayevna, S. Seifullin Kazakh Agro Technical Research University NCJSC

    PhD student, Master of Agricultural Sciences

Additional Files

Published

2026-04-02