DEVELOPING A METHOD FOR DETERMINING THE IMPACT OF LAND SLOPE ON THE CONDITION OF FORESTED AREAS

Authors

  • Sharofat Ikramovna Mukarramova Author
  • Khilola Azamatovna Ishmukhamedova Author

Keywords:

Land curvature; Slope; Aspect; Forest condition; GIS; Remote sensing; DEM; NDVI.

Abstract

This study examines the influence of land slope and curvature on forest condition using GIS and remote sensing data. High-resolution digital elevation models were applied to analyze geomorphological parameters such as slope, aspect, curvature, hillshade, and wind exposure within the Egrisuv plot 3. The results show that concave slopes provide favorable conditions for forest development due to higher moisture retention, while convex slopes are characterized by lower vegetation density and increased ecological vulnerability. Northern and western aspects support denser forest cover compared to southern and eastern slopes. The proposed approach enables accurate assessment of forest condition and supports sustainable forest management and ecological planning.

References

1. Perry, David. A., Forest Ecosystems, Johns Hopkins University Press., 1994.

2. THE 17 GOALS - Sustainable Development Goals, 2015, https://sdgs.un.org/goals

3. Presidential Decree of the Republic of Uzbekistan № DP-81 “On measures to transform the field of ecology and environmental protection and organize the activities of the authorized state body”, May 31, 2023

4. Walawe Durage Kalpanie Vimarshana Nandasena, “Forest change mapping using remote sensing and Google Earth Engine”, Shrilanka, 2023.

5. Jincheng Liu. Yan Zhu, “Estimation of Forest Biomass in Beijing (China) Using Multisource Remote Sensing and Forest Inventory Data”, 2020.

6. B. B. Tien. V T. Phuong, «Using landsat satellite images to detect forest cover changes in the northeast region of Vietnam,» Vietnam, 2023, doi.org/10.31926/but.fwiafe.2023.16.65.1.2

7. Alphan, H., & Derse M. A., «Change detection in southern Turkey using normalized difference,» Journal of environmental engineering and landscape management, pp. 12-18, 2013.

8. Oke, O.S, Akindele, S. O., «Challenges and prospects of Remote Sensing and GIS technology for forest resources management in Nigeria,» в Proceedings of the 8th Biennial conference of the Forests & Forest Products Society, Ibadan, Nigeria., 2022.

9. Sonti. Sh., «Application of Geographic Information System (GIS) in Forest,» Geography & Natural Disasters, т. 5, pp. 1-5, 2015, doi.org/10.4172/2167-0587.1000145

10. Mir Muhammad Nizamani, Q. Zhang “Application of GIS and Remote-Sensing Technology in Ecosystem Services and Biodiversity Conservation”,2020.

11. Cadastral Agency, "National Report on the State of Land Resources," 2025

12. Sh Shokirov., T.Jucker., Sh.R. Levic., A.D. Manning., « Habitat highs and lows Using terrestrial and UAV LiDAR for modelling avian species richness and abundance in a restored woodland», Remote Sensing of Environment, 2023,.

13. Zulfiya Khafizova., A. Azamat Jumanov, «Study of the dynamics of LULC change using remote sensing data and GIS technologies (case study of the Kashkadarya region),» E3S Web of Conferences, 2024, doi.org/10.1051/e3sconf/202459004002.

14. Constitution of the Republic of Uzbekistan, December 8, 1992

15. Esri, «Create an NDVI map in ArcGIS Pro»,

16. P. S. Sultonov, Ecology and Environment, Tashkent: “MUSIQA” Publishing, 2007.

Downloads

Published

2026-01-23