GEOSYSTEM ANALYSIS OF THE SPATIOTEMPORAL CHANGES IN AGROLANDSCAPES
DOI:
https://doi.org/10.26577/JGEM20257833Keywords:
agrolandscape, geosystem analysis, remote sensing, NDVI, NDWI, pansharpening, soil moistureAbstract
Global climate change and the instability of hydrometeorological conditions directly affect the sustainability and productivity of agricultural systems. In this context, geosystem analysis of the physical and geographical characteristics of agro-landscapes, as well as the assessment of spatial and temporal dynamics of vegetation and soil moisture based on remote sensing data, has become particularly relevant. The study focuses on the agro-landscapes of the deltaic plain of the Sharyn River, located in the Uygur District of the Almaty Region. The aim of the research is to conduct a geosystem-based analysis of the spatial structure of agro-landscapes during the growing season using NDVI and NDWI indices derived from Sentinel-2 satellite imagery and analytical tools of the EOSDA platform. To enhance the spatial resolution of multispectral images, the Gram-Schmidt-based pansharpening method was applied. The obtained results made it possible to assess seasonal changes in vegetation density and soil moisture regimes, providing a comprehensive understanding of the ecological condition of agro-landscape systems. The proposed approach has both scientific and practical significance for land resource management, agricultural planning, and the development of geoinformation monitoring technologies.
