Аңдатпа
The article examines the potential application of high-resolution digital elevation models and satellite data for the design and remote monitoring of contour swales on sloping territories of Eastern Kazakhstan. The morphometric basis of the study was developed using UAV survey data processed with Structure-from-Motion (SfM) algorithms and the generation of a digital elevation model with a spatial resolution of 0.1 m. In addition, ALOS AW3D30 data and Sentinel-2 Level-2A multispectral imagery were used. The study included an analysis of morphometric terrain parameters and topographic indices characterizing moisture conditions and slope erosion susceptibility. It was established that slopes exceeding 5° increase the risk of surface runoff concentration and local erosion, requiring highly accurate alignment of contour swales along contour lines. A comparison of the Topographic Wetness Index (TWI) with the distribution of vegetation cover derived from satellite data revealed relationships between terrain features, moisture conditions, and vegetation patterns within the study area. The study also demonstrated that the use of Sentinel-2 data for monitoring contour swales is complicated by the mixed-pixel effect caused by the mismatch between swale dimensions and the spatial resolution of satellite imagery. In this regard, the use of spectral mixture analysis methods and further investigation of soil and vege-tation spectral characteristics are considered promising. The research demonstrates the potential for integrated use of high-resolution terrain models and satellite data for the remote assessment of anti-erosion structures under the environmental conditions of Eastern Kazakhstan.