Endorheic lakes are sensitive indicators of climate variability and water-management pressure, yet their response in data-scarce Central Asian basins remains poorly quantified. This study examines long-term climate trends (1981–2020) and satellite-altimetry-based water-level dynamics (2002–2026) of the Alakol–Sasykkol...
K. Samarkhanov, A. Skakova, R. Arystanova et al.· Sustainability· 0 citations
The study presents a reproducible methodology for regional digital terrain modeling based on Sentinel-1 SLC radar imagery for Almaty, Zhetysu, Zhambyl, Abai, and East Kazakhstan regions. The objective was to generate a geoinformation terrain layer suitable for hydrological analysis, surface runoff interpretation, ident...
A. Arystanov, R. Arystanova, G. Kabzhanova et al.· BULLETIN of the L.N. Gumilyo...· 0 citations
In data-sparse Central Asian watersheds, machine learning and Geographic Information Systems (GIS) are increasingly applied to hydrological hazard classification. This article compares Random Forest (RF), XGBoost, and Long Short-Term Memory (LSTM) models for daily elevated-discharge classification in the Koksu River ba...
S. Kulbekova, Abzal Kalygulov, R. Arystanova et al.· Water· 0 citations
The active development of the foothill areas of the Almaty agglomeration (Southeastern Kazakhstan) requires reliable methods for landslide susceptibility assessment. This study aims to identify the spatial association between landslide occurrence and selected environmental and anthropogenic factors using the Frequency...
