Samat A 1

1. Unveiling kazakhstans ecosystem service puzzle: Spatiotemporal shifts and drivers of supply and demand through multi-model integration and machine learning methods
2. Spatiotemporal Dynamics of the Aridity Index in Central Kazakhstan
3. Automated Local Climate Zone Mapping via Multi-Parameter Synergistic Optimization and High-Resolution GIS-RS Fusion
4. Local Climate Zone Mapping by Integrating Hyperspectral and Multispectral Data with a Spectral–Spatial Fusion Network
5. A novel method integrating sample migration and threshold optimization for high-precision greenhouse classification: evidence from Southern China
6. An automatic classification method with weak supervision for large-scale wetland mapping in transboundary (Irtysh River) basin using Sentinel 1/2 imageries
7. Assessing Ecological Quality Dynamics and Driving Factors in the Irtysh River Basin Using AWBEI and OPGD Approaches
8. Explainable Machine Learning Insights into Wetland Dynamics and Carbon Storage in the Irtysh River Basin
9. Integrative analysis of transboundary land use conflicts in the Aral Sea Basin: A multi-scale assessment of drivers and strategies for sustainable management
10. Evaluating the Performance of Satellite-Derived Soil Moisture Products Across South America Using Minimal Ground-Truth Assumptions in Spatiotemporal Statistical Analysis
11. Spatiotemporal statistical evaluation of recent active and passive satellite-derived soil moisture products across Central Asia under multiple scenarios
12. A Systematic Review of Methodological Advances in Glacier-Velocity Retrieval with an Emphasis on Debris-Covered Glaciers
13. Dimensionality-Transformed Remote Sensing Data Application to Map Soil Salinization at Lowlands of the Syr Darya River
14. Monitoring vegetation patterns at the syrdarya river basin from 2000 to 2015 using modis data
15. USE OF WATER ІNDІCES FOR WATERBODІES ІN THE ESІL WATER MANAGEMENT BASІN
16. Unsupervised Domain Adaptation with Contrastive Learning-Based Discriminative Feature Augmentation for RS Image Classification
17. Spatiotemporal characteristics and driving factors of the fractional vegetation coverage in the Ertix River Basin
18. Advances in Remote Sensing and Machine Learning Methods for Invasive Plants Study: A Comprehensive Review
19. Self-Supervised Learning and Multi-Sensor Fusion for Alpine Wetland Vegetation Mapping: Bayinbuluke, China
20. Short-term high temperature stress in plants: Stress markers and cell signaling
21. ACO-TSSCD: An Optimized Deep Multimodal Temporal Semantic Segmentation Change Detection Approach for Monitoring Agricultural Land Conversion
22. Evaluation of Land Suitability for Construction in the Turpan–Hami Region Based on the Integration of the MaxEnt Model and Regional Planning
23. Fine-Grained Classification of Lakeshore Wetland–Cropland Mosaics via Multimodal RS Data Fusion and Weakly Supervised Learning: A Case Study of Bosten Lake, China
24. Remote Sensing of Non-Intertidal Wetlands: An Overview of Current Status and Future Research Directions
25. Adversarial Positive-Unlabeled Learning-Based Invasive Plant Detection in Alpine Wetland Using Jilin-1 and Sentinel-2 Imageries
26. Monitoring the Spatiotemporal Dynamics of Invasive Pedicularis kansuensis in Bayinbuluke Alpine Wetlands: A Novel Spectral Index Framework Using PlanetScope Time Series (2021–2025)
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