1984年10月生，中共党员，博士，硕士研究生导师；新疆地理学会常务理事，新疆自然资源协会理事；入选自治区高层次人才引进工程（2015）、中国科学院青年创新促进会（2018）、自治区“天山英才”计划青年拔尖人才（2022）等人才计划；IEEE 地球科学与遥感协会J-STARS期刊2022年度最佳审稿人，J-STARS、Land、Big Earth Data等期刊专刊客座编辑；在国内学术刊物上发表论文80多篇，其中SCI检索论文70多篇。

教育经历：

2012-2015 南京大学地理与海洋科学学院，地图学与地理信息系统专业，理学博士

2009-2012 中国矿业大学环境与测绘学院，摄影测量与遥感专业，工学硕士

2005-2009 南京大学地理与海洋科学学院，地理信息科学专业，理学学士

工作经历： 

2015.09-2018.11  中国科学院新疆生态与地理研究所  助理研究员

2018.12-2022.11 中国科学院新疆生态与地理研究所  副研究员

2022.12-至今     中国科学院新疆生态与地理研究所  研究员

(1) 国家自然科学基金面上项目：基于对比学习的亚洲中部干旱区湿地遥感分类, 执行期：2024.1-2027.12，经费：46万元。

(2) 国家自然科学基金面上项目：样本与特征迁移的中亚典型城市覆被精细分类方法研究，执行期：2021.1-2024.12，经费：55万元。

(3) 自治区“天山英才”计划青年拔尖人才项目：巴音布鲁克草原甘肃马先蒿种群时空格局、动态与入侵态势预警，执行期：2023.1-2025.12，经费：150万。

(4) 中国科学院“西部青年学者”项目：面向干旱区植被覆盖遥感分类的弱监督学习方法研究与应用，执行期：2023.1-2026.12，经费：95万。

(5) 中国科学院海外科教合作中心项目：哈萨克斯坦洪水灾害空间变化模式分析与模拟预测，执行期：2025.1-2027.12，经费：210万。

1) Samat, A., Li, E., Wang, W., Liu, S., & Liu, X. (2022). HOLP-DF: HOLP Based Screening Ultrahigh Dimensional Subfeatures in Deep Forest for Remote Sensing Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 8287-8298.

2) Liu, X., Samat, A.*, Li, E., Wang, W., & Abuduwaili, J. (2022). Self-Trained Deep Forest with Limited Samples for Urban Impervious Surface Area Extraction in Arid Area Using Multispectral and PolSAR Imageries. Sensors, 22(18), 6844.

3) Wang, W., Samat, A.*, Abuduwaili, J.*, Wang, C., De Maeyer, P., & Van De Voorde, T. (2022). Automatic identification of Sand and dust storm sources based on wind vector and Google Earth Engine. IEEE Geoscience and Remote Sensing Letters.

4) Wang, W., Samat, A.*, Abuduwaili, J.*, Ge, Y., De Maeyer, P., & Van de Voorde, T. (2022). A novel hybrid sand and dust storm detection method using MODIS data on GEE platform. European Journal of Remote Sensing, 55(1), 420-428.

5) Wang, W., Samat, A.*, Abuduwaili, J., Ge, Y., De Maeyer, P., & Van de Voorde, T. (2022). Temporal characterization of sand and dust storm activity and its climatic and terrestrial drivers in the Aral Sea region. Atmospheric Research, 275, 106242.

6) Samat, A., Gamba, P., Wang, W., Luo, J., Li, E., Liu, S., ... & Abuduwaili, J. (2022). Mapping Blue and Red Color-Coated Steel Sheet Roof Buildings over China Using Sentinel-2A/B MSIL2A Images. Remote Sensing, 14(1), 230.

7) Xu, T., Li, E., Samat, A., Li, Z., Liu, W., & Zhang, L. (2022). Estimating Large-Scale Interannual Dynamic Impervious Surface Percentages Based on Regional Divisions. Remote Sensing, 14(15), 3786.

8) Li, Z., Li, E., Samat, A., Xu, T., Liu, W., & Zhu, Y. (2022). An Object-Oriented CNN Model Based on Improved Superpixel Segmentation for High-Resolution Remote Sensing Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 4782 - 4796.

9) Liu, S., Zheng, Y., Du, Q., Bruzzone, L., Samat, A., Tong, X., ... & Wang, C. (2022). A Shallow-to-Deep Feature Fusion Network for VHR Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing.

10) Samat, A., Li, E., Du, P., Liu, S., & Miao, Z. (2021). Improving Deep Forest via Patch-Based Pooling, Morphological Profiling, and Pseudo Labeling for Remote Sensing Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 9334-9349.

11) Samat, A., Li, E., Du, P., Liu, S., & Xia, J. (2021). GPU-accelerated catboost-forest for hyperspectral image classification via parallelized mRMR ensemble subspace feature selection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 3200-3214.

12) Li, E., Samat, A., Zhang, C., Du, P., & Liu, W. (2021). First and second-order information fusion networks for remote sensing scene classification. IEEE Geoscience and Remote Sensing Letters, 19, 1-5.

13) Li, E., Samat, A., Du, P., Liu, W., & Hu, J. (2020). Improved bilinear CNN model for remote sensing scene classification. IEEE Geoscience and Remote Sensing Letters.

14) Liu, S., Zheng, Y., Du, Q., Samat, A., Tong, X., & Dalponte, M. (2020). A novel feature fusion approach for VHR remote sensing image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 464-473.

15) Wang, W., Samat, A., Abuduwaili, J., & Ge, Y. (2021). Quantifying the influences of land surface parameters on LST variations based on GeoDetector model in Syr Darya Basin, Central Asia. Journal of Arid Environments, 186, 104415.

16) Samat, A., Li, E., Du, P., Liu, S., Miao, Z., & Zhang, W. (2020). CatBoost for RS image classification with pseudo label support from neighbor patches-based clustering. IEEE Geoscience and Remote Sensing Letters.

17) Wang, W., Samat, A., Ge, Y., Ma, L., Tuheti, A., Zou, S., & Abuduwaili, J. (2020). Quantitative soil wind erosion potential mapping for Central Asia using the Google Earth Engine platform. Remote Sensing, 12(20), 3430.

18) Samat, A., Li, E., Wang, W., Liu, S., Lin, C., & Abuduwaili, J. (2020). Meta-XGBoost for hyperspectral image classification using extended MSER-guided morphological profiles. Remote Sensing, 12(12), 1973. 

19) Wang, W., Samat, A., Abuduwaili, J., & Ge, Y. (2020). Spatio-temporal variations of satellite-based pm2. 5 concentrations and its determinants in Xinjiang, Northwest of China. International Journal of Environmental Research and Public Health, 17(6), 2157.

20) Samat, A., Li, J., Lin, C., Liu, S., & Li, E. (2019). Edge gradient-based active learning for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters, 17(9), 1588-1592.

（一）第九届新疆青年科技奖，序1，2019年；

（二）中国测绘学会测绘科技进步一等奖，序2， 2019年；

（三）江苏省测绘地理信息学会科技进步一等奖，序5，2018年；

（四）湖南省科学技术进步二等奖，序7，2020年；

 (五) 教育部高等学校科学研究优秀成果奖（科学技术）二等奖，序4，2023年。