研究队伍
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简历：
侯金亮，博士，中国科学院西北生态环境资源研究院副研究员。主要从事“机器/深度学习-机理模型”双驱动下，多源遥感数据融合方面的研究，主要包括：（1）基于机器/深度学习的遥感产品质量改善研究；（2）陆面数据同化框架下，机器/深度学习与机理模型的都和研究；（3）机器学习/深度学习在地学领域其他问题上的应用。
研究领域：
地图学与地理信息系统（积雪定量遥感、陆面数据同化、遥感大数据）
职称：
副研究员
职务：获奖及荣誉：代表论著：
1. Jinliang Hou, Chunlin Huang*, Ying Zhang, Yuanhong You. Reconstructing a Gap-Free MODIS Normalized Difference Snow Index Product Using a Long Short-Term Memory Network. IEEE Transactions on Geoscience and Remote Sensing, 2020,60:1-14.
2. Jinliang Hou, Chunlin Huang*, Weijing Chen, Ying Zhang. Improving snow estimates through assimilation of MODIS fractional snow cover data using machine learning algorithms and the common land model. Water Resources Research. 2021, 57, e2020WR029010. https://doi.org/10.1029/2020WR029010. 3. Jinliang Hou, Chunlin Huang*, Weijing Chen, Ying Zhang. Developing machine learning-based snow depletion curves and analysing their sensitivity over complex mountainous areas. Hydrological Processes. 2021;35:e14303. https://doi.org/10.1002/hyp.14303. 4. Jinliang Hou, Chunlin Huang*, Ying Zhang, Jifu Guo. On the Value of Available MODIS and Landsat8 OLI Image Pairs for MODIS Fractional Snow Cover Mapping Based on an Artificial Neural Network. IEEE Transactions on Geoscience and Remote Sensing, 2020,58 (6):1-16. 5. Jinliang Hou, Chunlin Huang*. Improving Mountainous Snow Cover Fraction Mapping via Artificial Neural Networks Combined With MODIS and Ancillary Topographic Data. IEEE Transactions on Geoscience & Remote Sensing, 2014, 52(9):5601-5611. 6. Jinliang Hou, Chunlin Huang*, Ying Zhang, Jifu Guo, Juan Gu. Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques[J]. Remote Sensing, 2019, 11(90):1-24. 7. De Xing, Jinliang Hou*, Chunlin Huang, Weimin Zhang. Spatiotemporal Reconstruction of MODIS Normalized Difference Snow Index Products Using U-Net with Partial Convolutions. Remote Sensing. 2022, 14, 1795. https://doi.org/10.3390/rs14081795. 8. Jifu Guo, Chunlin Huang, Jinliang Hou*. A Scalable Computing Resources System for Remote Sensing Big Data Processing Using GeoPySpark Based on Spark on K8s. Remote Sensing. 2021, 14, 521. https://doi.org/10.3390/rs14030521. 9. Xianghua Li, Jinliang Hou*, Chunlin Huang, High-Resolution Gridded Livestock Projection for Western China Based on Machine Learning. Remote Sensing, 2021, 13, 5038. https://doi.org/10.3390/rs13245038 10. Yansi Chen, Jinliang Hou*, Chunlin Huang, Ying Zhang, Xianghua Li. Mapping Maize Area in Heterogeneous Agricultural Landscape with Multi-Temporal Sentinel-1 and Sentinel-2 Images Based on Random Forest. Remote Sensing. 2021, 13, 2988. https://doi.org/10.3390/rs13152988. 11. Weixiao Han, Chunlin Huang, Juan Gu, Jinliang Hou*, Ying Zhang. Spatial-temporal Distribution of the Freeze–Thaw Cycle of the Largest Lake (Qinghai Lake) in China based on Machine Learning and MODIS from 2000 to 2020. Remote Sensing. 2021, 13, 1695. https://doi.org/10.3390/rs13091695.
承担科研项目情况：
1. 国家自然科学基金重点项目课题，数据同化框架下深度学习与陆面/水文模型集成的理论与方法，2022.1-2026.12, 主持
2. 国家自然科学基金面上项目，基于数据-模型混合驱动的高分辨率雪深估算方法研究，2020.1-2023.12， 主持 3. 国家自然科学基金青年基金，基于智能优化算法的山区MODIS积雪面积产品重建研究，2016.1-2018.12， 主持 4.中国科学院战略性先导科技专项（A类）课题，基于大数据的“美丽中国”决策支持系统与未来情景模拟， 2018.1-2022.12，秘书，主要参与人 5. 国家自然科学基金面上项目，联合机器学习和多尺度集合卡尔曼滤波算法的积雪数据同化方法研究，2017.1-2020.12， 主要参与人 6.国家自然科学基金面上项目，基于贝叶斯模型平均和遗传粒子滤波的积雪数据同化方法研究，2019.1-2022.12， 主要参与人
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