中国科学院地理科学与资源研究所

导师介绍

黄翀

男，研究员，博士生导师。中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室海岸带海洋信息系统研究室副主任、中国科学院黄河三角洲现代农业工程实验室副主任、山东禹城农田生态系统国家野外科学观测研究站副站长（兼），国际地球观测组织（GEO）中国工作组专家。2005年于中国科学院地理科学与资源研究所获地图学与地理信息系统专业理学博士学位，2007年于中国科学院生态网络中心博士后出站，同年进入资源与环境信息系统国家重点实验室工作至今，期间于2015.10-2016.10在美国路易斯安娜州立大学（Louisiana State University）开展访问学者研究。

研究领域与主要研究方向：地理信息科学，主要从事时间序列遥感大数据挖掘、时空优化配置、海岸带生态模拟等研究。

主要科研成果：研发了遥感时间维信息挖掘技术，发展了基于多模态遥感时态维信息土地覆盖分类方法，解决了多云多雨区复杂下垫面及遥感数据不规则采样对土地覆盖遥感分类的限制；提出了一种以对象层为中间层的决策级融合方法，实现了高重访、低分辨率卫星遥感数据的时态维信息与低重访、高分辨率遥感数据的空间维信息的有效融合，较好地解决了遥感大数据时空信息异构融合难题。

近期论著：
1. 黄翀等著. 时序对地观测大数据土地覆盖制图.北京: 科学出版社, 2022.
2. 黄翀,刘兆飞,余国安,著.气候和土地利用变化对泰国穆河流域水量水质的影响. 北京：中国农业科学技术出版社，2022.
3. 成升魁, 徐增让, 黄翀, 王正兴, 编著. 东南亚资源与环境. 北京: 科学出版社, 2017.
4. 刘高焕,黄翀,李亚飞,张海龙, 著. 澜沧江流域植被格局及净初级生产力模拟研究. 北京: 科学出版社, 2015.
5. 李殿魁, 杨玉珍, 程义吉, 杨作升, 王厚杰, 刘高焕, 杨晓阳, 庄会江, 黄翀. 黄河三角洲国土防护与生态修复技术研究. 郑州: 黄河水利出版社, 2013.
6.Yue Sun, Yanhui Wang*,Chong Huang*, Renhua Tan & Junhao Cai. Measuring farmers’ sustainable livelihood resilience in the context of poverty alleviation: A case study from Fugong County, China. Humanities and Social Sciences Communications, 2023, 10:75. https://doi.org/10.1057/s41599-023-01575-4
7. Xarapat Ablat, Chong Huang, Guoping Tang, Nurmamat Arkin and Rukeya Sawut. Modeling Soil CO2 Efflux in a Subtropical Forest by Combining Fused Remote Sensing Images with Linear Mixed Effect Models. Remote Sens. 2023, 15, 1415.
8. Fengqin Yan, Xuege Wang, Chong Huang, Junjue Zhang, Fenzhen Su*, Yifei Zhao, Vincent Lyne. Sea Reclamation in Mainland China: Process, Pattern, and Management. Land Use Policy, 2023, 127, 106555.
9. Chunhua Peng, Yanhui Wang*, Junwu Dong and Chong Huang*. Impact of Land Use Change on the Habitat Quality Evolution in Three Gorges Reservoir Area, China. Int. J. Environ. Res. Public Health 2023, 20, 3138.
10. Shuxuan Wang？, Chong Huang？, He Li* and Qingsheng Liu. Synergistic Integration of Time Series Optical and SAR Satellite Data for Mariculture Extraction. Remote Sens. 2023, 15, 2243. https://doi.org/10.3390/rs15092243.
11. Chong Huang, Chenchen Zhang, He Li. Assessment of the impact of rubber expansions on regional carbon storage based on time series remote sensing and InVEST model. Remote Sensing, 2022, 14, 6234.
12.Chong Huang, Chenchen Zhang. Time-series Remote Sensing of Rice Paddy Expansion in the Yellow River Delta: Towards Sustainable Ecological Conservation in the Context of Water Scarcity. Remote Sensing in Ecology and Conservation, 2022. doi: 10.1002/rse2.320.
13. Chong Huang, Chaoliang Xiao and Lishan Rong. Integrating Point-of-Interest Density and Spatial Heterogeneity to Identify Urban Functional Areas. Remote Sens. 2022, 14, 4201.
14. Chong Huang, Xiangjun Hou, He Li*. An improved minimum cumulative resistance model for risk assessment of agricultural non-point source pollution in the coastal zone. Environmental Pollution, 2022, 312, 120036.
15.Chong Huang, Chenchen Zhang. Characterizing urban growth in Vientiane from 2000 to 2019 using time-series optical and SAR-based estimates of urban land. International Journal of Applied Earth Observations and Geoinformation, 2022, 109, 102798.
16. Junwu Dong, Yanhui Wang*, Lili Wang, Wenji Zhao, Chong Huang*. Assessment of PM2.5 exposure risk towards SDG indicator 11.6.2 – A case study in Beijing. Sustainable Cities and Society, 2022, 82, 103864.
17. Benhe Cai, Yanhui Wang, Chong Huang*, Jiahao Liu and. GLSNN Network: A Multi-scale Spatiotemporal Prediction Model for Urban Traffic Flow. Sensors, 2022, 22, 8880.
18. Xilin Wu, Qingsheng Liu, Chong Huang* and He Li. Mapping Heat-Health Vulnerability Based on Remote Sensing: A Case Study in Karachi. Remote Sens. 2022, 14, 1590.
19. Chuangye Song, Jiawen Sang, Lin Zhang, Huiming Liu, Dongxiu Wu, Weiying Yuan and Chong Huang*. Adaptiveness of RGB？image derived algorithms in the measurement of fractional vegetation coverage. BMC Bioinformatics, 2022, 23:358.
20. Qingsheng Liu*, Chong Huang,* Xing Gao*, He Li, Gaohuan Liu. Size distribution of the quasi-circular vegetation patches in the Yellow River Delta, China. Ecological Informatics, 2022, 71, 101807.
21. He Li, Peng Wang and Chong Huang*. Comparison of Deep Learning Methods for Detecting and Counting Sorghum Heads in UAV Imagery. Remote Sens., 2022, 14, 3143.
22. Xudong Guan？, Chong Huang？, Juan Yang and Ainong Li. Remote Sensing Image Classification with a Graph-Based Pre-Trained Neighborhood Spatial Relationship. Sensors, 2021, 21, 5602.
23.Yanhui Wang, Bibo Yu, Fuxiao Zhu, Jianchen Zhang,Chong Huang*. Hierarchical Stroke Mesh: A New Progressive Matching Method for Detecting Multi-Scale Road Network Changes using OpenStreetMap.Soft Computing, 2021, 25(4): 3155-3173.
24. Chuanjie Xie, Chong Huang*, Deqiang Zhang, Wei He. BiLSTM-I: A Deep Learning-Based Long Interval Gap-Filling Method for Meteorological Observation Data. Int. J. Environ. Res. Public Health 2021, 18, 10321.
25.Xudong Guan,Chong Huang*, and Rui Zhang. Integrating MODIS and Landsat Data for Land Cover Classification by MultilevelDecision Rule. Land, 2021, 10(2), 208;
26.Lei Shi, Qingsheng Liu*,Chong Huang*, Xing Gao*, He Li, Gaohuan Liu. Mapping quasi-circular vegetation patch dynamics in the Yellow River Delta, China, between 1994 and 2016. Ecological Indicators, 2021, 126, 107656.