苏华
苏华，男，福建福清人，博士（后），现为福州大学研究员、博士生导师，担任数字中国研究院院长助理、卫星空间信息技术综合应用国家地方联合工程研究中心副主任，荣获IEEE高级会员、福建省杰出青年基金、福州大学旗山学者。担任国际数字地球学会数字海洋专业委员会委员，中国测绘学会大数据与人工智能工委会委员，中国海洋学会人工智能海洋学专业委员会委员，中国地理信息产业协会海洋时空信息工委会委员，福建省遥感学会副秘书长，AGU会员，CPGIS会员。2013年获中国科学院大学理学博士，2013-2015年先后担任厦门大学、美国特拉华大学博士后、副研究员，2025年公派比利时根特大学担任高级研究学者。2023年入选福建省级高层次人才（B类），2021年获得福建省杰出青年基金，2017年入选福建省高校杰出青年科研人才、国家遥感中心遥感青年科技人才。担任国际著名综合期刊The Innovation青年编委，Chinese Geographical Science青年编委，Remote Sensing专题顾问委员、客座编辑，30多个国际著名SCI期刊审稿人（Science Bulletin、The Innovation、RSE、ISPRS、TGRS、JAG、GRL、JGR、RS等），同时担任国内外多个学术会议组委会委员、分会主席（IEEE IGARSS等）。指导学生在国际摄影测量与遥感学会（ISPRS）遥感智能解译大赛中荣获亚军。指导多名学生获得福建省优秀硕士学位论文、优秀毕业生、国家奖学金，论文入选福建省自然科学优秀学术论文，荣获福州大学杰出青年教师励志奖、陈椿奖教金。
主要研究领域为人工智能海洋遥感，聚焦深海遥感、海岸带遥感、海洋遥感重建与气候变化方向。发表国内外学术论文60多篇，其中第一/通讯作者SCI论文30多篇（含国际Top期刊20多篇），国内顶级学报6篇，H指数为22。多篇论文发表在遥感领域国际顶级期刊RSE、ISPRS、TGRS、JAG、JGR、IJDE等上。授权国家发明专利5项。参与编写2021、2022《地球大数据支撑联合国可持续发展目标报告》（外交部发布）及《Artificial Intelligence Oceanography》（Springer Nature出版）、《人工智能海洋学》中英文专著。主持并参与国家级、省部级科研项目10余项，包括国家自然科学基金青年项目、面上项目、重点项目及中国博士后基金面上资助、特别资助等。
创新发展了融合多源卫星遥感与人工智能的深海遥感技术，拓展了卫星遥感对海观测的垂向维度（从表层至中深层），实现了中深海环境的超分重建，延长了海洋观测数据的时序跨度，填补了pre-Argo时期海洋观测的稀疏空白，提高了中深海的探测精度与分辨率，为中深海环境演变研究提供重要技术支撑。率先自主研制了DORS、OPEN等多套中深海遥感数据产品，被IPCC组织、中国科学院、厦门大学等国内外著名研究机构广泛采用，为海洋暖化与气候变化研究提供了深海遥感新数据与新视角。AI深海遥感理念和技术已被国内外学者广泛借鉴和采纳，为联合国IPCC组织等提供中深海遥感数据服务。多项研究成果入选外交部《地球大数据支撑联合国可持续发展目标报告》，被国际权威《IPCC第六次评估报告》采纳，并受邀在GEO第六次部长级峰会展示，为全球海洋暖化与气候变化评估做出了重要贡献。
人工智能海洋遥感研究组（AIORS Group）——研究兴趣包括但不限于：海洋遥感与数据重建、深海遥感与气候变化、人工智能海洋学、遥感智能解译等。欢迎对我研究方向感兴趣、有钻研精神、勤奋踏实的学生联系、报考与加盟！期待与你一起追寻梦想，探索科研，共同成长，学有所成！
个人主页：
https://www.researchgate.net/profile/Hua-Su-4 (ResearchGate)
https://scholar.google.com.hk/citations?user=K55DrmIAAAAJ&hl=zh-CN (Google Scholar)
Email：suhua@fzu.edu.cn
Selected Publications
2025:
Su, H.*, Teng, J., Zhang, F., Wang, A., & Huang, Z. (2025). Can satellite observations detect global ocean heat content change with high resolution by deep learning? ISPRS Journal of Photogrammetry and Remote Sensing, 225, 52-68.
Su, H., Liu, Y., Huang, Z.*, Wang, A., Hong, W., & Cai, J. (2025). Edge-aware transformer for coastal raft aquaculture extraction in optical remote sensing imagery. International Journal of Digital Earth, 18(1), 2484669.
2024:
Su, H.*, Zhang, F., Teng, J., Wang, A.*, & Huang, Z. (2024). Reconstructing high-resolution subsurface temperature of the global ocean using deep forest with combined remote sensing and in situ observations. ISPRS Journal of Photogrammetry and Remote Sensing, 218, 389-404.
Wang, A., Su, H.*, Huang, Z., & Yan X.-H. (2024). Knowledge-informed Deep Learning Model for Subsurface Thermohaline Reconstruction from Satellite Observations. IEEE Transactions on Geoscience and Remote Sensing, 62, 4213416.
Hong, W., Huang, Z.*, Wang, A., Liu, Y., Cai, J., & Su, H.* (2024). SeaIceNet: Sea Ice Recognition via Global-Local Transformer in Optical Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 62, 5648216.
Su, H.*, Qiu, J., Tang, Z., Huang, Z., & Yan, X.-H. (2024). Retrieving Global Ocean Subsurface Density by Combining Remote Sensing Observations and Multiscale Mixed Residual Transformer. IEEE Transactions on Geoscience and Remote Sensing, 62, 4201513.
Su, H.*, Tang, Z., Qiu, J., Wang, A., & Yan, X.-H. (2024). Estimating the mixed layer depth of the global ocean by combining multisource remote sensing and spatiotemporal deep learning. International Journal of Digital Earth, 17(1), 2332374.
Chen, Y., Su, H.*, Yan, X.-H., Zhang, H., & Wang, Y. (2024). Global oceans suffer extreme heatwaves intensifying since the early 21st century: A new comprehensive index. Ecological Indicators, 162, 112069.
Wu, W., Deng, S., Chen, C., & Su, H.* (2024). Unraveling Multi-Scale dynamics of estuarine wetland vegetation using the multi-resolution analysis wavelet transform and the Landsat time-series. Ecological Indicators, 158, 111342.
Wu, W.*, Lin, Z., Chen, C., Chen, Z., Zhao, Z., & Su, H. (2024). Tracking the dynamics of tidal wetlands with time-series satellite images in the Yangtze River Estuary, China. International Journal of Digital Earth, 17(1), 2330684.
Gan, Z., Guo, S., Chen, C., Zheng, H., Hu, Y., Su, H., & Wu, W.* (2024). Tracking the 2D/3D Morphological Changes of Tidal Flats Using Time Series Remote Sensing Data in Northern China. Remote Sensing, 16(5), 886.
Wu, W., Zhang, M., Chen, C.*, Chen, Z., Yang, H., & Su, H. (2024). Coastal reclamation shaped narrower and steeper tidal flats in Fujian, China: Evidence from time-series satellite data. Ocean & Coastal Management, 247, 106933.
Li, Z., Xu, W.*, Yang, S., Wang, J., Su, H., Huang, Z., & Wu, S. (2024). A Hierarchical Graph-Enhanced Transformer Network for Remote Sensing Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 20315-20330.
Xu, W.*, Wang, J., Wang, C., Li, Z., Zhang, J., Su, H., & Wu, S. (2024). Utilizing Dual-Stream Encoding and Transformer for Boundary-Aware Agricultural Parcel Extraction in Remote Sensing Images. Remote Sensing, 16(14), 2637.
Huang, Z., Hong, W., Su H. (2024). Global-Local Detail Guided Transformer for Sea Ice Recognition in Optical Remote Sensing Images, IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 1768-1772): IEEE.
张婧薇, 陈佐旗, & 苏华*. (2024). 基于广义相加模型的东南沿海叶绿素 a 浓度的多重影响与季节差异. 遥感技术与应用, 39(1), 134-148.
2023:
Su, H.*, Wei, Y., Lu, W., Yan, X.-H., & Zhang, H. (2023). Unabated Global Ocean Warming Revealed by Ocean Heat Content from Remote Sensing Reconstruction. Remote Sensing, 15, 566.
Liang, X., Lin, Y., Wu, R., Li, G., Khan, N., Liu, R., Su, H., Wei, S., & Zhang, H.* (2023). Time-frequency analysis framework for understanding non-stationary and multi-scale characteristics of sea level dynamics. Frontiers in Marine Science, 9, 2849.
Chen, Z.*, Li, Q., & Su, H. (2023). Do the urban polycentricity and dispersion affect multisectoral carbon dioxide emissions? A case study of 95 cities in southeast China based on nighttime light data. International Journal of Digital Earth, 16(2), 4867-4884.
Lu, W.*, & Su, H. (2023). Ocean Heat Content Retrieval from Remote Sensing Data Based on Machine Learning. In Artificial Intelligence Oceanography (pp. 125-145). Singapore: Springer Nature Singapore.
Su, H.*, Lu, W., Wang, A., & Zhang, T. (2023). AI-Based Subsurface Thermohaline Structure Retrieval from Remote Sensing Observations. In Artificial Intelligence Oceanography (pp. 105-123). Singapore: Springer Nature Singapore.
2022:
Su, H.*, Jiang, J., Wang, A., Zhuang, W., & Yan, X.-H. (2022). Subsurface temperature reconstruction for the global ocean from 1993 to 2020 using satellite observations and deep learning. Remote Sensing, 14, 3198.
Su, H.*, Wei, S., Qiu, J., & Wu, W. (2022). RaftNet: A New Deep Neural Network for Coastal Raft Aquaculture Extraction from Landsat 8 OLI Data. Remote Sensing, 14, 4587.
Wu, W., Zhi, C., Chen, C., Tian, B., Chen, Z., & Su, H.* (2022). Detecting annual anthropogenic encroachment on intertidal vegetation using full Landsat time-series in Fujian, China. GIScience & Remote Sensing, 59, 2266-2282.
Wu, W., Gao, Y., Chen, C., Sun, Y., & Su, H.* (2022). A Framework for Assessing the Dynamic Coastlines Induced by Urbanization Using Remote Sensing Data: A Case Study in Fujian, China. Remote Sensing, 14, 2911.
Wu, W.*, Zhi, C., Gao, Y., Chen, C., Chen, Z., Su, H., Lu, W., & Tian, B. (2022). Increasing fragmentation and squeezing of coastal wetlands: Status, drivers, and sustainable protection from the perspective of remote sensing. Science of the Total Environment, 811, 152339.
Wang, T., Sun, Y., Su, H., & Lu, W.* (2022). Declined trends of chlorophyll-a in the South China Sea over 2005-2019 from remote sensing reconstruction. Acta Oceanologica Sinica, 42, 1-14.
Wang, A., Su, H.*, & Yan, X.-H. (2022). AI-Based Downscaling of Ocean Subsurface Salinity from Remote Sensing Perspective. IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 6982-6985): IEEE.
智超, 吴文挺*, & 苏华 (2022). 潮汐和植被物候影响下的潮间带湿地遥感提取. 遥感学报, 26, 373-385.
高心雨, 王天浩, 苏华, 吴文挺, & 卢文芳* (2022). 南海两个代表性海区藻华事件特征的比较研究. 海洋学报, 45, 1-17.
2021:
Su, H., Zhang, T., Lin, M., Lu, W.*, & Yan, X.-H.* (2021). Predicting subsurface thermohaline structure from remote sensing data based on long short-term memory neural networks. Remote Sensing of Environment, 260, 112465.
Su, H.*, Wang, A., Zhang, T., Qin, T., Du, X., & Yan, X.-H. (2021). Super-resolution of subsurface temperature field from remote sensing observations based on machine learning. International Journal of Applied Earth Observation and Geoinformation, 102, 102440.
Su, H.*, Qin, T., Wang, A., & Lu, W. (2021). Reconstructing ocean heat content for revisiting global ocean warming from remote sensing perspectives. Remote Sensing, 13, 3799.
Su, H.*, Lu, X., Chen, Z., Zhang, H., Lu, W., & Wu, W. (2021). Estimating coastal chlorophyll-a concentration from time-series OLCI data based on machine learning. Remote Sensing, 13, 576.
2020:
Su, H., Zhang, H., Geng, X., Qin, T., Lu, W.*, & Yan, X.-H. (2020). OPEN: A new estimation of global ocean heat content for upper 2000 meters from remote sensing data. Remote Sensing, 12, 2294.
张天一, 苏华*, 杨欣, & 严晓海 (2020). 基于LightGBM的全球海洋次表层温盐遥感预测. 遥感学报, 24, 1255-1269.
卢雪梅, & 苏华* (2020). 基于 OLCI 数据的福建近海悬浮物浓度遥感反演. 环境科学学报, 40, 2819-2827.
2019:
Lu, W., Su, H.*, Yang, X., & Yan, X.-H.* (2019). Subsurface temperature estimation from remote sensing data using a clustering-neural network method. Remote Sensing of Environment, 229, 213-222.
Su, H., Yang, X., Lu, W., & Yan, X.-H.* (2019). Estimating subsurface thermohaline structure of the global ocean using surface remote sensing observations. Remote Sensing, 11, 1598.
Su, H.*, Ji, B., & Wang, Y. (2019). Sea ice extent detection in the Bohai Sea using Sentinel-3 OLCI data. Remote Sensing, 11, 2436.
Fonseka, H., Zhang, H.*, Sun, Y., Su, H., Lin, H., & Lin, Y. (2019). Urbanization and its impacts on land surface temperature in Colombo metropolitan area, Sri Lanka, from 1988 to 2016. Remote Sensing, 11, 957.
Su, H.*, Yang, X., & Yan, X.-H. (2019). Estimating Ocean Subsurface Salinity from Remote Sensing Data by Machine Learning. IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 8139-8142): IEEE.
Wang, X.*, Wang, F., Jia, L., Su, H., & Lin, M. (2019). Estimating PM2. 5 Concentrations of High-Resolution in Taiwan Island Using GF-1 WFV Data. IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 7846-7849): IEEE.
杨欣, 苏华*, 黎文娥, 黄琳瑾, 汪小钦, & 严晓海 (2019). 全球海洋次表层温度异常遥感反演的季节时空变化特征. 遥感学报, 23, 997-1010.
苏华*, 张明慧, 李静, 陈修治, & 汪小钦 (2019). 基于光学与 SAR 因子的森林生物量多元回归估算——以福建省为例. 遥感技术与应用, 34, 847-856.
朱欣然, 黄长平, 吴波, 苏华, 焦文哲, & 张立福* (2019). 顾及空间非平稳特征的遥感干旱监测. 遥感学报, 23, 487-500.
2018:
Su, H.*, Li, W., & Yan, X.-H.* (2018). Retrieving temperature anomaly in the global subsurface and deeper ocean from satellite observations. Journal of Geophysical Research: Oceans, 123, 399-410.
Su, H.*, Huang, L., Li, W., Yang, X., & Yan, X.-H.* (2018). Retrieving ocean subsurface temperature using a satellite‐based geographically weighted regression model. Journal of Geophysical Research: Oceans, 123, 5180-5193.
Qiu, J., Yang, J., Wang, Y.*, & Su, H. (2018). A comparison of NDVI and EVI in the DisTrad model for thermal sub-pixel mapping in densely vegetated areas: A case study in Southern China. International Journal of Remote Sensing, 39, 2105-2118.
张明慧, 苏华*, & 季博文 (2018). MODIS 时序影像的福建近岸叶绿素 a 浓度反演. 环境科学学报, 38, 4831-4839.
贾亮亮, 汪小钦*, 苏华, & 王峰 (2018). 台湾岛高分一号卫星 WFV 数据气溶胶反演与验证. 环境科学学报, 38, 1117-1127.
2017:
Su, H., Wu, X., Lu, W., Zhang, W., & Yan, X.-H.* (2017). Inconsistent subsurface and deeper ocean warming signals during recent global warming and hiatus. Journal of Geophysical Research: Oceans, 122, 8182-8195.
Su, Y., Chen, X.*, Su, H.*, Liu, L., & Liao, J. (2017). Digitizing the thermal and hydrological parameters of land surface in subtropical China using AMSR-E brightness temperatures. International Journal of Digital Earth, 10, 687-700.
黎文娥, 苏华*, 汪小钦, & 严晓海 (2017). 多源卫星观测的全球海洋次表层温度异常信息提取. 遥感学报, 21, 881-891.
苏华, 李静, 陈修治*, 廖吉善, & 温达志 (2017). 基于森林群落和光谱曲线特征分异的福建省森林生物量遥感反演. 生态学报, 37, 5742-5755.
2012~2015:
Su, H., Wu, X., Yan, X.-H.*, & Kidwell, A. (2015). Estimation of subsurface temperature anomaly in the Indian Ocean during recent global surface warming hiatus from satellite measurements: A support vector machine approach. Remote Sensing of Environment, 160, 63-71.
Su, H., Wang, Y.*, Xiao, J., & Yan, X.-H. (2015). Classification of MODIS images combining surface temperature and texture features using the Support Vector Machine method for estimation of the extent of sea ice in the frozen Bohai Bay, China. International Journal of Remote Sensing, 36, 2734-2750.
Su, H., Wang, Y.*, Xiao, J., & Li, L. (2013). Improving MODIS sea ice detectability using gray level co-occurrence matrix texture analysis method: A case study in the Bohai Sea. ISPRS Journal of Photogrammetry and Remote Sensing, 85, 13-20.
Xu, K., Wang, Y.*, Su, H., Yang, J., Li, L., & Liu, C. (2013). Effect of land‐use changes on nonpoint source pollution in the Xizhi River watershed, Guangdong, China. Hydrological Processes, 27, 2557-2566.
Su, H., & Wang, Y.* (2012). Using MODIS data to estimate sea ice thickness in the Bohai Sea (China) in the 2009–2010 winter. Journal of Geophysical Research: Oceans, 117.
Su, H., Wang, Y.*, & Yang, J. (2012). Monitoring the spatiotemporal evolution of sea ice in the Bohai Sea in the 2009–2010 winter combining MODIS and meteorological data. Estuaries and Coasts, 35, 281-291.
l 国际国内学术组织任职：
1）2023-至今，电气电子工程师学会（IEEE）高级会员
2）2023-至今，The Innovation青年编委
3）2024-至今，Chinese Geographical Science青年编委
4）2023-至今，Remote Sensing专题顾问委员、客座编辑
5）2017-至今，福建省遥感学会副秘书长
6）2021-至今，国际数字地球学会数字海洋专业委员会委员
7）2022-至今，中国测绘学会大数据与人工智能工委会委员
8）2022-至今，中国海洋学会人工智能海洋学专业委员会委员
9）2023-至今，中国地理信息产业协会海洋时空信息工委会委员
l 组织国际国内会议与学术报告：
1）2021首届可持续发展大数据国际论坛，组委会委员
2）2021首届亚洲青年地理学家研讨会，分会主席
3）2023第三届可持续发展大数据国际论坛，分会主席
4）2023第五届中国湿地遥感大会，分会主席
5）2023 IEEE IGARSS，科学委员会成员、分会主席
6）2024 IEEE IGARSS，科学委员会成员、分会主席
7）2017 AGU Fall Meeting，口头报告
8）2019 IEEE IGARSS，口头报告
9）2021 ACM SpatialDI，特邀报告
10）2021 CPGIS，特邀报告
11）2023首届全国海岸带遥感大会，特邀报告
12）2023第二届人工智能海洋学论坛，特邀报告
13）2023首届全国信息地理学大会，口头报告
14）2024第九届青年地学论坛，分会主席
15）2024 IEEE“一带一路”人工智能可持续发展大会，分会主席
16）2021地球大数据促进可持续发展目标监测和评估成果展，“全球变化导致海洋加速变暖”成果受邀参展
17）2023地球观测组织（GEO）第六次部长级峰会，“深海遥感与海洋增暖”成果受邀参展（全国仅22个亮点成果参展）
18）2024第二届全国海岸带遥感大会，分会主席
19）2024第一届人工智能与遥感学术交叉研讨会（AIRS-2024），工作组成员