熊振华

发布者:陈磊发布时间:2026-09-04浏览次数:10

姓名:

熊振华

性别:

职称:

讲师

学位:

博士

电话:


传真:


Email

xiongzh@ecut.edu.cn

邮编:

330013

地址:

江西省南昌市经开区广兰大道418

简   历:

熊振华,19961月生,江西南昌人,东华理工大学地球与行星科学学院讲师,硕士研究生导师,英国曼彻斯特大学联合培养博士,主要从事遥感灾害监测与全球气候变化、生态遥感、深度学习与GIS应用开发方向,已在TGRSIJDEJAG等期刊发表论文十余篇。

学习经历:

·2021.9–2025.6,中山大学地图学与地理信息系统专业博士研究生

·2024.4–2024.11,英国曼彻斯特大学,联合培养博士

·2018.9–2021.6,江西理工大学地图学与地理信息系统专业硕士研究生

·2014.9–2018.6,江西理工大学地理信息科学专业,本科

工作经历:

·20258-至今东华理工大学,地球与行星科学学院旅游地学系,讲师

研究方向:

·遥感灾害监测与气候变化

·生态遥感

·深度学习

招生专业:

·0705地理学

·0857资源与环境

·0853城乡规划

教授课程:

1.AI地学建模》、2.《景观生态学》、3.《中国地理》

承担科研项目情况:

主持项目:

1.江西省职业早期青年科技人才培养项目,2026/1-2031/1月,20

2.东华理工大学博士启动基金项目,2026/6-2031/6月,20

3.南昌市水文地质与优质地下水资源开发利用重点实验室开放基金,2026/5-2028/5月,5

4.松材线虫无人机遥感影像采集项目,2026/1-2026/9月,5

代表论著:

(1)Zhenhua Xiong, Zhicheng Zhang, Qinchuan Xin et al., A meteorology-driven Transformer network to predict soil moisture for agriculture drought forecasting, IEEE Transactions on Geoscience and Remote Sensing,2025.

(2)Zhenhua Xiong, Zhicheng Zhang, Hanliang Gui et al., Predicting time series of vegetation leaf area index across North America based on climate variables for land surface modeling using attention-enhanced LSTM, International Journal of Digital Earth,2024.

(3)Zhenhua Xiong, Hengkai Li et al., Urban Road Speed Prediction Based on the Bidirectional LSTM Considering Multisource Feature Fusion, Advances in Transportation Studies, 2021.

(4)Zhenhua Xiong, Qinchuan Xin et al., A meteorology-driven LSTM for predicting time series of vegetation leaf area index in land surface model, IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023.

(5)Zhenhua Xiong, Qinchuan Xin et al., A Transformer-based Model To Predict Surface Soil Moisture Using Meteorological Variables For Ecosystem Process Model, AGU Fall Meeting, Francisco, CA, USA,2023.

(6)熊振华, 李恒凯, 融合多特征神经网络的城市道路速度预测研究,测绘科学,2020.

(7)Zhicheng Zhang, Zhenhua Xiong, Xuewen Zhou, Wei Wu, Qinchuan Xin, Ruohan Wu, Reconstructing 500-m NDVI time series since 1984 using a target self-attention spatiotemporal fusion model,International Journal of Applied Earth Observation and Geoinformation, 2026.

(8)Zhang Zhicheng, Zhenhua Xiong et al., A land-cover-assisted super-resolution model for retrospective reconstruction of MODIS-like NDVI data across the contiguous United States by blending Landcover300m and GIMMS NDVI3g data. Ecological Indicators, 2025.

(9)Xiaoyou Chen, Zhenhua Xiong et al., Climate-driven spatiotemporal dynamics and exposure risks of global soil moisture drought–flood abrupt alternation events. Environmental and Sustainability Indicators, 2026.

(10) Hanliang Gui, Jia Sun, Zhenhua Xiong, Wei Wu, Qinchuan Xin, Peng Zhu, Xuewen Zhou, Yujie Li & Xiaoyou Chen, Explaining annual gross primary productivity through climatic variables by integrating key vegetation functional traits, Journal of Forestry Research,2026.

(10)Hanliang Gui, Qinchuan Xin, Xuewen Zhou, Wei Wu, Zhenhua Xiong. Better representation of vegetation phenology improves estimations of annual gross primary productivity, Ecological Informatics, 2024.

(11)Hanliang Gui, Qinchuan Xin, Xuewen Zhou, Zhenhua Xiong, Kun Xiao, Embedding a novel phenology model into the Common Land Model for improving the modeling of land-atmosphere fluxes, Ecological Modelling, 2024.

(12)Kun Xiao, Ying Sun, Wei Wu, Xuewen Zhou, Zhicheng Zhang, Qiuyao Lai, Chen Huang, Zhenhua Xiong, Qinchuan Xin, Quantifying the contribution of triple compound extreme events to global yield loss of major staple crops from 1982 to 2016, Journal of Integrative Agriculture, 2024.

(13)Hanliang Gui, Qinchuan Xin ,Xuewen Zhou, Ying Sun, Yongjian Ruan, Wei Wu, Zhenhua Xiong, Yuhang Tian, Kun Xiao, Developing and evaluating satellite-derived phenology and physiology indicators for modeling annual gross primary productivity variability, Forest Ecosystems, 2025.

(14)软件著作权(排第一):《理工印象:校园三维应用系统 V1.0》,(2017SR217265)

(15)软件著作权(排第一):《中国物候监测系统1.0》,(2022SR1406475)