农业遥感 土地覆盖分类与土地利用变化 地理大数据挖掘与分析

教育经历
2008.09-2012.06    华中农业大学资源与环境学院，地理信息系统专业，学士
2012.09-2018.06    中国农业科学院农业资源与农业区划研究所，农业遥感，博士，导师：唐华俊（院士）/吴文斌（研究员）
2016.10-2018.01    美国波士顿大学（Boston University）地球与环境系联合培养博士，导师:Mark A. Friedl 教授

1. Tian Xia, Zhen He, Zhiwen Cai, Cong Wang, Wenjing Wang, Jiayue Wang, Qiong Hu*, Qian Song. Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes. International Journal of Applied Earth Observations and Geoinformation. 2022, 107, 102702.
2. Qiong Hu, He Yin, Mark A. Friedl, Liangzhi You, Zhaoliang Li, Huajun Tang and Wenbin Wu*. Integrating coarse-resolution images and agricultural statistics to generate sub-pixel crop type maps and reconciled area estimates. Remote Sensing of Environment, 2021, 258, 112365.
3. Qiong Hu, Mingtao Xiang*, Di Chen, Jie Zhou, Wenbin Wu and Qian Song*. Global cropland intensification surpassed expansion between 2000 and 2010: A spatio-temporal analysis based on GlobeLand30. Science of the Total Environment. 2020, 746, 141035.
4. Qiong Hu, Jingya Yang, Baodong Xu*, Jianxi Huang et al.Evaluation of Global Decametric-resolution LAI, FAPAR and FVC Estimates Derived from Sentinel-2 Imagery. Remote Sensing. 2020, 12, 912.
5. Qiong Hu, Wenbin Wu,* Qiangyi Yu, et al. Extending the pairwise separability index for multi-crop identification using time-series MODIS images. IEEE Transactions on Geoscience and Remote Sensing. 2016, 54(11), 6349-6361.
6. Qiong Hu, Damien Sulla-Menasheb, He Yin, Wenbin Wu*. A phenology-based spectral and temporal feature selection method for crop mapping from satellite time series. International Journal of Applied Earth Observations and Geoinformation. 2019, 80, 218-229.
7. Qiangyi Yu，Qiong Hu, Jasper van Vliet, et al. GlobeLand30 shows little cropland area loss but greater fragmentation in China. International Journal of Applied Earth Observations and Geoinformation. 2017, 66, 37-45. (共同第一)
8. Qiong Hu, Wenbin Wu*, Tian Xia, et al. Exploring the use of Google Earth imagery and object-based method in land use/cover mapping. Remote Sensing. 2013, 5, 6026-6042.
9. Qiong Hu, Yaxiong Ma, Wenbin Wu* and Qian Song. A satellite-based geographically weighted regression model for estimating sub-pixel soybean fraction in Heilongjiang Province, China. Remote Sensing. 2018, 10, 491.
10. Qiong Hu, Wenbin Wu*, Huajun Tang, et al. How do temporal and spectral features matter in crop classification? Journal of Integrative Agriculture. 2016, 16, 324-336.

1. 第六届中国科协青年人才托举工程计划，YESS2020014，农作物遥感制图方法研究，2021.01-2023.12，45万，主持.
2. 国家自然科学基金青年项目，41901380，协同VIIRS时序遥感影像与统计数据的农作物丰度提取方法研究，2020.01-2022.12，25万，主持.
3. 中央高校基本科研业务费专项资金项目，CCNU20QN032，面向地块的农作物遥感精细制图方法研究，2020.1-2021.12，10万，主持.
4. 中央高校基本科研业务费专项资金项目，CCNU18XJ032，基于多源遥感数据协同的湖北省稻虾田种植面积时空演变研究，5万，2018.10-2020.10，主持.
5. 测绘地理信息公益性行业科研专项项目，201512028，全球地表覆盖数据分析，2015.01-2017.12，87万元，已结题，参加.

1. 吴文斌，胡琼，宋茜，陆苗，杨鹏等. 农业土地系统遥感制图. 2020，科学出版社.