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崔要奎
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科研论文

主要学术论文
完整论文列表请见:https://www.researchgate.net/profile/Yaokui-Cui

2024年

27. Zhaoyuan Yao, Wangyipu Li, Yaokui Cui*, 2024, "A_OPTRAM-ET: An automatic optical trapezoid model for evapotranspiration estimation and its global-scale assessments." ISPRS Journal of Photogrammetry and Remote Sensing, 218: 181-197https://doi.org/10.1016/j.isprsjprs.2024.10.019

26. Zhihao Wei, Yaokui Cui*, Sien Li, Xuhui Wang, Jinwei Dong, Lifeng Wu, Zhaoyuan Yao, Shangjin Wang, Wenjie Fan, 2024, "A novel two-step framework for mapping fraction of mulched film based on very high resolution satellite observation and deep learning." IEEE Transactions on Geoscience and Remote Sensing, https://doi.org/10.1109/TGRS.2024.3382352

25. Wangyipu Li, Zhaoyuan Yao, Xiaoduo Pan, Zhihao Wei, Bo Jiang, Jing Wang, Ming Xu, Yaokui Cui*, 2024, "A ground-independent method for obtaining complete time series of in situ evapotranspiration observations." Journal of Hydrology, 632:130888,  https://doi.org/10.1016/j.jhydrol.2024.130888

2023年

24. Haichao Yu, Yaokui Cui*, Sien Li*, Shaozhong Kang; Zhaoyuan Yao; Zhihao Wei, 2023, “Estimation of the deep drainage for irrigated cropland based on satellite observations and deep neural networks.” Remote Sensing of Environment, 298(1): 113819. https://doi.org/10.1016/j.rse.2023.113819

23. Yingying Gai, Xunjian Long, Zhihao Wei, Xinxin Sui, Bo Jiang, Xi Chen, Dingfeng Yu, Shengguang Qin, Yaokui Cui*, 2023, “Toward a better understanding of uncertainty for satellite precipitation products over complex terrain with sparse rain gauge.” Atmospheric Research, 288: 106742. https://doi.org/10.1016/j.atmosres.2023.106742

22. 姚照原, 马磊, 万玮, 宋本钦, 王卫红, 邓继伟, 肖蕾, 冀锐, 魏之皓, 崔要奎*, 2023, “基于深度学习的遥感样本库一致性评估.” 北京大学学报(自然科学版), 59(4): 563–568. http://dx.doi.org/10.13209/j.0479-8023.2022.116


2022

21. Zekun Yang, Xi Chen, Yaokui Cui*, Feng Lv, Zhaoyuan Yao, Sien Li, Lifeng Wu, Junliang Fan, Xiaozhuang Geng, Wenjie Fan, 2022, “Fusing active and passive remotely sensed soil moisture products using an improved double instrumental variable method.” IEEE Transactions on Geoscience and Remote Sensing, 60: 1–13. https://doi.org/10.1109/TGRS.2022.3207753

20.  Zhaoyuan Yao, Yaokui Cui*, Xiaozhuang Geng, Xi Chen, Sien Li, 2022, “Mapping irrigated area at field scale based on the optical TRApezoid Model (OPTRAM) using landsat images and google earth engine.” IEEE Transactions on Geoscience and Remote Sensing, 60: 1–11. https://doi.org/10.1109/TGRS.2022.3148274

19. Siqi Yang, Jiangyuan Zeng, Wenjie Fan, Yaokui Cui*, 2022, “Evaluating root-zone soil moisture products from GLEAM, GLDAS, and ERA5 based on in situ observations and triple collocation method over the Tibetan Plateau.” Journal of Hydrometeorology, 23(12): 1861-1878. https://doi.org/10.1175/JHM-D-22-0016.1

18. Xiaozhuang Geng, Boyang Li, Xiaoduo Pan, Zhihao Wei, Xuebin Yang, Kuo Liao, Yaokui Cui*, 2022, “Generating hourly continuous evapotranspiration using Fengyun-2F geostationary satellite data.” Earth and Space Science, 9(3): e2021EA002090. https://doi.org/10.1029/2021EA002090

17. Xiaozhuang Geng, Huan Li*, Zhaoyuan Yao, Xi Chen, Zekun Yang, Sien Li, Lifeng Wu, Yaokui Cui*, 2022, “Potential of ANN for prolonging remote sensing-based soil moisture products for long-term time series analysis.” IEEE Geoscience and Remote Sensing Letters, 19: 1–5. https://doi.org/10.1109/LGRS.2021.3140113

16. Xunjian Long, Yaokui Cui*, 2022, “Spatially downscaling a global evapotranspiration product for end user using a deep neural network: A case study with the GLEAM product.” Remote Sensing, 14. https://doi.org/10.3390/rs14030658

15. Zhihao Wei, Xunjian Long, Yingying Gai, Zekun Yang, Xinxin Sui, Xi Chen, Guangyuan Kan, Wenjie Fan, Yaokui Cui*, 2022, “Evaluating remote sensing precipitation products using double instrumental variable method.” IEEE Geoscience and Remote Sensing Letters, 19: 1–5. https://doi.org/10.1109/LGRS.2022.3192644


2021

14. Yaokui Cui*, Li Jia, Wenjie Fan, 2021, “Estimation of actual evapotranspiration and its components in an irrigated area by integrating the Shuttleworth-Wallace and surface temperature-vegetation index schemes using the particle swarm optimization algorithm.” Agricultural and Forest Meteorology, 307: 108488. https://doi.org/10.1016/j.agrformet.2021.108488

13. Yaokui Cui and Li Jia*, 2021, “Estimation of evapotranspiration of “soil-vegetation” system with a scheme combining a dual-source model and satellite data assimilation.” Journal of Hydrology, 603: 127145. https://doi.org/10.1016/j.jhydrol.2021.127145

12. Yaokui Cui*, Lisheng Song*, Wenjie Fan, 2021, “Generation of spatio-temporally continuous evapotranspiration and its components by coupling a two-source energy balance model and a deep neural network over the Heihe River Basin.” Journal of Hydrology, 597: 126176. https://doi.org/10.1016/j.jhydrol.2021.126176

11.  Huan Li, Zengliang Luo, Yue Xu, Siyu Zhu, Xi Chen, Xiaozhuang Geng, Lei Xiao, Wei Wan*, Yaokui Cui*, 2021, “A remote sensing-based area dataset for approximately 40 years that reveals the hydrological asynchrony of Lake Chad based on Google Earth Engine.” Journal of Hydrology, 603: 126934. https://doi.org/10.1016/j.jhydrol.2021.126934

10. Boyang Li, Yaokui Cui*, Xiaozhuang Geng, Huan Li, 2021, “Improving the evapotranspiration estimation under cloudy condition by extending the Ts-VI triangle model.” Remote Sensing, 13(8): 1516. https://doi.org/10.3390/rs13081516

9. 胡玲, 孙聪, 范闻捷, 刘海江, 任华忠, 崔要奎*, 2021, “二十年来防风固沙重点生态功能区植被动态分析”, 生态学报41(21): 8341–8351. http://dx.doi.org/10.5846/stxb202101270288


    2020

8.  Yaokui Cui*, Xuebin Yang; Xi Chen, Wenjie Fan, Chao Zeng, Wentao Xiong, Yang Hong*, 2020, “A two-step fusion framework for quality improvement of a remotely sensed soil moisture product: A case study for the ECV product over the Tibetan Plateau.” Journal of Hydrology, 587: 124993. https://doi.org/10.1016/j.jhydrol.2020.124993

7. Yaokui Cui*, Chao Zeng, Xi Chen, et al., 2020, “A new fusion algorithm for simultaneously improving spatio-temporal continuity and quality of remotely sensed soil moisture over the Tibetan Plateau.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 83–91. https://doi.org/10.1109/JSTARS.2020.3043336

6. Yaokui Cui*, Xi Chen, Wentao Xiong, et al., 2020, “A soil moisture spatial and temporal resolution improving algorithm based on multi-source remote sensing data and GRNN model.” Remote Sensing, 12(3): 455. https://doi.org/10.3390/rs12030455

5. Yaokui Cui*, Shihao Ma; Zhaoyuan Yao, et al., 2020, “Developing a gap-filling algorithm using DNN for the Ts-VI triangle model to obtain temporally continuous daily actual evapotranspiration in an arid area of China.” Remote Sensing, 12(7): 1121. https://doi.org/10.3390/rs12071121


2019

4. Yaokui Cui*, Chao Zeng, Jie Zhou, et al., 2019, “A spatio-temporal continuous soil moisture dataset over the Tibet Plateau from 2002 to 2015.” Scientific Data, 6(1): 247. https://doi.org/10.1038/s41597-019-0228-x


2018

3. Yaokui Cui, Xi Chen, Jinyu Gao, et al., 2018, “Global water cycle and remote sensing big data: overview, challenge, and opportunities.” Big Earth Data, 2(3): 282–297. https://doi.org/10.1080/20964471.2018.1548052


2016

2. Yaokui Cui, Di Long*, Yang Hong*, et al., 2016, “Validation and reconstruction of FY-3B/MWRI soil moisture using an artificial neural network based on reconstructed MODIS optical products over the Tibetan Plateau.” Journal of Hydrology, 543(2): 242–254. https://doi.org/10.1016/j.jhydrol.2016.10.005


2015


1. Yaokui Cui, Li Jia*, Guangcheng Hu et al., 2015, “Mapping of Interception Loss of Vegetation in the Heihe River Basin of China Using Remote Sensing Observations.” IEEE Geoscience and Remote Sensing Letters, 12(1): 23–27. https://doi.org/10.1109/LGRS.2014.2324635