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郭旭超，郝霞，姚晓闯，李林*. 2023. 农业病虫害知识问答意图识别与槽位填充联合模型研究[J].农业机械学报，54(01):205-215
赵龙，李国庆，姚晓闯*，马跃. 2023. 正二十面体六边形全球离散格网编码运算[J].地球信息科学学报，25(02):239-251
Xiong, Q.; Li, G.*; Yao, X.; Zhang, X. 2023. SAR-to-Optical Image Translation and Cloud Removal Based on Conditional Generative Adversarial Networks: Literature Survey, Taxonomy, Evaluation Indicators, Limits and Future Directions. Remote Sens. 15, 1137
Yao, X.*; Yu, G.; Li, G.; Yan, S.; Zhao, L.; Zhu, D. 2023, HexTile: A Hexagonal DGGS-Based Map Tile Algorithm for Visualizing Big Remote Sensing Data in Spark. ISPRS Int. J. Geo-Inf. 12, 89
冯权，任燕，姚晓闯*，牛博文，陈泊安，赵圆圆. 2023. 基于多源光学雷达数据融合的黄淮海平原冬小麦识别[J].农业机械学报，54(2):160-168
Zhao L., Li G., Yao X.*, Ma Y., Cao Q. 2022. An optimized hexagonal quadtree encoding and operation scheme for icosahedral hexagonal discrete global grid systems, International Journal of Digital Earth, 1-26
冯权泷，陈泊安，李国庆，姚晓闯*，高秉博，张连翀. 2022. 遥感影像样本数据集研究综述, 遥感学报, 26(4): 589-605
Yu G., Z Xie, Li X., Wang Y., Huang J., Yao X. 2022. The Potential of 3-D Building Height Data to Characterize Socioeconomic Activities: A Case Study from 38 Cities in China, Remote Sensing 14 (9), 2087
Wang K., Ye S., Gao P., Yao X., Zhao Z. 2022. Optimization of Numerical Methods for Transforming UTM Plane Coordinates to Lambert Plane Coordinates, Remote Sensing 14 (9), 2056
Wang H., Zhang C., Yao X., Yun W., Ma J., Gao L., Li P. 2022. Scenario simulation of the tradeoff between ecological land and farmland in black soil region of Northeast China, Land Use Policy 114, 105991
Zhang, Y., Yin, P., Li, X., Niu, Q., Wang, Y., Cao, W., Huang, J., Chen, H., Yao, X., Yu, L., Li, B. 2022. The divergent response of vegetation phenology to urbanization: A case study of Beijing city, China. Science of the Total Environment, 803, 150079.
Cao, Q.; Li, G.; Yao, X.*; Ma, Y. 2022. China Data Cube (CDC) for Big Earth Observation Data: Practices and Lessons Learned. Information，13, 407.
Cao, Q.; Li, G.; Yao, X.*; Jia, T.; Yu, G.; Zhang, L.; Xu, D.; Zhang, H.; Shan, X. GF-1 Satellite Imagery Data Service and Application Based on Open Data Cube. Appl. Sci. 12, 7816.
Wang, S.; Wang, J.; Zhan, Q.; Zhang, L.; Yao, X.; Li G. 2022. A unified representation method for interdisciplinary spatial earth data. Big Earth Data, 1-15.
Tang X., Yao, X.*, Liu D., Zhao L., Li L., Zhu D., Li G. 2021. A Ceph-based storage strategy for big gridded remote sensing data, Big Earth Data, 1-17
Yan, S.; Yao, X.*; Zhu, D.; Liu, D.; Zhang, L.; Yu, G.; Gao, B.; Yang, J.; Yun, W. 2021. Large-scale crop mapping from multi-source optical satellite imageries using machine learning with discrete grids. International Journal of Applied Earth Observation and Geoinformation, 103, 102485.
Yan, S.; Xu L.*; Yu, G.; Yang, L.; Yun, W.; Zhu, D.; Ye, S.; Yao, X.*. 2021. Glacier classification from Sentinel-2 imagery using spatial-spectral attention convolutional model. International Journal of Applied Earth Observation and Geoinformation, 102, 102445.
Zhao, L.; Li, G.; Yao, X.*; Cao, Q.; Ma, Y. 2021. Comparison and Analysis of Hexagonal Discrete Global Grid Coding. SpatialDI 2021, Lecture Notes in Computer Science, vol 12753.
Yao, X.; Lu, S.; Gu, J.; Zhang L.; Yang J.; Fan C.; Li, L. 2021. A locust remote sensing monitoring system based on dynamic model library. Computers and Electronics in Agriculture, 186, 106218.
Zhang, T.; Du, Z.; Yang, J.; Yao, X.*; Ou, C.; Niu, B.; Yan, S. 2021. Land Cover Mapping and Ecological Risk Assessment in the Context of Recent Ecological Migration. Remote Sens. 13, 1381.
Ma, Y.; Li, G.; Yao, X.*; Cao, Q.; Zhao, L.; Wang, S.; Zhang, L. 2021. A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids. ISPRS Int. J. Geo-Inf. 10, 194.
冯权泷，牛博文，朱德海，姚晓闯，刘逸铭，欧聪，陈泊安，杨建宇，郭浩，刘建涛. 2021. 2019年全国农业塑料大棚遥感分类数据集, 中国科学数据，1-18.
Xiong, Q.; Di, L.; Feng, Q.; Liu, D.; Liu, W.; Zan, X.; Zhang, L.; Zhu, D.; Liu, Z.; Yao, X.; Zhang, X. Deriving Non-Cloud Contaminated Sentinel-2 Images with RGB and Near-Infrared Bands from Sentinel-1 Images Based on a Conditional Generative Adversarial Network. Remote Sens. 2021, 13, 1512
Yao, X.*; Li, G.; Xia, J.; Ben, J.; Cao, Q.; Zhao, L.; Ma, Y.; Zhang, L.; Zhu, D. 2020. Enabling the Big Earth Observation Data via Cloud Computing and DGGS: Opportunities and Challenges. Remote Sens.12, 62.
Xiong, Q.; Zhang, X.; Liu, W.; Ye, S.; Du, Z.; Liu, D.; Zhu, D.; Liu, Z.; Yao, X.*. An Efficient Row Key Encoding Method with ASCII Code for Storing Geospatial Big Data in HBase. ISPRS Int. J. Geo-Inf. 2020, 9, 625.
Xiong, Q.; Wang, Y.; Liu, D.; Ye, S.; Du, Z.; Liu, W.; Huang, J.; Su, W.; Zhu, D.; Yao, X.*; Zhang, X. 2020. A Cloud Detection Approach Based on Hybrid Multispectral Features with Dynamic Thresholds for GF-1 Remote Sensing Images. Remote Sens. 12, 450.
Zhou, J.; Ben, J.; Wang, R.;, Zheng, M.; Yao, X.; Du, L.; 2020. A novel method of determining the optimal polyhedral orientation for discrete global grid systems applicable to regional-scale areas of interest, International Journal of Digital Earth, 1-17
Xiong, Q., Yao, X., Liu, W., Diyou, L. I. U., Ye, S., Zhang, X. & Liu, Z. 2019. STHBase: Spatio-temporal Organization framework Based on HBase for Geospatial Big Data. In AGU Fall Meeting 2019. AGU.
Pang, L., Li, G., Yao, X., Lai, Y. 2019. An Incentive Mechanism Based on a Bayesian Game for Spatial Crowdsourcing. IEEE Access, 7, pp. 14340-14352.
Wang, S.; Li, G.; Yao, X.; Zeng, Y.; Pang, L.; Zhang, L. 2019, A Distributed Storage and Access Approach for Massive Remote Sensing Data in MongoDB. ISPRS Int. J. Geo-Inf. 8, 533.
Yao, X., Mokbel, M.F., Ye, S., Li, G., Alarabi, L., Eldawy, A., Zhao, Z., Zhao, L., Zhu, D. 2018. LandQv2: A MapReduce-based system for processing arable land quality big data. ISPRS International Journal of Geo-Information, 7 (7).
Yao, X., Liu, Y., Cao, Q., Li, J., Huang, R., Woodcock, R., Paget, M., Wang, J., Li, G. 2018. China Data Cube for Big Earth Observation Data: Lessons Learned from the Design and Implementation BGDDS 2018 - 2018 International Workshop on Big Geospatial Data and Data Science, Wuhan.
Yao, X., Li, G. 2018. Big spatial vector data management: A review. Big Earth Data, 2, pp. 108-129.
姚晓闯, 杨建宇, 李林, 叶思菁, 郧文聚, 朱德海. 2018. "云环境下空间矢量大数据并行化划分算法", 武汉大学学报·信息科学版, 43 (7), pp. 1092-1097.
姚晓闯, 2018. "矢量大数据管理关键技术研究", 测绘学报, 47 (3), p. 423.
Ye, S., Liu, D., Yao, X., Tang, H., Xiong, Q., Zhuo, W., Du, Z., Huang, J., Su, W., Shen, S., Zhao, Z., Cui, S., Ning, L., Zhu, D., Cheng, C. 2018. RDCRMG: A raster dataset clean & reconstitution multi-grid architecture for remote sensing monitoring of vegetation dryness. Remote Sensing, 10 (9).
Zhao, Z., Zhe, L., Zhang, X., Zan, X., Yao, X., Wang, S., Zhu, D. 2018. Spatial layout of multi- environment test sites: A case study of maize in Jilin Province. Sustainability, 10 (5).
Yao, X., Mokbel, M.F., Alarabi, L., Eldawy, A., Yang, J., Yun, W., Li, L., Ye, S., Zhu, D. 2017. Spatial coding-based approach for partitioning big spatial data in Hadoop. Computers and Geosciences, 106, pp. 60-67.
Yao, X., Zhu, D., Yun, W., Li, L. 2017. A WebGIS-based decision support system for locust prevention and control in China. Computers and Electronics in Agriculture, 140, pp. 148-158.
Yao, X., Yang, J., Li, L., Yun, W., Zhao, Z., Ye, S., Zhu, D. 2017. LandQv1: A GIS cluster-based management information system for arable land quality big data. 2017 6th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2017.
Zhao, Z., Zhang, X., Liu, Z., Yao, X., Li, S., Zhu, D. 2017. Spatial sampling of multi-environment trials data for station layout of maize variety. 2017 6th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2017.
Yao, X., Zhu, D., Ye, S., Yun, W., Zhang, N., Li, L. 2016. A field survey system for land consolidation based on 3S and speech recognition technology. Computers and Electronics in Agriculture, 127, pp. 659-668.
张超, 张海峰, 杨建宇, 姚晓闯, 赵龙, 朱德海, 2016. "网格环境下县域基本农田建设研究," 农业机械学报. 47 (11), pp. 245-251.
Ye, S., Zhu, D., Yao, X., Zhang, X., Li, L. 2016. Developing a mobile GIS-based component to collect field data. 2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016.
Ye, S., Yan, T., Yue, Y., Lin, W., Li, L., Yao, X., Mu, Q., Li, Y., Zhu, D.-H. 2016. Developing a reversible rapid coordinate transformation model for the cylindrical projection. Computers and Geosciences, 89, pp. 44-56.
叶思菁, 朱德海, 姚晓闯, 岳彦利, 黄健熙, 李林, 2015. "基于移动GIS的作物种植环境数据采集技术," 农业机械学报. vol. 46, pp. 325-334.
Zhao, M., Qin, J., Li, S., Liu, Z., Cao, J., Yao, X., Ye, S., Li, L. 2015. An automatic counting method of maize ear grain based on image processing. IFIP Advances in Information and Communication Technology, 452, pp. 521-533.
Yao, X., Zhu, D., Ye, S., Zhang, N., Li, L. 2014. Spatial interpolation methods study based on geostatistics for the grasshopper population. Sensor Letters, 12 (3-5), pp. 645-650.
Ye, S., Zhu, D., Yao, X., Zhang, N., Fang, S., Li, L. 2014. Development of a highly flexible mobile GIS-based system for collecting arable land quality data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7 (11), pp. 4432-4441.
Li, L., Zhu, D., Ye, S., Yao, X., Li, J., Zhang, N., Han, Y., Zhang, L. 2014. Design and implementation of geographic information systems, remote sensing, and global positioning system-based information platform for locust control. Journal of Applied Remote Sensing, 8 (1).
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