Wu Mingquan, born in December 1983, is a Research Associate at Institute of Remote Sensing and Digital Earth of CAS. As a member of the Youth Innovation Promotion Association of CAS, she has been engaged in the research of spatial and temporal fusion of multi-source remote sensing data and application of remote sensing in monitoring crops. She has undertaken over 20 key projects as the Principal Investigator, which were either funded by NSFC, China High-resolution Earth Observation System Key Project, Program 863, or the National Key Technologies R & D Program of China, and had won her the National Award for Scientific and Technological Progress and some other awards given by CAS. She has also participated in another 9 key projects that were funded by ministries and provincial-level governments, including one project listed in the 973 Program. In 2012, she was conferred the Third Prize of National Award for the Outstanding Achievements of Scientific Research and Statistics (ranked No.3) by National Bureau of Statistics of China, and the Second Prize of the National Award for Scientific and Technological Progress (ranked No.1). Moreover, she has been named Outstanding Employee at Institute of Remote Sensing and Digital Earth of CAS twice.
Education
2011.9-2013.7. Doctor of Science in Cartography and GIS, Institute of Remote Sensing and Digital Earth of CAS. Supervisor: Niu Zheng (Research Fellow)
2007.7-2009.7. Joint Master degree program, Institute of Remote Sensing Applications of CAS. Supervisors: Niu Zheng (Research Fellow) and Wang Changyao (Research Fellow)
2006.9-2009.7. Master of Engineering, Cartography and Geographic Information Engineering, Taiyuan University of Technology. Supervisor: Prof. Qiao Yuliang
2002.9-2006.7. Bachelor of Engineering in Surveying and Mapping Engineering, Chongqing Jiaotong University.
Research Experience
2016.03 – Present Research Associate, Institute of Remote Sensing and Digital Earth of CAS, Multi-sensor Information Fusion and Agricultural Remote Sensing
2016.06 – 2016.12 Visiting Scholar, Southern Plains Agricultural Research Center of the US Department of Agriculture, Aerial Remote Sensing,
2011.03 – 2016.02 Assistant Research Scientist, Institute of Remote Sensing and Digital Earth of CAS, Multi-sensor Information Fusion and Agricultural Remote Sensing,
2009.07 – 2011.02 Research Assistant, Institute of Remote Sensing and Digital Earth of CAS, Multi-sensor Information Fusion and Agricultural Remote Sensing,
Research Areas: spatial and temporal fusion of multi-source remote sensing data and application of remote sensing in monitoring crops
Professional Title & Position: Research Associate
Major Research Projects
[1] 2017.01-2020.12, Principal Investigator of a project supported by the Youth Innovation Promotion Association of CAS, research grant: RMB￥ 80,000;
[2] 2014.07-2017.03, Second Investigator of China High-resolution Earth Observation System Key Project: Demonstration System for Sampling and Surveying Land Surface Parameters of Crops Based on the High-solution Earth Observation System, research grant: RMB￥ 1.45 0,000;
[3] Principal Investigator of a non-government-funded project: Production of NPP Data Products in Mentougou District of Beijing over the Past 10 Years, research grant: RMB￥ 35,000;
[4] Principal Investigator of a self-funded project: Spatial and Temporal Fusion of Multi-source Remote Sensing Data, research grant: RMB￥ 42,000;
[5] Principal Investigator of a non-government-funded project: Remote Sensing Data Processing and Geological Hazard Interpretation in Shizong County of Yunnan Province, research grant: RMB￥ 64,000;
[6] Principal Investigator of a non-government-funded project: Remote Sensing Data Processing and Geological Hazard Interpretation in Xunxun County of Yunnan Province, research grant: RMB￥ 100,000;
[7] Principal Investigator of a non-government-funded project: Remote Sensing Data Processing and Geological Hazard Interpretation in Jinggu County of Yunnan Province, research grant: RMB￥ 46,000;
Publications: Ms. Wu has published 48 academic papers in total, including 22 papers in the SCI-indexed journals (she is the lead author/communicating author of 14 papers, 2 of which were published in Q1 and 9 in Q2), and 13 papers in the EI journals (she is the lead author/communicating author of 9 papers).
Academic Papers
1. M. Wu, W. Huang, Z. Niu, C. Wang, W. Li, B. Yu, Validation of synthetic daily Landsat NDVI time series data generated by the improved spatial and temporal data fusion approach, Information Fusion, 40 (2018) 34-44. IF: 5.667, Q1
2. Mingquan Wu, Chaoyang Wu, Wenjiang Huang, Zheng Niu, Changyao Wang, Wang Li, Pengyu Hao. An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery. Information Fusion, 2016, 31, 14-25. IF: 4.353, Q1
3. Wu, M.; Yang, C.; Song, X.; Hoffmann, W.C.; Huang, W.; Niu, Z.; Wang, C.; Li, W. Evaluation of Orthomosics and Digital Surface Models Derived from Aerial Imagery for Crop Type Mapping. Remote Sens. 2017, 9, 239. IF: 3.244, Q2
4. Tian, H.; Li, W.; Wu, M. *; Huang, N.; Li, G.; Li, X.; Niu, Z. Dynamic Monitoring of the Largest Freshwater Lake in China Using a New Water Index Derived from High Spatiotemporal Resolution Sentinel-1A Data. Remote Sens. 2017, 9, 521. IF: 3.244, Q2
5. Wu, M.; Zhang, X.; Huang, W.; Niu, Z.; Wang, C.; Li, W.; Hao, P. Reconstruction of Daily 30 m Data from HJ CCD, GF-1 WFV, Landsat, and MODIS Data for Crop Monitoring. Remote Sens. 2015, 7, 16293-16314. IF: 3.180, Q2
6. Qiao, H.; Wu, M.*; Shakir, M.; Wang, L.; Kang, J.; Niu, Z. Classification of Small-Scale Eucalyptus Plantations Based on NDVI Time Series Obtained from Multiple High-Resolution Datasets. Remote Sens. 2016, 8, 117. IF: 3.180, Q2
7. M. Wu, W. Huang, Z. Niu, Y. Wang, C. Wang, W. Li, P. Hao, B. Yu, Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas, Computers and Electronics in Agriculture, 139 (2017) 1-9. IF: 2.201, Q2
8. Mingquan Wu, Chaoyang Wu, Wenjiang Huang, Zheng Niu and Changyao Wang. High-resolution Leaf Area Index estimation from synthetic Landsat data generated by a spatial and temporal data fusion model. Comput. Electron. Agric., 2015, 115, 1-11. IF: 1.761, Q2
9. Mingquan Wu, Wenjiang Huang, Zheng Niu and Changyao Wang. Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring. Int. J. Environ. Res. Public Health 2015, 12, 9920-9937. IF: 2.036, Q3
10. Mingquan Wu, Shakir Muhammad, Fang Chen, Zheng Niu and Changyao Wang. Combining remote sensing and eddy covariance data to monitor the gross primary production of an estuarine wetland ecosystem in East China. Environ. Sci.: Processes Impacts, 2015, 17, 753–762. IF: 2.171, Q3
11. Mingquan Wu, Hua Li, Wenjiang Huang, Zheng Niu and Changyao Wang. Generating daily high spatial land surface temperatures by combining Aster and MODIS land surface temperature products for environmental process monitoring. Environmental Science: Processes & Impacts, 2015, 17, 1396 – 1404. IF: 2.171, Q3
12. Mingquan Wu, Wenjiang Huang, Zheng Niu, Changyao Wang. Generating daily synthetic Landsat imagery by combining Landsat and MODIS data. Sensors, 2015, 15, 24002-24025. IF: 2.245, Q3
13. Wu Mingquan, Niu Zheng, Wang Changyao, Wu Chaoyang, Wang Li. Use of MODIS and Landsat time series data to generate high resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model. Journal of Applied Remote Sensing, 2012, 6, 1-8. IF: 1.183, Q4
14. Wu Mingquan, Wang Jie, Niu Zheng, Zhao Yongqing, Wang Changyao. A Model for Spatial and Temporal Data Fusion. Journal of Infrared and Millimeter Waves, 2012, 31(1):80-84. IF: 0.6, Q4
15. Li, W.; Niu, Z.; Chen, H.; Li, D.; Wu, M.; Zhao, W. Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system. Ecological Indicators 2016, 67, 637-648. IF: 3.190, Q2
16. Li, W.; Niu, Z.; Li, J.; Chen, H.; Gao, S.; Wu, M.; Li, D. Generating pseudo large footprint waveforms from small footprint full-waveform airborne lidar data for the layered retrieval of lai in orchards. Optics express 2016, 24, 10142-10156. IF: 3.148, Q2
17. Li, W.; Niu, Z.; Sun, G.; Gao, S.; Wu, M. Deriving backscatter reflective factors from 32-channel full-waveform lidar data for the estimation of leaf biochemical contents. Optics Express 2016, 24, 4771-4785. IF: 3.148, Q2
18. Yu, B.; Chen, F.; Li, B.; Wang, L.; Wu, M. Fire risk prediction using remote sensed products: A case of cambodia. Photogrammetric Engineering & Remote Sensing 2017, 83, 19-25. IF: 1.288, Q3
19. Yu, B.; Chen, F.; Muhammad, S.; Li, B.; Wang, L.; Wu, M. A simple but effective landslide detection method based on image saliency. Photogrammetric Engineering & Remote Sensing 2017, 83, 351-363. IF: 1.288, Q3
20. Hao, P.; Wang, L.; Zhan, Y.; Wang, C.; Niu, Z.; Wu, M. Crop classification using crop knowledge of the previous-year: Case study in southwest kansas, USA. European Journal of Remote Sensing 2016, 49, 1061-1077. IF: 3.180, Q4
21. Wang Li, Zheng Niu, Zengyuan Li, Cheng Wang, Mingquan Wu, Shakir Muhammad. Upscaling coniferous forest aboveground biomass based on airborne LiDAR and satellite ALOS PALSAR data. Journal of Applied Remote Sensing, 10 (4), 046003-046003 IF: 0.937, Q4
22. Wu Chaoyang, Wang Li, Niu Zheng, Gao Shuai1, Wu Mingquan. Nondestructive estimation of canopy chlorophyll content using Hyperion and Landsat/TM images [J]. International Journal of Remote Sensing, 2010,31: 8, 2159-2167. IF: 1.640, Q3
23. Tian Haifeng, Wu Mingquan, Niu Zheng, Wang Changyao, Zhao Xin. Dryland Crops Recognition Under Complex Planting Structure Based on Radarsat-2 Images. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(23): 154-159. (EI journal)
24. Liu Guodong, Wu Mingquan, Niu Zheng, et al. Investigation Method for Crop Area Using Remote Sensing Sampling Based on GF-1 Satellite Data. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(5): 160-166. (EI journal)
25. Wu Mingquan, Yang Liangchuang, Yu Bo, et al. Mapping Crops Acreages Based on Remote Sensing and Sampling Investigation by Multivariate Probability Proportional to Size. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(2): 146-152. (EI journal)
26. Mingquan Wu, Jie Wang. Downscaling MODIS data to generate dense time series synthetic Landsat data. ACRS 2013, SC02, 1167-1172. （EI）
27. Wu, M.; Wang, J.; Yao, N.; Hou, Z.; Wang, C. In Data quality evaluation of ZY-1 02c satellite, 6th Computer and Computing Technologies in Agriculture (CCTA), 2012; Springer: pp 187-195. (EI journal)
28. Wu, M.; Wang, C. In Spatial and temporal fusion of remote sensing data using wavelet transform, Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on, 2011; IEEE: pp 1581-1584. (EI journal)
29. Wu, M.; Niu, Z.; Wu, C.; Qiao, Y. In Simulate tm image from modis data, using linear mixture model, Multimedia Technology (ICMT), 2010 International Conference on, 2010; IEEE: pp 1-4. (EI journal)
30. Wu Mingquan, Wang Changyao, Niu Zheng. Mapping Paddy Fields in Large Areas Based on Time Series Multi-Sensors Data, Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(7): 240-244. (EI journal)
31. Wu Mingquan, Niu Zheng, Wang Changyao. Mapping Paddy Fields by Using Spatial and Temporal Remote Sensing Data Fusion Technology. Transactions of the Chinese Society of Agricultural Engineering, 2010, 26(Supp.2): 48－52. (EI journal)
32. Tian Haifeng, Wu Mingquan, Qin Yaochen, Niu Zheng. Remote Sensing Monitoring of City Expansion in Shangqiu and Yucheng. Henan Science, 2017, 05: 811-819.
33. Gao, S.; Niu, Z.; Wu, M.; Liu, C. In Estimating terrestrial vegetation primary productivity using satellite sar data, Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International, 2012; IEEE: pp 6467-6470. (EI journal)
34. Liu, L.; Zhou, Y.; Wang, L.; Hou, J.; Wu, M. In Urban wetland change detection using time-series remote sensing data, International Conference on Computer and Computing Technologies in Agriculture, 2012; Springer: pp 177-186. (EI journal)
35. Qiao Yuliang, Lian Yinzhuo, Wu Mingquan. Dynamical Analysis of Coal Resources Exploitation Based on the RS and GIS Data Fusion. Journal of China Coal Society, 2008.8, Vol.33, No.9. (EI journal)
36. Hao, P.; Wang, L.; Zhan, Y.; Niu, Z.; Wu, M. In Using historical ndvi time series to classify crops at 30m spatial resolution: A case in southeast kansas, Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International, 2016; IEEE: pp 6316-6319.
37. Wu Mingquan, Niu Zheng, Wang Changyao. Assessing the Accuracy of Spatial and Temporal Image Fusion Model of Complex Area in South China. Journal of Geo-information Science, 2014, 16 (5): 776-783.
38. Wu Mingquan, Niu Zheng, Gao Shuai, Xu Shiguang, Wang Lijuan. Land-source Sewage Outfalls Monitoring in Circum-Bohai Region Using Multi-scale Remote Sensing Data. Journal of Geo-information Science, 2012, 14(3): 405-410.
39. Wu Mingquan, Han Song, Zhao Yongqing, Niu Zheng. Quantitative Estimation of Chlorophyll-a and Total Suspended Matter Concentration with Landsat TM. Remote Sensing Information, 2012, 13(4): 25-29.
40. Wu Mingquan, Niu Zheng, Qiao Yuliang, Wu Zhaoyang. Aerosol Types and Its Affecting Factors over Beijing: Based on MODIS Data. Journal of Geo-information Science, 2009, 8, Vol.11, No.4:541-547.
41. Kang Jun, Wang Li, Niu Zheng, Gao Shuai, Wu Mingquan. A Spatial and Temporal Fusion Model Using Local Spatial Association Analysis Method. Remote Sensing Technology and Application, 2015, 30(6): 1176-1181.
42. Gao Shuai, Niu Zheng, Wu Mingquan. The Neural Network Algorithm for Estimating Plantation Forest Leaf Area Index based on ENVISAT/ASAR. Remote Sensing Technology and Application, 2013, 28(2), 205-211.
43. Qiao Yuliang, Wu Mingquan, Wang Dong. Analysis on Coal Resources Dynamic Monitoring Based on GIS — A Case Study of Xiangning County of Shanxi Province. Journal of Geo-information Science, 2008.5, Vol.10, No.3.
44. Pan Jianping, Wu Mingquan. Road Detection Based on Morphology. Computer Engineering and Applications, 2008, 44(11): 232-240.
45. Qiao Yuliang, Wu Mingquan, Lian Yinzhuo. Coal Resources Dynamic Monitoring System Based on GIS and RS. Hebei Remote Sensing, 2009.1.
46. Qiao Yuliang, Wu Mingquan. Application of Image Infusion Technology in Remote Sensing Detection of Mineral Resources. 2007 Symposium of GIS Theory and Method Professional Committee, China Association for Geospatial Information Society.
47. Qiao Yuliang, Wang Dong, Tang Juncheng, Wu Mingquan. Application of Remote Sensing Technology in Earthquake Relief. Hebei Remote Sensing, 2008(3): 15-16.
48. Shuai, G., Zheng, N., Lijuan, W., Li, W., Mingquan, W., Shiguang, X., Pengyu, H., and Xinlei, W. Solar-Laser double light source vegetation canopy model: construction and validation; proceedings of the Silvilaser 2012, Vancouver, F 16-19 September 2012, 2012 [C].
Patents
[1] Wu Mingquan, Wang Li. Hyperspectral Identification Method for Land Parcel-based Crop Variety, CN2010102725695A, 2014-04-16.
[2] Wu Mingquan, Niu Zheng. Method of Spatial-Temporal Fusion for Multi-source Remote Sensing Data. CN201210570294.2A, 2015-10-14.
[3] Wu Mingquan, Niu Zheng. Improved Multi-source Remote Sensing Data Space-time Fusion Method. CN201510099032.6A, 2017-07-07.
[4] Gao Shuai, Sun Gang, Niu Zheng, Wang Li, Huang Wenjiang, Wu Mingquan, Huang Ni, Zhan Yulin. A Kind of Leaf Area Volume Density Measurement Mechanism and Method, CN201310499198.8A.
[5] Niu Zheng, Sun Gang, Gao Shuai, Huang Wenjiang, Wang Li, Wu Mingquan, Huang Ni, Zhan Yulin. A Kind of EO-1 Hyperion Full Wave Shape Laser Radar Remote Sensing System, CN201310499238.9A
[6] Niu Zheng, Sun Gang, Gao Shuai, Li Wang, Wang Li, Huang Wenjiang, Zhan Yulin, Wu Mingquan. A Kind of Laser Radar Footprint Overlapping Scan Device and Scan Method. CN201520809383.7.
Software Copyrights
[1] 2014-8-1, Wu Mingquan. Spatial and Temporal Fusion of Remote Sensing Data System. Institute of Remote Sensing and Digital Earth of CAS. 2014SR110732.
[2] 2015-2-15, Wu Mingquan. Airborne High-spectral Data Processing System. Institute of Remote Sensing and Digital Earth of CAS. 2015SR032658.
[3] 2015-5-8, Wu Mingquan. Crops Land Surface Parameters Sampling and Surveying System. Institute of Remote Sensing and Digital Earth of CAS. 2015SR077482.
Honors & Awards
[1] 2012, Wu Mingquan, Wang Li, Gao Shuai, Zhan Yulin, Du Zitao. Second Prize of the National Award for Scientific and Technological Progress: Research on Key Technologies of Remote Sensing for Monitoring Main Crops and Their Commercial Applications.
[2] 2012, Wang Changyao, Wang Li, Wu Mingquan. Third Prize of National Award for the Outstanding Achievements of Scientific Research and Statistics, National Bureau of Statistics of China: Estimation Method of Catton Planting Area in Xinjiang Autonomous Region Using Remote Sensing Technology and Spatial Grid Sampling.
[3] 2017, Member of the Youth Innovation Promotion Association of CAS
[4] 2017, Member of the Youth Innovation Promotion Association of Institute of
Remote Sensing and Digital Earth of CAS.
[5] 2012, Outstanding Employee Award, Institute of Remote Sensing and Digital Earth of CAS.
[6] 2015, Outstanding Employee Award, Institute of Remote Sensing and Digital Earth of CAS.
[7] 2015, senior visiting scholar funded by China Scholarship Council.