I am a researcher in the CropWatch team at AIRCAS/CAS, led by Prof. Bingfang Wu, and I am also an MSc student supervisor at the University of Chinese Academy of Sciences. My research areas include water resources management, agricultural remote sensing and dryland ecosystems. In particular, I have a strong interest in the application of earth observationte chniques and machine learning to water, land and agriculture. I have published more than 60 papers and developed two software (Downscaler and ET Seperator). My research areas are listed below.

Integrated water resources management in river basins

• Downscaling algorithms for remotely sensed precipitation
• Separation of anthropogenic and natural factors in ET
• Allowable water consumption estimation

Remote sensing monitoring of agriculture (Website: http://cloud.cropwatch.com.cn/)

• Crop type classification
• Crop yield prediction
• Food security condition assessment

Remote sensing monitoring of  ecosystem

• Soil erosion
• Land Desertification

2009/09-2012/06, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Natural Resources, Ph D
2007/09-2009/06, State Key Laboratory of Information Engineering for Surveying, Wuhan University, Mapping and Remote Sensing, Cartography and Geographic Information System, MS.
2002/09-2006/06, School of Urban and Environmental Sciences, Central China Normal University, Geography & Computer Sciences, BS

2019/04-, Deputy Director of the Ecosystem Remote Sensing Department, State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences

2016/01-, Associate Professor, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

2012/07-2016/01, Assistant Professor, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

2017/06-, the Earth Observation Organization Global Agricultural Monitoring Flagship Program (GEOGLAM), member of the Executive Committee

1. Zeng Hongwei, Bingfang Wu*, Weiwei Zhu, Ning Zhang. A trade-off method between environment restoration and human water consumption: A case study in Ebinur Lake. Journal of Cleaner Production 2019, 217, 732-741(SCI, IF=11.072)
2. Zeng Hongwei, Abdelrazek Elnashar, Wu Bingfang*, Zhang Miao, Zhu Weiwei, Tian Fuyou, Ma Zonghan. A framework for separating natural and anthropogenic contributions to evapotranspiration of human-managed land covers in watersheds based on machine learning. Science of The Total Environment 2022, 823, 153726. (SCI, IF = 10.754)
3. Zeng Hongwei*, Wu Bingfang, Zhang Miao, et al. Dryland Ecosystem Dynamic Change and Its Drivers in Mediterranean Region. Current Opinion in Environmental Sustainability. 2021, 48, 59-67. (SCI, IF=7.961)
4. Zeng Hongwei, Wu Bingfang*, Zhang Ning, et al. Spatiotemporal Analysis of Precipitation in the Sparsely Gauged Zambezi River Basin Using Remote Sensing and Google Earth Engine. Remote Sensing 2019, 11(24), 2977(SCI, IF=5.349)
5. Zeng Hongwei, Wu Bingfang*, WANG Shuai, et al. A Synthesizing Land-cover Classification Method Based on Google Earth Engine: A Case Study in Nzhelele and Levhuvu Catchments, South Africa. Chinese Geographical Sciences. 2020,30(3):397-409.(SCI, IF=3.101)【入选2020年中国精品科技期刊顶尖学术论文-领跑者5000】
6. Zeng Hongwei, Li Lijuan*, Hu Jinming, et al. Accuracy validation of TRMM Multisatellite Precipitation Analysis daily precipitation products in the Lancang River Basin of China. Theoretical and applied climatology, 2013 112(3-4), 389-401. (SCI, IF=3.410)
7. Zeng Hongwei, Li Lijuan*, Li Jiuyi. The evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) in drought monitoring in the Lancang River Basin. Journal of Geographical Sciences, 2012, 22(2): 273-282. (SCI,  IF=4.012)
8. Abdelrazek Elnashar, Zeng Hongwei*, Wu Bingfang, et al. Soil erosion assessment in the Blue Nile Basin driven by a novel RUSLE-GEE framework. Science of the Total Environment, 2021, 793, 148466. (SCI, IF = 10.754)
9. Abdelrazek Elnashar, Zeng Hongwei*, Wu Bingfang*, et al. Assessment of environmentally sensitive areas to desertification in the Blue Nile Basin driven by the MEDALUS-GEE framework, Science of the Total Environment 2022, 815.(SCI, IF = 10.754)
10. LI Yuanchao, Zeng Hongwei*, Miao Zhang, Bingfang Wu*, Yan Zhao, Xia Yao, Tao Cheng, Xingli Qin, Fangming Wu. A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering. International Journal of Applied Earth Observation and Geoinformation, 2023, 118, 103269. (SCI, IF = 7.672)
    
11. Battsetseg Tuvdendorj, Zeng Hongwei*, Wu Bingfang, Abdelrazek Elnashar, Zhang Miao, et al. Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia. Remote Sensing. 2022, 14(8), 1830. (SCI, IF=5.349).
    
12. Hu Yueran, Zeng Hongwei*, Tian Fuyou, Zhang Miao, Sven Gilliams, Sen Li, Yuanchao Li, Yuming Lu, Honghai Yang. An inter-annual transfer learning approach for crop classification in Hetao Irrigation District, China. Remote Sensing. 2022, 14(5), 1208.(SCI, IF=5.349)
13. Abdelrazek Elnashar, Zeng Hongwei*, Wu Bingfang, et al. Downscaling TRMM monthly precipitation using Google Earth Engine and Google Cloud Computing. Remote Sensing. 2020,12, 3860. (SCI, IF=4.848)
14. Awetahegn Niguse Beyene, Zeng Hongwei*, Wu Bingfang, et al. Coupling remote sensing and crop growth model to estimate national wheat yield in Ethiopia. Big Earth Data 2022, 6:1, 18-35. [EI]
15. Beyene Awetahegn Niguse, Zeng Hongwei*, Wu Bingfang, et al. Coupling remote sensing and crop growth model to estimate national wheat yield in Ethiopia[DS/OL]. V1. figshare Academic Research System, 2021[2023-05-03]. https://doi.org/10.6084/m9.figshare.14186451.v1. DOI:10.6084/m9.figshare.14186451.v1.
    
16. Wu Bingfang*, Zeng Hongwei, Zhu Weiwei, et al. Enhancing China’s Three Red Lines strategywith water consumption limitations, Science Bulletin, 66(20), 2057-2060. (SCI, IF=20.577)
17. Wu Bingfang*, Zeng Hongwei, Lv Nan, et al. The essential dryland ecosystem variables.Current Opinion in Environmental Sustainability. 2021, 48, 68-76(SCI, IF=7.961)
18. Wu Bingfang*, Zeng Hongwei, Yan Nana, et al. Approach for Estimating Available Consumable Water for Human Activities in a River Basin. Water Resources Management 2018, 32:2353-2368.（SCI，IF=4.426）
19. Wu Bingfang*, Zeng Hongwei, Yan Nana, et al. Promoting Resilient Agriculture Practices for B&R Countries with Remote Sensing, Bulletin of the Chinese Academy of Sciences, 2018, 32(3)：184-189
20. Bingfang Wu, Miao Zhang, Hongwei Zeng, Fuyou Tian, Andries B Potgieter, Xingli Qin, Nana Yan, Sheng Chang, Yan Zhao, Qinghan Dong, Vijendra Boken, Dmitry Plotnikov, Huadong Guo, Fangming Wu, Hang Zhao, Bart Deronde, Laurent Tits, Evgeny Loupian, Challenges and opportunities in remote sensing-based crop monitoring: A review, National Science Review, 2022. (SCI, IF = 23.178)
    
21. Zhang Miao, Wu Bingfang*, Zeng Hongwei, et al: GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery, Earth Syst. Sci. Data, 2021, 13, 4799–4817.  (SCI, IF = 11.333)
22. Fuyou Tian, Bingfang Wu, Hongwei Zeng, Miao Zhang, Yueran Hu, Yan Xie, Congcong Wen, Zhengdong Wang, Xingli Qin, Wei Han & Honghai Yang. A shape-attention Pivot-Net for identifying central pivot irrigation systems from satellite images using a cloud computing platform: an application in the contiguous US, GIScience & Remote Sensing, 2023, 60:1. (SCI, IF = 6.397)
    
23. Tian Fuyou, Wu Bingfang*, Zeng Hongwei, et al. Efficient Identification of Corn Cultivation Area with Multitemporal Synthetic Aperture Radar and Optical Images in the Google Earth Engine Cloud Platform. Remote Sensing 2019, 11(SCI, IF=5.349)
24. Tian Fuyou, Wu Bingfang*, Zeng Hongwei, et al. Identifying the Links Among Poverty, Hydroenergy and Water Use Using Data Mining Methods, Water Resources Management,2020,34(5), 1725-1741.（SCI, IF=4.426）
25. Tuvdendorj Battsetseg, Wu Bingfang*, Zeng Hongwei, et al. Determination of Appropriate Remote Sensing Indices for Spring Wheat Yield Estimation in Mongolia. Remote Sensing, 2019, 11(21), 2568.(SCI, IF=5.349)
26. Tian Fuyou, Wu Bingfang, Zeng Hongwei, et al. (2022). Detecting the linkage between arable land use and poverty using machine learning methods at global perspective. Geography and Sustainability, 3, 7-20
27. Zhengdong Wang, Bingfang Wu*, Miao Zhang, Hongwei Zeng, Leidong Yang, Fuyou Tian, Zonghan Ma, Hantian Wu. Indices enhance biological soil crust mapping in sandy and desert lands.Remote Sensing of Environment, 2022, 278,113078. (SCI, IF=13.85）
28. Bofana Jose, Zhang Miao*, Wu Bingfang*, Zeng Hongwei, et al. How long did crops survive from floods caused by Cyclone Idai in Mozambique detected with multi-satellite data. Remote Sensing of Environment 2022, 269, 112808.（SCI, IF=13.85）
29. Wu, Bingfang, Zonghan Ma, Vijendra K. Boken, Hongwei Zeng, Jiali Shang, Savin Igor, Jinxia Wang, and Nana Yan. Regional Differences in the Performance of Drought Mitigation Measures in 12 Major Wheat-Growing Regions of the World. Agricultural Water Management 273: 107888.(SCI, IF=6.611)
30. Wu Bingfang*, Gommes Rene, Zhang Miao, Zeng Hongwei, et al. Global crop monitoring: a satellite-based hierarchical approach, Remote Sensing, 2015, 7(4), 3907-3933.(SCI, IF=5.349)
31. Wu Bingfang*, Tian Fuyou, Zhang Miao, Zeng Hongwei, Zeng Yuan. Cloud services with big data provide a solution for monitoring and tracking sustainable development goals. Geography and Sustainability, 2020, 1(1), 25-32.
32. Yan Nana, Wu Bingfang*, Perry Chris, Zeng Hongwei. Assessing potential water savings in agriculture on the Hai Basin plain, China. Agricultural Water Management, 2015. 154: 11-19.(SCI, IF=6.611)
33. Zheng Yang, Zhang Miao, Zhang Xin, Zeng Hongwei, Wu Bingfang*. Winter wheat biomass and yield using time series data blended from PROBA-V 100-and 300-m S1 products, Remote Sensing, 2016, 8(10), 824.(SCI, IF=5.349)
34. Tan Shen, Wu Bingfang*, Yan Nana, Zeng Hongwei. Satellite-Based Water Consumption Dynamics Monitoring in an Extremely Arid Area. Remote Sensing 2018, 10.(SCI, IF=5.349)
35. Abdelrazek Elnashar, Wang Linjiang, Wu Bingfang, Zhu Weiwei, and Zeng Hongwei: Synthesis of global actual evapotranspiration from 1982 to 2019, Earth Syst. Sci. Data, 13, 447–480. (SCI, IF = 11.333)
36. Wu Bingfang*, Tian Fuyou, Zhang Miao, Piao Shilong, Zeng Hongwei, Zhu Weiwei, Liu Junguo, Elnashar, A., Lu Yuming. Quantifying global agricultural water appropriation with data derived from earth observations. Journal of Cleaner Production,  2022, 358, 131891.(SCI, IF=11.072)
37. Wu Bingfang*, Jiang Liping, Yan Nana, Perry Chris, Zeng Hongwei. Basin-wide evapotranspiration management: Concept and practical application in Hai Basin, China. Agricultural Water Management 2014, 145: 145-153.(SCI, IF=6.611)
38. Lu, Yuming, Bingfang Wu, Abdelrazek Elnashar, Nana Yan, Hongwei Zeng, Weiwei Zhu, and Bo Pang. "Downscaling Wind Speed Based on Coupled Environmental Factors and Machine Learning." International Journal of Climatology 43, no. 10 (2023/08/01 2023): 4733-55
39. Ma Zonghan, Yan Nana, Wu Bingfang*, Stein Alfred, Zhu Weiwei, Zeng Hongwei. Variation in actual evapotranspiration following changes in climate and vegetation cover during an ecological restoration period (2000–2015) in the Loess Plateau, China. Science of The Total Environment 2019, 689:534-545.(SCI, IF=10.754)
40. René Gommes, Wu Bingfang*, Zhang Ning, Feng Xueliang, Zeng Hongwei, Li Zhongyuan, Chen Bo. CropWatch agroclimatic indicators (CWAIs) for weather impact assessment on global agriculture. International Journal of Biometeorology, 2017, 61:199-215.(SCI, IF=3.787)
41. Liu Chong, Zhang Qi, Tao Shiqi, Qi Jiaguo, Ding Mingjun, Guang Qihui, Wu Bingfang*, Zhang Miao, Mohsen Nabil, Tian Fuyou, Zeng Hongwei, Zhang Ning, Ganbat Bavuudorj, Emmanuel Rukundo, Liu Wenjun, José Bofana, Awetahegn Niguse Beyene, Abdelrazek Elnasharb. A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication. Remote Sensing of Environment 2020, 251:112095.（SCI, IF=13.85）
42. Fu Bojie*, Stafford-Smith Mark, Wang Yanfen, Wu Binfang, Yu Xiubo, Lv Nan, Ojima Dennis S., Lv Yihe, Fu Chao, Liu Yu, Niu Shuli, Zhang Yangjian, Zeng Hongwei, Liu Yuexian, Liu Yanxu, Feng Xiaoming, Zhang Lu, Wei Yongping, Xu Zhihong, Li Fadong, Cui Xiaoyong, Diop Salif, Chen Xi. The Global-DEP conceptual framework — research on dryland ecosystems to promote sustainability. Current Opinion in Environmental Sustainability 2021, 48:17-28.(SCI, IF=7.961)
43. José Bofana, Miao Zhang, Mohsen Nabil , Wu Bingfang*, Tian Fuyou, Liu Wenjun, Zeng Hongwei, Zhang Ning , Shingirai S. Nangombe, Sueco A. Cipriano, Elijah Phiri, Terence Darlington Mushore, Peter Kailua, Emmanuel Mashonjowa, Chrispin Moyo. Comparison of Different Cropland Classification Methods under Diversified Agroecological Conditions in the Zambezi River Basin. Remote Sensing, 2020, 12.(SCI,  IF=5.349)
44. Mohsen Nabil, Miao Zhang*, Jose Bofana, Wu Bingfang, Stein Alfred, Dong Taifeng, Zeng Hongwei, Shang Jiali. Assessing factors impacting the spatial discrepancy of remote sensing based cropland products: A case study in Africa. International Journal of Applied Earth Observation and Geoinformation 2020, 85:102010.(SCI, IF=7.672)

Our aim is to contribute to the achievement of SDG 2 and SDG 6. My interest focuses on remote sensing in agriculture and water resources management, and my team has a strong interest in the application of advanced technologies in agriculture and water resources.

Integrated water resources management in river basins

• We focus on downscaling algorithms for key water cycle elements at the basin scale, separation of natural and anthropogenic contributions to changes in evapotranspiration, and the amount of allowable water consumption in a basin.
  
• Currently, our team has developed an automated software (Downscaler) using machine learning algorithms that can be used to downscale hydrological parameters such as precipitation, and developed a software for separating the contribution of evapotranspiration (ETSeperator)

Agricultural remote sensing monitoring

• arable land extraction, crop type identification and crop yield prediction.
  
• Currently, our team has constructed a crop yield prediction model coupled with seven machine learning algorithms to achieve accurate prediction of soybean yield at the county level.

Abdelrazek Elnashar,  Ph D candidate, Egypt, 070503-GIS (First supervisor: Bingfang Wu, Second supervisor: Hongwei Zeng)

Awetahegn Niguse Beyene, Ph D candidate, Ethiopia, 070503-GIS (First supervisor: Bingfang Wu, Second supervisor: Hongwei Zeng)

Battsetseg Tuvdendorj, Ph D candiate, Mongolia, 070503-GIS (First supervisor: Bingfang Wu, Second supervisor: Hongwei Zeng)

Yuanchao Li, Master student, China, 070503-GIS 

Yueran Hu, Master student, China, 070503-GIS

Title of Achievement: Science and Technology Progress Award of Dayu Water Conservancy Science and Technology Award

Level of Award: Province

Grade of Award: Second prize

Date of Award: December 2021

Authors: Bingfang Wu, Nana Yan, Hongwei Zeng, Weiwei Zhu, Yonghui Yang