Fuzhou University, China
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👨‍🎓 Early Academic Pursuits
Dr. Qiu Bingwen began his academic journey in Soil Science at Hunan Agricultural University, earning a Bachelor of Agronomy in 1997. He then pursued a Master’s degree in Environmental Engineering at Huazhong Agricultural University, where he explored GIS-based analysis of water and land resources in Wuhan. In 2006, he obtained his Ph.D. in Cartology and Geographic Information Systems from the Graduate School of the Chinese Academy of Sciences, with a dissertation focused on multi-scale land use pattern modeling. These foundations established his expertise in remote sensing, GIS, and environmental data modeling.
🌍 Professional Endeavors
Dr. Qiu's academic path extended globally. He was a Visiting Scholar at the University of Cambridge (2009–2010) under Prof. Robert Haining, and later at the Carnegie Institution for Science (2018–2021), mentored by Dr. Joe Berry and Dr. Gregory Asner. These international experiences significantly enriched his expertise in geospatial data science and ecosystem modeling. He currently serves as a Research Professor at the Key Laboratory of Spatial Data Mining & Information Sharing, Fuzhou University, where he contributes to national-scale projects on land use and agricultural monitoring.
🔬 Research Focus and Contributions
Dr. Qiu specializes in large-scale cropping system mapping using multi-source satellite data, especially Sentinel-1/2 time series. His work has advanced methodologies for identifying crop rotation patterns, estimating cropping intensity, and mapping individual crop types such as maize, wheat, soybean, and tea across China and beyond. Notably, he has pioneered a national-scale 10-meter cropping map system integrating optical and radar data, a landmark in precision agriculture and policy planning. His approach blends remote sensing, phenological analysis, spectral index modeling, and machine learning.
đź“Š Impact and Influence
Dr. Qiu’s prolific output includes over 15 high-impact publications in prestigious journals such as ISPRS Journal of Photogrammetry and Remote Sensing, Remote Sensing of Environment, Agricultural Systems, Scientific Data, and The Crop Journal. His 2025 publication on mapping complex cropping patterns at 10-meter resolution has set a benchmark for national-scale agricultural mapping. Several of his studies are heavily cited and form the backbone of China’s remote sensing-based agricultural policy tools. His research on crop phenology, canopy analysis, and sustainable intensification continues to inspire innovations in both academia and government sectors.
đź“š Academic Citations and Visibility
Dr. Qiu’s publications are frequently cited by experts in remote sensing, agronomy, and climate science. His collaborative efforts with global researchers like Joe Berry and Francesco Tubiello reflect his influence on global ecological monitoring frameworks. Tools and datasets produced by his team are referenced in studies related to food security, climate impact, and ecosystem services.
đź’» Technical Expertise
Dr. Qiu is proficient in:
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Geospatial Analysis (GIS, Remote Sensing, Google Earth Engine)
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Image Processing & Machine Learning (Sentinel-1/2, MODIS, NDVI, SAR, random forest)
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Temporal Data Analysis and Phenological Metrics
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Programming: Python, R, and IDL for data modeling
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Data Fusion techniques combining optical and radar sources
His technical toolkit enables high-resolution analysis of smallholder farming landscapes, crop classification, and yield estimation.
🎓 Teaching and Mentorship
As a research professor, Dr. Qiu plays a vital role in training graduate students and early-career researchers in GIS, remote sensing, and data science for agriculture. His mentorship emphasizes applied research, pushing students to develop algorithms that translate into policy-relevant tools. He has supervised several Ph.D. and Master’s students, many of whom now hold key positions in academia and government.
🧬 Legacy and Future Vision
Dr. Qiu’s work is shaping the next generation of agro-environmental monitoring. His mapping systems are foundational for:
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Precision agriculture
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Carbon accounting and GHG inventories
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Climate-smart crop planning
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Sustainable intensification
His legacy lies in bridging science and policy, creating tools that empower farmers, planners, and decision-makers. Looking forward, Dr. Qiu aims to expand his mapping frameworks to cover other Asian and African countries, integrating AI-driven models, knowledge graphs, and multi-sensor fusion to support global food system resilience.
Selected Publications
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A robust framework for mapping complex cropping patterns: The first national-scale 10 m map with 10 crops in China using Sentinel 1/2 images
Qiu Bingwen, Wu Fangzheng, Hu Xiang, Peng Yang, Wu Wenbin, Jin Chen, Chen Xuehong, He Liyin, Joe Berry, Tubiello Francesco N., Qian Jianping, Wang Laigang
ISPRS Journal of Photogrammetry and Remote Sensing | 2025
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Towards automation of national scale cropping pattern mapping by coupling Sentinel-1/2 data: A 10-m map of crop rotation systems for wheat in China
Qiu Bingwen, Li Zhengrong, Yang Peng, Wu Wenbin, Chen Xuehong, Wu Bingfang, Zhang Miao, Duan Yuanlin, Syahrul Kurniawan, Piotr Tryjanowski, Viktoria Takacs
Agricultural Systems | 2025
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National-scale 10-m maps of cropland use intensity in China during 2018-2023
Qiu Bingwen, Liu Baoli, Tang Zhenghong, Dong Jinwei, Xu Weiming, Liang Juanzhu, Chen Nan, Chen Jiangping, Wang Laigang, Chang Chengming, Li Zhengrong, Wu Fangzheng
Scientific Data | 2024
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National-scale 10 m annual maize maps for China and the contiguous United States using a robust index from Sentinel-2 time series
Huang Yingze, Qiu Bingwen, Yang Peng, et al.
Computers and Electronics in Agriculture | 2024
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Unveiling grain production patterns in China (2005–2020) towards targeted sustainable intensification
Qiu Bingwen, Jian Zeyu, Yang Peng, Tang Zhenghong, Zhu Xiaolin, Duan Mingjie, Chen Xuehong, Zhang Miao, Tu Ping, Xu Weimin, Zhao Zhiyuan
Agricultural Systems | 2024