Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world P Defourny, S Bontemps, N Bellemans, C Cara, G Dedieu, E Guzzonato, ... Remote Sensing of Environment 221, 551-568, 2019 | 322 | 2019 |
Remote sensing-based global crop monitoring: experiences with China's CropWatch system B Wu, J Meng, Q Li, N Yan, X Du, M Zhang International Journal of Digital Earth 7 (2), 113-137, 2014 | 180 | 2014 |
Predicting wheat yield at the field scale by combining high-resolution Sentinel-2 satellite imagery and crop modelling Y Zhao, AB Potgieter, M Zhang, B Wu, GL Hammer Remote Sensing 12 (6), 1024, 2020 | 159 | 2020 |
Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity F Waldner, D De Abelleyra, SR Verón, M Zhang, B Wu, D Plotnikov, ... International Journal of Remote Sensing 37 (14), 3196-3231, 2016 | 128 | 2016 |
Mapping up-to-Date Paddy Rice Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images X Zhang, B Wu, G Ponce-Campos, M Zhang, S Chang, F Tian Remote Sensing 10 (8), 1200, 2018 | 116 | 2018 |
Global Crop Monitoring: A Satellite-Based Hierarchical Approach B Wu, R Gommes, M Zhang, H Zeng, N Yan, W Zou, Y Zheng, N Zhang, ... Remote Sensing 7 (4), 3907-3933, 2015 | 113 | 2015 |
Remote sensing based detection of crop phenology for agricultural zones in China using a new threshold method X You, J Meng, M Zhang, T Dong Remote Sensing 5 (7), 3190-3211, 2013 | 110 | 2013 |
Crop Phenology Detection Using High Spatio-Temporal Resolution Data Fused from SPOT5 and MODIS Products Y Zheng, B Wu, M Zhang, H Zeng Sensors 16 (12), 2099, 2016 | 80 | 2016 |
An Object-Based Paddy Rice Classification Using Multi-Spectral Data and Crop Phenology in Assam, Northeast India M Singha, B Wu, M Zhang Remote Sensing 8 (6), 479, 2016 | 78 | 2016 |
Cloud services with big data provide a solution for monitoring and tracking sustainable development goals B Wu, F Tian, M Zhang, H Zeng, Y Zeng Geography and Sustainability 1 (1), 25-32, 2020 | 64 | 2020 |
A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication C Liu, Q Zhang, S Tao, J Qi, M Ding, Q Guan, B Wu, M Zhang, M Nabil, ... Remote Sensing of Environment 251, 112095, 2020 | 63 | 2020 |
Assessing factors impacting the spatial discrepancy of remote sensing based cropland products: A case study in Africa M Nabil, M Zhang, J Bofana, B Wu, A Stein, T Dong, H Zeng, J Shang International Journal of Applied Earth Observation and Geoinformation 85, 102010, 2020 | 52 | 2020 |
Quantifying global agricultural water appropriation with data derived from earth observations B Wu, F Tian, M Zhang, S Piao, H Zeng, W Zhu, J Liu, A Elnashar, Y Lu Journal of Cleaner Production, 131891, 2022 | 49 | 2022 |
GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery M Zhang, B Wu, H Zeng, G He, C Liu, S Tao, Q Zhang, M Nabil, F Tian, ... Earth System Science Data 13 (10), 4799-4817, 2021 | 48 | 2021 |
Crop Mapping Using PROBA-V Time Series Data at the Yucheng and Hongxing Farm in China X Zhang, M Zhang, Y Zheng, B Wu Remote Sensing 8 (11), 915, 2016 | 44 | 2016 |
Challenges and opportunities in remote sensing-based crop monitoring: A review B Wu, M Zhang, H Zeng, F Tian, AB Potgieter, X Qin, N Yan, S Chang, ... National Science Review, 2022 | 43 | 2022 |
Object-based paddy rice mapping using HJ-1A/B data and temporal features extracted from time series MODIS NDVI data M Singha, B Wu, M Zhang Sensors 17 (1), 10, 2016 | 42 | 2016 |
Downscaling TRMM monthly precipitation using google earth engine and google cloud computing A Elnashar, H Zeng, B Wu, N Zhang, F Tian, M Zhang, W Zhu, N Yan, ... Remote Sensing 12 (23), 3860, 2020 | 40 | 2020 |
Crop Condition Assessment with Adjusted NDVI Using the Uncropped Arable Land Ratio M Zhang, B Wu, M Yu, W Zou, Y Zheng Remote Sensing 6 (6), 5774-5794, 2014 | 39 | 2014 |
Mapping Winter Wheat Biomass and Yield Using Time Series Data Blended from PROBA-V 100-and 300-m S1 Products Y Zheng, M Zhang, X Zhang, H Zeng, B Wu Remote Sensing 8 (10), 824, 2016 | 37 | 2016 |