| 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 | 377 | 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 | 192 | 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 | 181 | 2020 |
| 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 | 134 | 2018 |
| 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 | 134 | 2016 |
| 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 | 126 | 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 | 117 | 2013 |
| 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 | 92 | 2022 |
| 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 | 85 | 2016 |
| 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 | 81 | 2016 |
| 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 | 79 | 2022 |
| 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 | 72 | 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 | 71 | 2020 |
| 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 | 63 | 2021 |
| 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 | 57 | 2020 |
| A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering Y Li, H Zeng, M Zhang, B Wu, Y Zhao, X Yao, T Cheng, X Qin, F Wu International Journal of Applied Earth Observation and Geoinformation 118 …, 2023 | 51 | 2023 |
| Dryland ecosystem dynamic change and its drivers in Mediterranean region H Zeng, B Wu, M Zhang, N Zhang, A Elnashar, L Zhu, W Zhu, F Wu, N Yan, ... Current Opinion in Environmental Sustainability 48, 59-67, 2021 | 45 | 2021 |
| 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 | 44 | 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 | 44 | 2014 |
| 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 | 43 | 2016 |
Bingfang WuRADIPotvrđena adresa e-pošte na radi.ac.cn
