| 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, GE Ponce-Campos, M Zhang, S Chang, F Tian Remote Sensing 10 (8), 1200, 2018 | 116 | 2018 |
| Efficient identification of corn cultivation area with multitemporal synthetic aperture radar and optical images in the google earth engine cloud platform F Tian, B Wu, H Zeng, X Zhang, J Xu Remote Sensing 11 (6), 629, 2019 | 70 | 2019 |
| 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 | 65 | 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 | 62 | 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 358, 131891, 2022 | 46 | 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 Discussions 2021, 1-22, 2021 | 46 | 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 | 41 | 2020 |
| A synthesizing land-cover classification method based on Google Earth engine: A case study in Nzhelele and Levhuvu Catchments, South Africa H Zeng, B Wu, S Wang, W Musakwa, F Tian, ZE Mashimbye, N Poona, ... Chinese Geographical Science 30, 397-409, 2020 | 41 | 2020 |
| 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 10 (4), nwac290, 2023 | 40 | 2023 |
| Comparison of different cropland classification methods under diversified agroecological conditions in the Zambezi River Basin J Bofana, M Zhang, M Nabil, B Wu, F Tian, W Liu, H Zeng, N Zhang, ... Remote Sensing 12 (13), 2096, 2020 | 30 | 2020 |
| An interannual transfer learning approach for crop classification in the Hetao Irrigation district, China Y Hu, H Zeng, F Tian, M Zhang, B Wu, S Gilliams, S Li, Y Li, Y Lu, H Yang Remote Sensing 14 (5), 1208, 2022 | 27 | 2022 |
| Identification of crop type in crowdsourced road view photos with deep convolutional neural network F Wu, B Wu, M Zhang, H Zeng, F Tian Sensors 21 (4), 1165, 2021 | 25 | 2021 |
| Performance and the optimal integration of Sentinel-1/2 time-series features for crop classification in Northern Mongolia B Tuvdendorj, H Zeng, B Wu, A Elnashar, M Zhang, F Tian, M Nabil, ... Remote Sensing 14 (8), 1830, 2022 | 24 | 2022 |
| Detecting the linkage between arable land use and poverty using machine learning methods at global perspective F Tian, B Wu, H Zeng, GR Watmough, M Zhang, Y Li Geography and Sustainability 3 (1), 7-20, 2022 | 19 | 2022 |
| Spatiotemporal analysis of precipitation in the sparsely gauged Zambezi River Basin using remote sensing and google Earth engine H Zeng, B Wu, N Zhang, F Tian, E Phiri, W Musakwa, M Zhang, L Zhu, ... Remote Sensing 11 (24), 2977, 2019 | 19 | 2019 |
| Identifying the links among poverty, hydroenergy and water use using data mining methods F Tian, B Wu, H Zeng, S Ahmed, N Yan, I White, M Zhang, A Stein Water Resources Management 34, 1725-1741, 2020 | 17 | 2020 |
| Indices enhance biological soil crust mapping in sandy and desert lands Z Wang, B Wu, M Zhang, H Zeng, L Yang, F Tian, Z Ma, H Wu Remote Sensing of Environment 278, 113078, 2022 | 14 | 2022 |
| Spatiotemporal analysis of actual evapotranspiration and its causes in the Hai Basin N Yan, F Tian, B Wu, W Zhu, M Yu Remote Sensing 10 (2), 332, 2018 | 14 | 2018 |
| How long did crops survive from floods caused by Cyclone Idai in Mozambique detected with multi-satellite data J Bofana, M Zhang, B Wu, H Zeng, M Nabil, N Zhang, A Elnashar, F Tian, ... Remote Sensing of Environment 269, 112808, 2022 | 13 | 2022 |
| A framework for separating natural and anthropogenic contributions to evapotranspiration of human-managed land covers in watersheds based on machine learning H Zeng, A Elnashar, B Wu, M Zhang, W Zhu, F Tian, Z Ma Science of the Total Environment 823, 153726, 2022 | 11 | 2022 |
Bingfang WuRADI在 radi.ac.cn 的电子邮件经过验证
