| Global land cover mapping at 30 m resolution: A POK-based operational approach J Chen, J Chen, A Liao, X Cao, L Chen, X Chen, C He, G Han, S Peng, ... ISPRS Journal of Photogrammetry and Remote Sensing 103, 7-27, 2015 | 1916 | 2015 |
| A cultivated planet in 2010–Part 2: The global gridded agricultural-production maps Q Yu, L You, U Wood-Sichra, Y Ru, AKB Joglekar, S Fritz, W Xiong, M Lu, ... Earth System Science Data 12 (4), 3545-3572, 2020 | 210 | 2020 |
| Land cover change detection by integrating object-based data blending model of Landsat and MODIS M Lu, J Chen, H Tang, Y Rao, P Yang, W Wu Remote Sensing of Environment 184, 374-386, 2016 | 130 | 2016 |
| A spectral gradient difference based approach for land cover change detection J Chen, M Lu, X Chen, J Chen, L Chen ISPRS journal of photogrammetry and remote sensing 85, 1-12, 2013 | 107 | 2013 |
| Concepts and key techniques for 30 m global land cover mapping J Chen, J Chen, AP Liao, X Cao, L Chen, X Chen, S Peng, G Han, ... Acta Geodaetica et Cartographica Sinica 43 (6), 551-557, 2014 | 87 | 2014 |
| Effect of urbanisation on extreme precipitation based on nonstationary models in the Yangtze River Delta metropolitan region M Lu, Y Xu, N Shan, Q Wang, J Yuan, J Wang Science of the Total Environment 673, 64-73, 2019 | 70 | 2019 |
| How do temporal and spectral features matter in crop classification in Heilongjiang Province, China? HU Qiong, W WU, S Qian, LU Miao, C Di, Q YU, H TANG Journal of integrative agriculture 16 (2), 324-336, 2017 | 68* | 2017 |
| A comparative analysis of five global cropland datasets in China M Lu, WB Wu, L Zhang, AP Liao, S Peng, HJ Tang Science China Earth Sciences 59, 2307-2317, 2016 | 62 | 2016 |
| A novel remote sensing monitoring index of salinization based on three-dimensional feature space model and its application in the Yellow River Delta of China B Guo, M Lu, Y Fan, H Wu, Y Yang, C Wang Geomatics, Natural Hazards and Risk 14 (1), 95-116, 2023 | 52 | 2023 |
| A cultivated planet in 2010–Part 1: The global synergy cropland map M Lu, W Wu, L You, L See, S Fritz, Q Yu, Y Wei, D Chen, P Yang, B Xue Earth System Science Data 12 (3), 1913-1928, 2020 | 48 | 2020 |
| A full resolution deep learning network for paddy rice mapping using Landsat data L Xia, F Zhao, J Chen, L Yu, M Lu, Q Yu, S Liang, L Fan, X Sun, S Wu, ... ISPRS Journal of Photogrammetry and Remote Sensing 194, 91-107, 2022 | 44 | 2022 |
| The salinization process and its response to the combined processes of climate change–human activity in the Yellow River Delta between 1984 and 2022 B Guo, Y Liu, J Fan, M Lu, W Zang, C Liu, B Wang, X Huang, J Lai, H Wu Catena 231, 107301, 2023 | 39 | 2023 |
| A synergy cropland of china by fusing multiple existing maps and statistics M Lu, W Wu, L You, D Chen, L Zhang, P Yang, H Tang Sensors 17 (7), 1613, 2017 | 37 | 2017 |
| Global mapping of artificial surfaces at 30-m resolution XH Chen, X Cao, AP Liao, LJ Chen, S Peng, M Lu, J Chen, WW Zhang, ... Science China Earth Sciences 59, 2295-2306, 2016 | 37 | 2016 |
| Quantitative distinction of the relative actions of climate change and human activities on vegetation evolution in the Yellow River Basin of China during 1981–2019 Y Liu, B Guo, M Lu, W Zang, T Yu, D Chen Journal of Arid Land 15 (1), 91-108, 2023 | 36 | 2023 |
| Dynamic impacts of changes in river structure and connectivity on water quality under urbanization in the Yangtze River Delta plain Z Yu, Q Wang, Y Xu, M Lu, Z Lin, B Gao Ecological Indicators 135, 108582, 2022 | 32 | 2022 |
| Extending the pairwise separability index for multicrop identification using time-series modis images Q Hu, W Wu, Q Song, Q Yu, M Lu, P Yang, H Tang, Y Long IEEE Transactions on Geoscience and Remote Sensing 54 (11), 6349-6361, 2016 | 32 | 2016 |
| Mapping regional cropping patterns by using GF-1 WFV sensor data S Qian, Q ZHOU, W WU, HU Qiong, LU Miao, S LIU Journal of integrative agriculture 16 (2), 337-347, 2017 | 28 | 2017 |
| Understanding the dynamics of integrated rice–crawfish farming in Qianjiang county, China using Landsat time series images Y Wei, M Lu, Q Yu, A Xie, Q Hu, W Wu Agricultural Systems 191, 103167, 2021 | 26 | 2021 |
| Multiple factors influence the consistency of cropland datasets in Africa Y Wei, M Lu, W Wu, Y Ru International Journal of Applied Earth Observation and Geoinformation 89, 102087, 2020 | 26 | 2020 |
Wenbin WuProfessor of Geo-informatics, Chinese Academy of Agricultural SciencesVerified email at caas.cn
