| Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data P Gong, J Wang, L Yu, Y Zhao, Y Zhao, L Liang, Z Niu, X Huang, H Fu, ... International journal of remote sensing 34 (7), 2607-2654, 2013 | 1620 | 2013 |
| Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017 P Gong, H Liu, M Zhang, C Li, J Wang, H Huang, N Clinton, L Ji, W Li, ... Science Bulletin 64 (6), 370-373, 2019 | 976 | 2019 |
| Comparison of classification algorithms and training sample sizes in urban land classification with Landsat thematic mapper imagery C Li, J Wang, L Wang, L Hu, P Gong Remote sensing 6 (2), 964-983, 2014 | 468 | 2014 |
| China’s urban expansion from 1990 to 2010 determined with satellite remote sensing L Wang, CC Li, Q Ying, X Cheng, XY Wang, XY Li, LY Hu, L Liang, L Yu, ... Chinese Science Bulletin 57, 2802-2812, 2012 | 365 | 2012 |
| Mapping wetland changes in China between 1978 and 2008 ZG Niu, H Zhang, XW Wang, WB Yao, DM Zhou, KY Zhao, H Zhao, NN Li, ... Chinese Science Bulletin 57, 2813-2823, 2012 | 363 | 2012 |
| Overall methodology design for the United States national land cover database 2016 products S Jin, C Homer, L Yang, P Danielson, J Dewitz, C Li, Z Zhu, G Xian, ... Remote Sensing 11 (24), 2971, 2019 | 281 | 2019 |
| Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping W Li, H Fu, L Yu, P Gong, D Feng, C Li, N Clinton International journal of remote sensing 37 (23), 5632-5646, 2016 | 189 | 2016 |
| Towards a common validation sample set for global land-cover mapping Y Zhao, P Gong, L Yu, L Hu, X Li, C Li, H Zhang, Y Zheng, J Wang, ... International Journal of Remote Sensing 35 (13), 4795-4814, 2014 | 189 | 2014 |
| Meta-discoveries from a synthesis of satellite-based land-cover mapping research L Yu, L Liang, J Wang, Y Zhao, Q Cheng, L Hu, S Liu, L Yu, X Wang, ... International Journal of Remote Sensing 35 (13), 4573-4588, 2014 | 184 | 2014 |
| A multi-resolution global land cover dataset through multisource data aggregation L Yu, J Wang, XC Li, CC Li, YY Zhao, P Gong Science China Earth Sciences 57, 2317-2329, 2014 | 149 | 2014 |
| The first all-season sample set for mapping global land cover with Landsat-8 data C Li, P Gong, J Wang, Z Zhu, GS Biging, C Yuan, T Hu, H Zhang, Q Wang, ... Science Bulletin 62 (7), 508-515, 2017 | 137 | 2017 |
| Mapping global land cover in 2001 and 2010 with spatial-temporal consistency at 250 m resolution J Wang, Y Zhao, C Li, L Yu, D Liu, P Gong ISPRS Journal of Photogrammetry and Remote Sensing 103, 38-47, 2015 | 133 | 2015 |
| A new research paradigm for global land cover mapping P Gong, L Yu, C Li, J Wang, L Liang, X Li, L Ji, Y Bai, Y Cheng, Z Zhu Annals of GIS 22 (2), 87-102, 2016 | 110 | 2016 |
| The migration of training samples towards dynamic global land cover mapping H Huang, J Wang, C Liu, L Liang, C Li, P Gong ISPRS Journal of Photogrammetry and Remote Sensing 161, 27-36, 2020 | 88 | 2020 |
| A circa 2010 thirty meter resolution forest map for China C Li, J Wang, L Hu, L Yu, N Clinton, H Huang, J Yang, P Gong Remote Sensing 6 (6), 5325-5343, 2014 | 61 | 2014 |
| Comparisons of three recent moderate resolution African land cover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLC-Africa30 Y Xu, L Yu, D Feng, D Peng, C Li, X Huang, H Lu, P Gong International Journal of Remote Sensing 40 (16), 6185-6202, 2019 | 53 | 2019 |
| Tracking bamboo dynamics in Zhejiang, China, using time-series of Landsat data from 1990 to 2014 M Li, C Li, H Jiang, C Fang, J Yang, Z Zhu, L Shi, S Liu, P Gong International Journal of Remote Sensing 37 (7), 1714-1729, 2016 | 41 | 2016 |
| Forest canopy height extraction in rugged areas with ICESAT/GLAS data X Wang, H Huang, P Gong, C Liu, C Li, W Li IEEE Transactions on Geoscience and Remote Sensing 52 (8), 4650-4657, 2013 | 40 | 2013 |
| Circa 2014 African land-cover maps compatible with FROM-GLC and GLC2000 classification schemes based on multi-seasonal Landsat data D Feng, Y Zhao, L Yu, C Li, J Wang, N Clinton, Y Bai, A Belward, Z Zhu, ... International Journal of Remote Sensing 37 (19), 4648-4664, 2016 | 34 | 2016 |
| Implementation of the CCDC algorithm to produce the LCMAP Collection 1.0 annual land surface change product GZ Xian, K Smith, D Wellington, J Horton, Q Zhou, C Li, R Auch, JF Brown, ... Earth System Science Data 14 (1), 143-162, 2022 | 32* | 2022 |
Le YuTsinghua University, Zhejiang University, UWA, CUHK在 tsinghua.edu.cn 的电子邮件经过验证
