| 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 | 1695 | 2013 |
| Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery Q Yu, P Gong, N Clinton, G Biging, M Kelly, D Schirokauer Photogrammetric Engineering & Remote Sensing 72 (7), 799-811, 2006 | 1111 | 2006 |
| 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 | 1062 | 2019 |
| The global distribution and trajectory of tidal flats NJ Murray, SR Phinn, M DeWitt, R Ferrari, R Johnston, MB Lyons, ... Nature 565 (7738), 222-225, 2019 | 821 | 2019 |
| Accuracy assessment measures for object-based image segmentation goodness N Clinton, A Holt, J Scarborough, LI Yan, P Gong Photogramm. Eng. Remote Sens 76 (3), 289-299, 2010 | 502 | 2010 |
| MODIS detected surface urban heat islands and sinks: Global locations and controls N Clinton, P Gong Remote Sensing of Environment 134, 294-304, 2013 | 498 | 2013 |
| Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine H Huang, Y Chen, N Clinton, J Wang, X Wang, C Liu, P Gong, J Yang, ... Remote sensing of environment 202, 166-176, 2017 | 452 | 2017 |
| A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform B Chen, X Xiao, X Li, L Pan, R Doughty, J Ma, J Dong, Y Qin, B Zhao, ... ISPRS Journal of Photogrammetry and Remote Sensing 131, 104-120, 2017 | 437 | 2017 |
| Mapping global urban boundaries from the global artificial impervious area (GAIA) data X Li, P Gong, Y Zhou, J Wang, Y Bai, B Chen, T Hu, Y Xiao, B Xu, J Yang, ... Environmental Research Letters 15 (9), 094044, 2020 | 415 | 2020 |
| Mapping essential urban land use categories in China (EULUC-China): Preliminary results for 2018 P Gong, B Chen, X Li, H Liu, J Wang, Y Bai, J Chen, X Chen, L Fang, ... Science Bulletin 65 (3), 182-187, 2020 | 403 | 2020 |
| Prehistoric fire area and emissions from California's forests, woodlands, shrublands, and grasslands SL Stephens, RE Martin, NE Clinton Forest Ecology and Management 251 (3), 205-216, 2007 | 331 | 2007 |
| Rainforest-initiated wet season onset over the southern Amazon JS Wright, R Fu, JR Worden, S Chakraborty, NE Clinton, C Risi, Y Sun, ... Proceedings of the National Academy of Sciences 114 (32), 8481-8486, 2017 | 271 | 2017 |
| A global geospatial ecosystem services estimate of urban agriculture N Clinton, M Stuhlmacher, A Miles, N Uludere Aragon, M Wagner, ... Earth's Future 6 (1), 40-60, 2018 | 264 | 2018 |
| Annual dynamics of global land cover and its long-term changes from 1982 to 2015 H Liu, P Gong, J Wang, N Clinton, Y Bai, S Liang Earth System Science Data 12 (2), 1217-1243, 2020 | 257 | 2020 |
| Using Landsat and nighttime lights for supervised pixel-based image classification of urban land cover R Goldblatt, MF Stuhlmacher, B Tellman, N Clinton, G Hanson, ... Remote Sensing of Environment 205, 253-275, 2018 | 221 | 2018 |
| Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods I Dronova, P Gong, NE Clinton, L Wang, W Fu, S Qi, Y Liu Remote Sensing of Environment 127, 357-369, 2012 | 219 | 2012 |
| 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 | 198 | 2016 |
| Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine Q Wu, CR Lane, X Li, K Zhao, Y Zhou, N Clinton, B DeVries, HE Golden, ... Remote sensing of environment 228, 1-13, 2019 | 159 | 2019 |
| FROM-GC: 30 m global cropland extent derived through multisource data integration L Yu, J Wang, N Clinton, Q Xin, L Zhong, Y Chen, P Gong International Journal of Digital Earth 6 (6), 521-533, 2013 | 158 | 2013 |
| An artificial neural network model for estimating crop yields using remotely sensed information D Jiang, X Yang, N Clinton, N Wang International Journal of Remote Sensing 25 (9), 1723-1732, 2004 | 157 | 2004 |
Peng GongThe University of Hong Kong，http://orcid.org/0000-0003-1513-3765在 hku.hk 的电子邮件经过验证
