| A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods Z Li, C Wang, CT Emrich, D Guo Cartography and Geographic Information Science 45 (2), 97-110, 2018 | 202 | 2018 |
| Capability of C-band backscattering coefficients from high-resolution satellite SAR sensors to assess biophysical variables in paddy rice Y Inoue, E Sakaiya, C Wang Remote Sensing of Environment 140, 257-266, 2014 | 173 | 2014 |
| Mapping paddy rice with multitemporal ALOS/PALSAR imagery in southeast China Y Zhang, C Wang, J Wu, J Qi, WA Salas International journal of Remote sensing 30 (23), 6301-6315, 2009 | 147 | 2009 |
| Soil moisture estimation in a semiarid rangeland using ERS-2 and TM imagery C Wang, J Qi, S Moran, R Marsett Remote Sensing of Environment 90 (2), 178-189, 2004 | 127 | 2004 |
| Evaluation of three MODIS-derived vegetation index time series for dryland vegetation dynamics monitoring L Lu, C Kuenzer, C Wang, H Guo, Q Li Remote Sensing 7 (6), 7597-7614, 2015 | 112 | 2015 |
| Object-based crop classification with Landsat-MODIS enhanced time-series data Q Li, C Wang, B Zhang, L Lu Remote Sensing 7 (12), 16091-16107, 2015 | 109 | 2015 |
| A satellite image-based analysis of factors contributing to the green-space cool island intensity on a city scale F Kong, H Yin, C Wang, G Cavan, P James Urban forestry & urban greening 13 (4), 846-853, 2014 | 102 | 2014 |
| Vegetation greenness trend (2000 to 2009) and the climate controls in the Qinghai-Tibetan Plateau L Zhang, H Guo, L Ji, L Lei, C Wang, D Yan, B Li, J Li Journal of Applied Remote Sensing 7 (1), 073572-073572, 2013 | 101 | 2013 |
| Mapping urban bare land automatically from Landsat imagery with a simple index H Li, C Wang, C Zhong, A Su, C Xiong, J Wang, J Liu Remote sensing 9 (3), 249, 2017 | 98 | 2017 |
| Characterizing L-band scattering of paddy rice in southeast China with radiative transfer model and multitemporal ALOS/PALSAR imagery C Wang, J Wu, Y Zhang, G Pan, J Qi, WA Salas IEEE Transactions on Geoscience and Remote Sensing 47 (4), 988-998, 2009 | 94 | 2009 |
| A modified normalized difference impervious surface index (MNDISI) for automatic urban mapping from landsat imagery HGRS Sun, Z., C. Wang* Remote Sensing 9, 2017 | 89 | 2017 |
| Assessment of tropical forest degradation with canopy fractional cover from Landsat ETM+ and IKONOS imagery C Wang, J Qi, M Cochrane Earth Interactions 9 (22), 1-18, 2005 | 89 | 2005 |
| Biophysical estimation in tropical forests using JERS‐1 SAR and VNIR imagery. II. Aboveground woody biomass C Wang, J Qi International Journal of Remote Sensing 29 (23), 6827-6849, 2008 | 71 | 2008 |
| Assessing phenological change and climatic control of alpine grasslands in the Tibetan Plateau with MODIS time series C Wang, H Guo, L Zhang, S Liu, Y Qiu, Z Sun International journal of biometeorology 59, 11-23, 2015 | 70 | 2015 |
| Impacts of urbanization on surface runoff of the Dardenne Creek watershed, St. Charles County, Missouri Y Li, C Wang Physical Geography 30 (6), 556-573, 2009 | 69 | 2009 |
| A near real-time flood-mapping approach by integrating social media and post-event satellite imagery X Huang, C Wang, Z Li Annals of GIS 24 (2), 113-123, 2018 | 66 | 2018 |
| Remote sensing of soil alkalinity and salinity in the Wuyu’er-Shuangyang River Basin, Northeast China L Bai, C Wang, S Zang, Y Zhang, Q Hao, Y Wu Remote Sensing 8 (2), 163, 2016 | 65 | 2016 |
| Using landsat images to detect oak decline in the Mark Twain national forest, Ozark highlands C Wang, Z Lu, TL Haithcoat Forest ecology and management 240 (1-3), 70-78, 2007 | 65 | 2007 |
| Detecting winter wheat phenology with SPOT-VEGETATION data in the North China Plain L Lu, C Wang, H Guo, Q Li Geocarto International 29 (3), 244-255, 2014 | 60 | 2014 |
| Phenology-assisted classification of C3 and C4 grasses in the US Great Plains and their climate dependency with MODIS time series C Wang, ER Hunt Jr, L Zhang, H Guo Remote Sensing of Environment 138, 90-101, 2013 | 59 | 2013 |
Linlin LuAssociate Professor,Center for Earth Observation and Digital Earth,Chinese Academy of Sciences在 ceode.ac.cn 的电子邮件经过验证
