| Increased atmospheric vapor pressure deficit reduces global vegetation growth W Yuan, Y Zheng, S Piao, P Ciais, D Lombardozzi, Y Wang, Y Ryu, ... Science advances 5 (8), eaax1396, 2019 | 1006 | 2019 |
| Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation C Wu, Z Niu, Q Tang, W Huang Agricultural and Forest Meteorology 148 (8), 1230-1241, 2008 | 907 | 2008 |
| Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model M Wu, Z Niu, C Wang, C Wu, L Wang Journal of Applied Remote Sensing 6 (1), 063507-063507, 2012 | 282 | 2012 |
| Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices C Wu, Z Niu, Q Tang, W Huang, B Rivard, J Feng Agricultural and Forest Meteorology 149 (6-7), 1015-1021, 2009 | 229 | 2009 |
| Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites C Wu, D Peng, K Soudani, L Siebicke, CM Gough, MA Arain, G Bohrer, ... Agricultural and Forest Meteorology 233, 171-182, 2017 | 189 | 2017 |
| Contrasting responses of autumn-leaf senescence to daytime and night-time warming C Wu, X Wang, H Wang, P Ciais, J Peñuelas, RB Myneni, AR Desai, ... Nature Climate Change 8 (12), 1092-1096, 2018 | 188 | 2018 |
| Comparison of multiple models for estimating gross primary production using MODIS and eddy covariance data in Harvard Forest C Wu, JW Munger, Z Niu, D Kuang Remote Sensing of Environment 114 (12), 2925-2939, 2010 | 186 | 2010 |
| Interannual variability of net ecosystem productivity in forests is explained by carbon flux phenology in autumn C Wu, JM Chen, TA Black, DT Price, WA Kurz, AR Desai, A Gonsamo, ... Global Ecology and Biogeography 22 (8), 994-1006, 2013 | 162 | 2013 |
| Modeling growing season phenology in North American forests using seasonal mean vegetation indices from MODIS C Wu, A Gonsamo, CM Gough, JM Chen, S Xu Remote Sensing of Environment 147, 79-88, 2014 | 159 | 2014 |
| A new satellite-based monthly precipitation downscaling algorithm with non-stationary relationship between precipitation and land surface characteristics S Xu, C Wu, L Wang, A Gonsamo, Y Shen, Z Niu Remote sensing of environment 162, 119-140, 2015 | 149 | 2015 |
| Land surface phenology from optical satellite measurement and CO2 eddy covariance technique A Gonsamo, JM Chen, DT Price, WA Kurz, C Wu Journal of Geophysical Research: Biogeosciences 117 (G3), 2012 | 149 | 2012 |
| Satellite detection of cumulative and lagged effects of drought on autumn leaf senescence over the Northern Hemisphere J Peng, C Wu, X Zhang, X Wang, A Gonsamo Global Change Biology 25 (6), 2174-2188, 2019 | 148 | 2019 |
| Predicting gross primary production from the enhanced vegetation index and photosynthetically active radiation: Evaluation and calibration C Wu, JM Chen, N Huang Remote Sensing of Environment 115 (12), 3424-3435, 2011 | 146 | 2011 |
| Land surface phenology of China's temperate ecosystems over 1999–2013: Spatial–temporal patterns, interaction effects, covariation with climate and implications for productivity C Wu, X Hou, D Peng, A Gonsamo, S Xu Agricultural and forest meteorology 216, 177-187, 2016 | 145 | 2016 |
| Gross primary production estimation from MODIS data with vegetation index and photosynthetically active radiation in maize C Wu, Z Niu, S Gao Journal of Geophysical Research: Atmospheres 115 (D12), 2010 | 145 | 2010 |
| Spatial and temporal variations in global soil respiration and their relationships with climate and land cover N Huang, L Wang, XP Song, TA Black, RS Jassal, RB Myneni, C Wu, ... Science advances 6 (41), eabb8508, 2020 | 129 | 2020 |
| Spring green-up phenology products derived from MODIS NDVI and EVI: Intercomparison, interpretation and validation using National Phenology Network and AmeriFlux observations D Peng, C Wu, C Li, X Zhang, Z Liu, H Ye, S Luo, X Liu, Y Hu, B Fang Ecological Indicators 77, 323-336, 2017 | 127 | 2017 |
| Divergent shifts in peak photosynthesis timing of temperate and alpine grasslands in China J Yang, J Dong, X Xiao, J Dai, C Wu, J Xia, G Zhao, M Zhao, Z Li, Y Zhang, ... Remote Sensing of Environment 233, 111395, 2019 | 125 | 2019 |
| Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China W Li, Z Niu, N Huang, C Wang, S Gao, C Wu Ecological indicators 57, 486-496, 2015 | 124 | 2015 |
| Retrieving leaf chlorophyll content using a matrix-based vegetation index combination approach M Xu, R Liu, JM Chen, Y Liu, R Shang, W Ju, C Wu, W Huang Remote Sensing of Environment 224, 60-73, 2019 | 121 | 2019 |
Alemu GonsamoCanada Research Chair & Associate Professor, McMaster University在 mcmaster.ca 的电子邮件经过验证
