Chaoyang WU
Chaoyang WU
Chinese Academy of Sciences
Verified email at irsa.ac.cn - Homepage
Title
Cited by
Cited by
Year
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
5402008
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
1672009
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
1412010
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
1352019
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, 2012
1332012
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
1092011
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
992012
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
992010
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
952013
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
922014
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
902017
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
742015
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
712016
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
662015
Remote sensing of canopy light use efficiency in temperate and boreal forests of North America using MODIS imagery
C Wu, JM Chen, AR Desai, DY Hollinger, MA Arain, HA Margolis, ...
Remote Sensing of Environment 118, 60-72, 2012
592012
An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery
M Wu, C Wu, W Huang, Z Niu, C Wang, W Li, P Hao
Information fusion 31, 14-25, 2016
582016
Nondestructive estimation of canopy chlorophyll content using Hyperion and Landsat/TM images
C Wu, L Wang, Z Niu, S Gao, M Wu
International Journal of Remote Sensing 31 (8), 2159-2167, 2010
552010
An evaluation of EO-1 hyperspectral Hyperion data for chlorophyll content and leaf area index estimation
C Wu, X Han, Z Niu, J Dong
International Journal of Remote Sensing 31 (4), 1079-1086, 2010
552010
Improved modeling of land surface phenology using MODIS land surface reflectance and temperature at evergreen needleleaf forests of central North America
Y Liu, C Wu, D Peng, S Xu, A Gonsamo, RS Jassal, MA Arain, L Lu, ...
Remote Sensing of Environment 176, 152-162, 2016
542016
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
532017
The system can't perform the operation now. Try again later.
Articles 1–20