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Yang Lu
Yang Lu
Associate Professor, Sun Yat-sen University
Verified email at mail.sysu.edu.cn - Homepage
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Cited by
Cited by
Year
Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model
MG Ziliani, MU Altaf, B Aragon, R Houborg, TE Franz, Y Lu, J Sheffield, ...
Agricultural and forest meteorology 313, 108736, 2022
602022
TRMM 卫星降水数据在雅鲁藏布江流域的适用性分析
吕洋, 杨胜天, 蔡明勇, 周秋文, 董国涛
自然资源学报 28 (8), 1414-1425, 2013
492013
Assimilation of soil moisture and canopy cover data improves maize simulation using an under-calibrated crop model
Y Lu, TP Chibarabada, MG Ziliani, JMK Onema, MF McCabe, J Sheffield
Agricultural Water Management 252, 106884, 2021
442021
A double instrumental variable method for geophysical product error estimation
J Dong, WT Crow, Z Duan, L Wei, Y Lu
Remote Sensing of Environment 225, 217-228, 2019
422019
Mapping surface heat fluxes by assimilating SMAP soil moisture and GOES land surface temperature data
Y Lu, SC Steele‐Dunne, L Farhadi, N van de Giesen
Water Resources Research 53 (12), 10858-10877, 2017
412017
Reconstruction of all-weather daytime and nighttime MODIS aqua-terra land surface temperature products using an XGBoost approach
W Tan, C Wei, Y Lu, D Xue
Remote Sensing 13 (22), 4723, 2021
302021
Estimating surface turbulent heat fluxes from land surface temperature and soil moisture observations using the particle batch smoother
Y Lu, J Dong, SC Steele‐Dunne, N van de Giesen
Water Resources Research 52 (11), 9086-9108, 2016
272016
An instrument variable based algorithm for estimating cross-correlated hydrological remote sensing errors
J Dong, L Wei, X Chen, Z Duan, Y Lu
Journal of Hydrology 581, 124413, 2020
252020
Synergies between urban heat island and urban heat wave effects in 9 global mega-regions from 2003 to 2020
C Wei, W Chen, Y Lu, T Blaschke, J Peng, D Xue
Remote Sensing 14 (1), 70, 2021
242021
Global sensitivity analysis of crop yield and transpiration from the FAO-AquaCrop model for dryland environments
Y Lu, TP Chibarabada, MF McCabe, GJM De Lannoy, J Sheffield
Field Crops Research 269, 108182, 2021
242021
雅鲁藏布江流域 NDVI 时空变化及其与降水和高程的关系
吕洋, 董国涛, 杨胜天, 周秋文, 蔡明勇
资源科学 36 (3), 603-611, 2014
242014
Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication
GJM De Lannoy, M Bechtold, C Albergel, L Brocca, JC Calvet, A Carrassi, ...
Frontiers in Water 4, 981745, 2022
232022
Maize yield estimation in intercropped smallholder fields using satellite data in southern Malawi
C Li, EG Chimimba, O Kambombe, LA Brown, TP Chibarabada, Y Lu, ...
Remote Sensing 14 (10), 2458, 2022
192022
Three-dimensional-based global drought projection under global warming tendency
Y Ji, J Fu, Y Lu, B Liu
Atmospheric Research 291, 106812, 2023
182023
Evaluation of microwave soil moisture data for monitoring live fuel moisture content (LFMC) over the coterminous United States
Y Lu, C Wei
Science of The Total Environment 771, 145410, 2021
182021
Improving soil moisture and surface turbulent heat flux estimates by assimilation of SMAP brightness temperatures or soil moisture retrievals and GOES land surface temperature …
Y Lu, SC Steele-Dunne, GJM De Lannoy
Journal of Hydrometeorology 21 (2), 183-203, 2020
162020
Multi-variable assimilation into a modified AquaCrop model for improved maize simulation without management or crop phenology information
Y Lu, C Wei, MF McCabe, J Sheffield
Agricultural Water Management 266, 107576, 2022
142022
Impact of soil moisture data resolution on soil moisture and surface heat flux estimates through data assimilation: A case study in the southern Great Plains
Y Lu, J Dong, SC Steele-Dunne
Journal of Hydrometeorology 20 (4), 715-730, 2019
132019
Assessment of empirical algorithms for shallow water bathymetry using multi-spectral imagery of Pearl River delta coast, china
C Wei, Q Zhao, Y Lu, D Fu
Remote Sensing 13 (16), 3123, 2021
122021
Improving generalisability and transferability of machine-learning-based maize yield prediction model through domain adaptation
R Priyatikanto, Y Lu, J Dash, J Sheffield
Agricultural and Forest Meteorology 341, 109652, 2023
92023
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