Rui Liu
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Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis
K Shi, Y Chen, B Yu, T Xu, Z Chen, R Liu, L Li, J Wu
Applied Energy 168, 523-533, 2016
Detecting spatiotemporal dynamics of global electric power consumption using DMSP-OLS nighttime stable light data
K Shi, Y Chen, B Yu, T Xu, C Yang, L Li, C Huang, Z Chen, R Liu, J Wu
Applied energy 184, 450-463, 2016
A spatial assessment framework for evaluating flood risk under extreme climates
Y Chen, R Liu, D Barrett, L Gao, M Zhou, L Renzullo, I Emelyanova
Science of the Total Environment 538, 512-523, 2015
Super-resolution mapping of wetland inundation from remote sensing imagery based on integration of back-propagation neural network and genetic algorithm
L Li, Y Chen, T Xu, R Liu, K Shi, C Huang
Remote Sensing of Environment 164, 142-154, 2015
Urban expansion and agricultural land loss in China: A multiscale perspective
K Shi, Y Chen, B Yu, T Xu, L Li, C Huang, R Liu, Z Chen, J Wu
Sustainability 8 (8), 790, 2016
Assessing spatial likelihood of flooding hazard using na´ve Bayes and GIS: a case study in Bowen Basin, Australia
R Liu, Y Chen, J Wu, L Gao, D Barrett, T Xu, L Li, C Huang, J Yu
Stochastic environmental research and risk assessment 30, 1575-1590, 2016
Sub-pixel flood inundation mapping from multispectral remotely sensed images based on discrete particle swarm optimization
L Li, Y Chen, X Yu, R Liu, C Huang
ISPRS Journal of Photogrammetry and Remote Sensing 101, 10-21, 2015
Mapping spatial accessibility of public transportation network in an urban area–A case study of Shanghai Hongqiao Transportation Hub
R Liu, Y Chen, J Wu, T Xu, L Gao, X Zhao
Transportation research part D: transport and environment 59, 478-495, 2018
Integrating entropy‐based na´ve Bayes and GIS for spatial evaluation of flood hazard
R Liu, Y Chen, J Wu, L Gao, D Barrett, T Xu, X Li, L Li, C Huang, J Yu
Risk analysis 37 (4), 756-773, 2017
An evaluation of Suomi NPP-VIIRS data for surface water detection
C Huang, Y Chen, J Wu, L Li, R Liu
Remote sensing letters 6 (2), 155-164, 2015
Surface water mapping from Suomi NPP-VIIRS imagery at 30 m resolution via blending with Landsat data
C Huang, Y Chen, S Zhang, L Li, K Shi, R Liu
Remote Sensing 8 (8), 631, 2016
Integrating multi-agent evacuation simulation and multi-criteria evaluation for spatial allocation of urban emergency shelters
J Yu, C Zhang, J Wen, W Li, R Liu, H Xu
International Journal of Geographical Information Science 32 (9), 1884-1910, 2018
Managing too little and too much water: Robust mine-water management strategies under variable climate and mine conditions
L Gao, BA Bryan, J Liu, W Li, Y Chen, R Liu, D Barrett
Journal of cleaner production 162, 1009-1020, 2017
Integration of remotely sensed inundation extent and high-precision topographic data for mapping inundation depth
C Huang, Y Chen, J Wu, Z Chen, L Li, R Liu, J Yu
2014 The Third International Conference on Agro-Geoinformatics, 1-4, 2014
A spatial framework for regional-scale flooding risk assessment
Y Chen, D Barrett, R Liu, L Gao, M Zhou, L Renzullo, S Cuddy, ...
7th international congress on environmental modelling and software, 15-19, 2014
A Spatial Improved-kNN-Based Flood Inundation Risk Framework for Urban Tourism under Two Rainfall Scenarios
S Liu, R Liu*, N Tan
Sustainability 13 (5), 2859, 2021
Potential for mine water sharing to reduce unregulated discharge
L Gao, C Hou, Y Chen, D Barrett, D Mallants, W Li, R Liu
Journal of cleaner production 131, 133-144, 2016
Remote sensing of wetland flooding at a sub-pixel scale based on random forests and spatial attraction models
L Li, Y Chen, T Xu, K Shi, R Liu, C Huang, B Lu, L Meng
Remote Sensing 11 (10), 1231, 2019
Spatial downscaling of suomi NPP–VIIRS image for lake mapping
C Huang, Y Chen, S Zhang, L Li, K Shi, R Liu
Water 9 (11), 834, 2017
Integration of Bayesian regulation back-propagation neural network and particle swarm optimization for enhancing sub-pixel mapping of flood inundation in river basins
L Li, Y Chen, T Xu, C Huang, R Liu, K Shi
Remote sensing letters 7 (7), 631-640, 2016
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