Qiusheng Wu
Qiusheng Wu
Associate Professor of Geography, University of Tennessee
Verified email at - Homepage
Cited by
Cited by
Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review
M Amani, A Ghorbanian, SA Ahmadi, M Kakooei, A Moghimi, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015
X Liu, Y Huang, X Xu, X Li, X Li, P Ciais, P Lin, K Gong, AD Ziegler, ...
Nature Sustainability 3 (7), 564-570, 2020
Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory
TM Berhane, CR Lane, Q Wu, BC Autrey, OA Anenkhonov, VV Chepinoga, ...
Remote Sensing 10 (4), 580, 2018
Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm
K Zhao, MA Wulder, T Hu, R Bright, Q Wu, H Qinb, Y Li, E Toman, ...
Remote Sensing of Environment, 2019
A new approach for detecting urban centers and their spatial structure with nighttime light remote sensing
Z Chen, B Yu, W Song, H Liu, Q Wu, K Shi, J Wu
IEEE Transactions on Geoscience and Remote Sensing 55 (11), 6305-6319, 2017
geemap: A Python package for interactive mapping with Google Earth Engine
Q Wu
Journal of Open Source Software 5 (51), 2305, 2020
Comparison of satellite reflectance algorithms for estimating chlorophyll-a in a temperate reservoir using coincident hyperspectral aircraft imagery and dense coincident …
R Beck, S Zhan, H Liu, S Tong, B Yang, M Xu, Z Ye, Y Huang, S Shu, ...
Remote Sensing of Environment 178, 15-30, 2016
Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine
Q Wu, CR Lane, X Li, K Zhao, Y Zhou, N Clinton, B DeVries, HE Golden, ...
Remote Sensing of Environment 228, 1-13, 2019
Automated delineation of karst sinkholes from LiDAR-derived digital elevation models
Q Wu, C Deng, Z Chen
Geomorphology 266, 1-10, 2016
Urban built-up area extraction from log-transformed npp-viirs nighttime light composite data
B Yu, M Tang, Q Wu, C Yang, S Deng, K Shi, C Peng, J Wu, Z Chen
IEEE Geoscience and Remote Sensing Letters 15 (8), 1279-1283, 2018
Delineating wetland catchments and modeling hydrologic connectivity using lidar data and aerial imagery
Q Wu, CR Lane
Hydrol. Earth Syst. Sci 21, 3579-3595, 2017
rgee: An R package for interacting with Google Earth Engine
C Aybar, Q Wu, L Bautista, R Yali, A Barja
Journal of Open Source Software 5 (51), 2272, 2020
Improved Wetland Classification Using Eight-Band High Resolution Satellite Imagery and a Hybrid Approach
C Lane, H Liu, B Autrey, O Anenkhonov, V Chepinoga, Q Wu
Remote Sensing 6 (12), 12187-12216, 2014
Individual tree crown delineation using localized contour tree method and airborne LiDAR data in coniferous forests
B Wu, B Yu, Q Wu, Y Huang, Z Chen, J Wu
International Journal of Applied Earth Observation and Geoinformation 52, 82-94, 2016
Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
L Yang, J Driscol, S Sarigai, Q Wu, H Chen, CD Lippitt
Remote Sensing 14 (14), 3253, 2022
Evaluation of AMSR2 soil moisture products over the contiguous United States using in situ data from the International Soil Moisture Network
Q Wu, H Liu, L Wang, C Deng
International Journal of Applied Earth Observation and Geoinformation 45 …, 2016
Delineation and Quantification of Wetland Depressions in the Prairie Pothole Region of North Dakota
Q Wu, CR Lane
Wetlands 36 (2), 215-227, 2016
A Graph-Based Approach for 3D Building Model Reconstruction from Airborne LiDAR Point Clouds
B Wu, B Yu, Q Wu, S Yao, F Zhao, W Mao, J Wu
Remote Sensing 9 (1), 92, 2017
Algorithmic foundation and software tools for extracting shoreline features from remote sensing imagery and LiDAR data
H Liu, L Wang, DJ Sherman, Q Wu, H Su
Journal of Geographic Information System 3 (2), 99-119, 2011
GIS and Remote Sensing Applications in Wetland Mapping and Monitoring
Q Wu
Comprehensive Geographic Information Systems 2, 140-157, 2018
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