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Qingfeng Guan
Qingfeng Guan
School of Geography and Information Engineering, China University of Geosciences
Dirección de correo verificada de cug.edu.cn
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Año
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China
X Liang, Q Guan, KC Clarke, S Liu, B Wang, Y Yao
Computers, Environment and Urban Systems 85, 101569, 2021
6272021
Climate variability has a stabilizing effect on the coexistence of prairie grasses
PB Adler, J HilleRisLambers, PC Kyriakidis, Q Guan, JM Levine
Proceedings of the National Academy of Sciences 103 (34), 12793-12798, 2006
3502006
A human-machine adversarial scoring framework for urban perception assessment using street-view images
Y Yao, Z Liang, Z Yuan, P Liu, Y Bie, J Zhang, R Wang, J Wang, Q Guan
International Journal of Geographical Information Science 33 (12), 2363-2384, 2019
1902019
A general-purpose parallel raster processing programming library test application using a geographic cellular automata model
Q Guan, KC Clarke
International Journal of Geographical Information Science 24 (5), 695-722, 2010
1612010
Land-use/land-cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery
Q Zhu, X Guo, W Deng, S Shi, Q Guan, Y Zhong, L Zhang, D Li
ISPRS Journal of Photogrammetry and Remote Sensing 184, 63-78, 2022
1472022
A global context-aware and batch-independent network for road extraction from VHR satellite imagery
Q Zhu, Y Zhang, L Wang, Y Zhong, Q Guan, X Lu, L Zhang, D Li
ISPRS Journal of Photogrammetry and Remote Sensing 175, 353-365, 2021
1312021
An artificial-neural-network-based, constrained CA model for simulating urban growth
Q Guan, L Wang, KC Clarke
Cartography and Geographic Information Science 32 (4), 369-380, 2005
1272005
An artificial-neural-network-based, constrained CA model for simulating urban growth
Q Guan, L Wang, KC Clarke
Cartography and Geographic Information Science 32 (4), 369-380, 2005
1272005
A spectral-spatial-dependent global learning framework for insufficient and imbalanced hyperspectral image classification
Q Zhu, W Deng, Z Zheng, Y Zhong, Q Guan, W Lin, L Zhang, D Li
IEEE Transactions on Cybernetics 52 (11), 11709-11723, 2021
1052021
Understanding spatio-temporal patterns of land use/land cover change under urbanization in Wuhan, China, 2000–2019
H Zhai, C Lv, W Liu, C Yang, D Fan, Z Wang, Q Guan
Remote Sensing 13 (16), 3331, 2021
1022021
Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata
Y Zhai, Y Yao, Q Guan, X Liang, X Li, Y Pan, H Yue, Z Yuan, J Zhou
International Journal of Geographical Information Science 34 (7), 1475-1499, 2020
862020
Mixed-cell cellular automata: A new approach for simulating the spatio-temporal dynamics of mixed land use structures
X Liang, Q Guan, KC Clarke, G Chen, S Guo, Y Yao
Landscape and Urban Planning 205, 103960, 2021
822021
Exploring Land use and Land cover change in themining areas of Wa East District, Ghana usingSatellite Imagery
PL Basommi, Q Guan, D Cheng
Open Geosciences 7 (1), 20150058, 2015
732015
Dynamics of land use change in a mining area: a case study of Nadowli District, Ghana
LP Basommi, Q Guan, D Cheng, SK Singh
Journal of mountain science 13, 633-642, 2016
682016
Exploring the spatial differentiation of urbanization on two sides of the Hu Huanyong Line--based on nighttime light data and cellular automata
D Chen, Y Zhang, Y Yao, Y Hong, Q Guan, W Tu
Applied Geography 112, 102081, 2019
662019
Analyzing the correlation between visual space and residents' psychology in Wuhan, China using street-view images and deep-learning technique
L Dai, C Zheng, Z Dong, Y Yao, R Wang, X Zhang, S Ren, J Zhang, ...
City and Environment Interactions 11, 100069, 2021
642021
A hybrid parallel cellular automata model for urban growth simulation over GPU/CPU heterogeneous architectures
Q Guan, X Shi, M Huang, C Lai
International Journal of Geographical Information Science 30 (3), 494-514, 2016
642016
Mining spatiotemporal association patterns from complex geographic phenomena
Z He, M Deng, J Cai, Z Xie, Q Guan, C Yang
International Journal of Geographical Information Science 34 (6), 1162-1187, 2020
592020
A scientometric visualization analysis for night-time light remote sensing research from 1991 to 2016
K Hu, K Qi, Q Guan, C Wu, J Yu, Y Qing, J Zheng, H Wu, X Li
Remote Sensing 9 (8), 802, 2017
562017
A geospatial modeling framework for assessing biofuels-related land-use and land-cover change
R Li, Q Guan, J Merchant
Agriculture, ecosystems & environment 161, 17-26, 2012
552012
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Artículos 1–20