A-Xing Zhu
Cited by
Cited by
Soil mapping using GIS, expert knowledge, and fuzzy logic
AX Zhu, B Hudson, J Burt, K Lubich, D Simonson
Soil Science Society of America Journal 65 (5), 1463-1472, 2001
A similarity model for representing soil spatial information
AX Zhu
Geoderma 77 (2-4), 217-242, 1997
Derivation of soil properties using a soil land inference model (SoLIM)
AX Zhu, L Band, R Vertessy, B Dutton
Soil Science Society of America Journal 61 (2), 523-533, 1997
Multi-scale digital terrain analysis and feature selection for digital soil mapping
T Behrens, AX Zhu, K Schmidt, T Scholten
Geoderma 155 (3-4), 175-185, 2010
Automated soil inference under fuzzy logic
AX Zhu, LE Band, B Dutton, TJ Nimlos
Ecological Modelling 90 (2), 123-145, 1996
A China data set of soil properties for land surface modeling
W Shangguan, Y Dai, B Liu, A Zhu, Q Duan, L Wu, D Ji, A Ye, H Yuan, ...
Journal of Advances in Modeling Earth Systems 5 (2), 212-224, 2013
Mapping soil landscape as spatial continua: the neural network approach
AX Zhu
Water Resources Research 36 (3), 663-677, 2000
Developing a continental-scale measure of gross primary production by combining MODIS and AmeriFlux data through Support Vector Machine approach
F Yang, K Ichii, MA White, H Hashimoto, AR Michaelis, P Votava, AX Zhu, ...
Remote Sensing of Environment 110 (1), 109-122, 2007
The effects of DEM resolution and neighborhood size on digital soil survey
MP Smith, AX Zhu, JE Burt, C Stiles
Geoderma 137 (1-2), 58-69, 2006
Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
H Hong, J Liu, DT Bui, B Pradhan, TD Acharya, BT Pham, AX Zhu, ...
Catena 163, 399-413, 2018
Prediction of continental-scale evapotranspiration by combining MODIS and AmeriFlux data through support vector machine
F Yang, MA White, AR Michaelis, K Ichii, H Hashimoto, P Votava, AX Zhu, ...
IEEE Transactions on Geoscience and Remote Sensing 44 (11), 3452-3461, 2006
Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods
T Pei, CZ Qin, AX Zhu, L Yang, M Luo, B Li, C Zhou
Ecological Indicators 10 (3), 610-619, 2010
A knowledge-based approach to data integration for soil mapping
AX Zhu, LE Band
Canadian Journal of Remote Sensing 20 (4), 408-418, 1994
Measuring uncertainty in class assignment for natural resource maps under fuzzy logic
AX Zhu
Photogrammetric engineering and remote sensing 63 (10), 1195-1201, 1997
Knowledge discovery from soil maps using inductive learning
F Qi, AX Zhu
International Journal of Geographical Information Science 17 (8), 771-795, 2003
Effects of spatial detail of soil information on watershed modeling
AX Zhu, DS Mackay
Journal of Hydrology 248 (1-4), 54-77, 2001
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
H Hong, M Panahi, A Shirzadi, T Ma, J Liu, AX Zhu, W Chen, I Kougias, ...
Science of The Total Environment 621, 1124-1141, 2018
A research agenda for geographic information science
RB McMaster, EL Usery
crc Press, 2004
An adaptive approach to selecting a flow‐partition exponent for a multiple‐flow‐direction algorithm
C Qin, AX Zhu, T Pei, B Li, C Zhou, L Yang
International Journal of Geographical Information Science 21 (4), 443-458, 2007
An approach to computing topographic wetness index based on maximum downslope gradient
CZ Qin, AX Zhu, T Pei, BL Li, T Scholten, T Behrens, CH Zhou
Precision agriculture 12 (1), 32-43, 2011
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