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Spatial modeling techniques for mapping and characterization of acid sulfate soils
作者:
Amélie Beucher
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doria.fi
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参考文章
(70)
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Artificial Neural Networks for Mineral-Potential Mapping: A Case Study from Aravalli Province, Western India
Natural resources research.
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Miroslav Radojevic, Vladimir N Bashkin,
Practical Environmental Analysis
,(1999)
3.
Graeme Bonham-Carter,
Geographic Information Systems for Geoscientists: Modelling with GIS
,(1995)
4.
Mats Åström, Alf Björklund,
Geochemistry and acidity of sulphide-bearing postglacial sediments of western Finland
Environmental Geochemistry and Health.
,vol. 19, pp. 155- 164 ,(1997) ,
10.1023/A:1018462824486
5.
Abraham Kandel,
Fuzzy Mathematical Techniques With Applications
,(1986)
6.
Dyi-Huey Chang, Shafiqul Islam,
Estimation of Soil Physical Properties Using Remote Sensing and Artificial Neural Network
Remote Sensing of Environment.
,vol. 74, pp. 534- 544 ,(2000) ,
10.1016/S0034-4257(00)00144-9
7.
Peter Österholm, Mats Åström,
Quantification of current and future leaching of sulfur and metals from Boreal acid sulfate soils, western Finland
Soil Research.
,vol. 42, pp. 547- 551 ,(2004) ,
10.1071/SR03088
8.
Rachael A. McDonnell, Peter A. Burrough,
Principles of Geographical Information Systems
,(1998)
9.
Jacques Gautheyrou, Marc Pansu, Jean-Yves Loyer,
Soil analysis : sampling, instrumentation and quality control
Soil analysis: sampling, instrumentation and quality control..
,(2001)
10.
Christoph Bergmeir, José M. Benítez,
Neural Networks inRUsing the Stuttgart Neural Network Simulator:RSNNS
Journal of Statistical Software.
,vol. 46, pp. 1- 26 ,(2012) ,
10.18637/JSS.V046.I07
来源期刊
Åbo Akademi University
2015 年,
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