An Insight into Machine Learning Algorithms to Map the Occurrence of the Soil Mattic Horizon in the Northeastern Qinghai-Tibetan Plateau
References (49)
- et al.
Optimisation of pedotransfer functions using an artificial neural network ensemble method
Geoderma
(2008) Spatial prediction of soil properties in temperate mountain regions using support vector regression
Geoderma
(2009)- et al.
Estimation of soil physical properties using remote sensing and artificial neural network
Remote Sens Environ
(2000) - et al.
Mapping the possible occurrence of archaeological sites by Bayesian inference
J Archaeol Sci
(2008) - et al.
A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa
Ecol Model
(2008) - et al.
Australia-wide predictions of soil properties using decision trees
Geoderma
(2005) - et al.
Spatial prediction of soil great groups by boosted regression trees using a limited point dataset in an arid region, southeastern Iran
Geoderma
(2014) - et al.
Updating the 1:50 000 Dutch soil map using legacy soil data: A multinomial logistic regression approach
Geoderma
(2009) - et al.
Operationalizing digital soil mapping for nationwide updating of the 1:50 000 soil map of the Netherlands
Geoderma
(2015) - et al.
Regional mapping of soil parent material by machine learning based on point data
Geomorphology
(2011)
Classification of remotely sensed imagery using stochastic gradient boosting as a refinement of classification tree analysis
Remote Sens Environ
(2004)
Uncertainty in the spatial prediction of soil texture: Comparison of regression tree and Random Forest models
Geoderma
(2012)
Comparing data mining and deterministic pedology to assess the frequency of WRB reference soil groups in the legend of small scale maps
Geoderma
(2015)
Spacial prediction and mapping of continuous soil classes
Geoderma
(1992)
On digital soil mapping
Geoderma
(2003)
Spatial prediction of soil properties using environmental correlation
Geoderma
(1999)
Modeling spatial patterns of fire occurrence in Mediterranean Europe using multiple regression and random forest
Forest Ecol Manag
(2012)
An insight into machinelearning algorithms to model human-caused wildfire occurrence
Environ Model Softw
(2014)
Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)
Sci Total Environ
(2014)
Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
Ore Geol Rev
(2015)
Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture
Remote Sens Environ
(2012)
High resolution topsoil mapping using hyperspectral image and field data in multivariate regression modeling procedures
Geoderma
(2006)
Predictive mapping of the natural flow regimes of France
J Hydrol
(2009)
Prediction of soil property distribution in paddy soil landscapes using terrain data and satellite information as indicators
Ecol Indie
(2008)
Cited by (0)
Copyright © 2018 Soil Science Society of China. Published by Elsevier Ltd. All rights reserved.