| Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) |
72 |
| Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches |
60 |
| Prediction of the landslide susceptibility: Which algorithm, which precision? |
56 |
| Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility |
53 |
| PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis |
52 |
| Review on landslide susceptibility mapping using support vector machines |
51 |
| Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility |
45 |
| GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method |
44 |
| Straw mulch as a sustainable solution to decrease runoff and erosion in glyphosate-treated clementine plantations in Eastern Spain. An assessment using rainfall simulation experiments |
38 |
| Tillage management impacts on soil compaction, erosion and crop yield in Stagnosols (Croatia) |
30 |
| Spatial modelling of gully erosion in Mazandaran Province, northern Iran |
29 |
| A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil |
29 |
| Prediction of shear strength of soft soil using machine learning methods |
29 |
| A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping |
29 |
| Levels, sources, and spatial distribution of heavy metals in soils from a typical coal industrial city of Tangshan, China |
28 |
| Effects of land use and land cover on water quality of low-order streams in Southeastern Brazil: Watershed versus riparian zone |
28 |
| Human health risks of heavy metals in paddy rice based on transfer characteristics of heavy metals from soil to rice |
28 |
| Effects of vegetation and rainfall types on surface runoff and soil erosion on steep slopes on the Loess Plateau, China |
26 |
| Hybrid computational intelligence models for groundwater potential mapping |
26 |
| Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques |
25 |
| Landslide susceptibility hazard map in southwest Sweden using artificial neural network |
24 |
| Evaluation and application of a SWAT model to assess the climate change impact on the hydrology of the Himalayan River Basin |
24 |
| Seasonal changes in water quality and its main influencing factors in the Dan River basin |
23 |
| Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics |
22 |
| Status, source, ecological and health risk assessment of toxic metals and polycyclic aromatic hydrocarbons (PAHs) in street dust of Abadan, Iran |
22 |
| Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution |
22 |
| Distribution of heavy metals and metalloid in surface sediments of heavily-mined area for bauxite ore in Pengerang, Malaysia and associated risk assessment |
21 |
| Effect of biochar on the physical and structural properties of a sandy soil |
21 |
| Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping |
20 |
| The potential of hybrid evolutionary fuzzy intelligence model for suspended sediment concentration prediction |
20 |
| Recent changes in global drylands: Evidences from two major aridity databases |
19 |
| Soil resistance to flowing water erosion of seven typical plant communities on steep gully slopes on the Loess Plateau of China |
19 |
| Distribution, source and pollution level of heavy metals in river sediments from South China |
19 |
| Spatial-temporal changes of rainfall erosivity in the loess plateau, China: Changing patterns, causes and implications |
18 |
| Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques |
18 |
| Pedogenic and microbial interrelations to regional climate and local topography: New insights from a climate gradient (arid to humid) along the Coastal Cordillera of Chile |
18 |
| Responses of vegetation productivity to multi-scale drought in Loess Plateau, China |
18 |
| Repetitive land application of urban sewage sludge: Effect of amendment rates and soil texture on fertility and degradation parameters |
17 |
| Spatio-temporal changes of the climatic water balance in Romania as a response to precipitation and reference evapotranspiration trends during 1961-2013 |
17 |
| Spatial soil erosion estimation using an artificial neural network (ANN) and field plot data |
16 |
| Effect of vegetation type and season on microbial biomass carbon in Central Himalayan forest soils, India |
16 |
| Ecological stoichiometry in leaves, roots, litters and soil among different plant communities in a desertified region of Northern China |
16 |
| Effects of topographic factors on runoff and soil loss in Southwest China |
16 |
| Combination of fractional order derivative and memory-based learning algorithm to improve the estimation accuracy of soil organic matter by visible and near-infrared spectroscopy |
16 |
| Microstructural evolution of loess soils from the Loess Plateau of China |
16 |
| Reclamation promotes the succession of the soil and vegetation in opencast coal mine: A case study from Robinia pseudoacacia reclaimed forests, Pingshuo mine, China |
15 |
| Spatial variability of soil texture fractions and pH in a flood plain (case study from eastern Iran) |
15 |
| Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping |
15 |
| Mapping total soil nitrogen from a site in northeastern China |
15 |
| Study of applying naturally occurring mineral sorbents of Poland (dolomite halloysite, chalcedonite) for aided phytostabilization of soil polluted with heavy metals |
15 |
