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Hydrology of the Forest City basin, Mid-Continent, USA: implications for CO2 sequestration in the St. Peter Sandstone

Environmental earth sciences, 2015-02, Vol.73 (4), p.1409-1425

2015

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Evapotranspiration as a response to climate variability and ecosystem changes in southwest, China

Environmental earth sciences, 2020-06, Vol.79 (12), Article 312

2020

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Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches

Environmental earth sciences, 2016-08, Vol.75 (15), p.1, Article 1120

2016

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The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China

Environmental earth sciences, 2017-06, Vol.76 (11), p.1, Article 405

2017

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Characterization of groundwater potential zones in water-scarce hardrock regions using data driven model

Environmental earth sciences, 2021-12, Vol.80 (24), Article 809

2021

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Ensemble approach to develop landslide susceptibility map in landslide dominated Sikkim Himalayan region, India

Environmental earth sciences, 2020-10, Vol.79 (20), Article 476

2020

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Forest fire susceptibility mapping in the Minudasht forests, Golestan province, Iran

Environmental earth sciences, 2015-02, Vol.73 (4), p.1515-1533

2015

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Changes in the constituents of the “Bosque de Agua” of the Sierra Cruces-Ajusco-Chichinautzín, Mexico, an area with payment for environmental services

Environmental earth sciences, 2021-10, Vol.80 (20), p.703-703, Article 703

2021

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Hybrid regularization and weighted subspace algorithms with random forest model for assessing piping erosion in semi-arid ecosystem

Environmental earth sciences, 2023-11, Vol.82 (22), p.527, Article 527

2023

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Land subsidence susceptibility assessment using random forest machine learning algorithm

Environmental earth sciences, 2019-08, Vol.78 (16), p.1-12, Article 503

2019

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Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran

Environmental earth sciences, 2016-02, Vol.75 (3), p.1, Article 185

2016

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Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea

Environmental earth sciences, 2013-03, Vol.68 (5), p.1443-1464

2013

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Assessing landslide susceptibility using a machine learning-based approach to achieving land degradation neutrality

Environmental earth sciences, 2021-09, Vol.80 (17), Article 575

2021

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GIS-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran

Environmental earth sciences, 2016-04, Vol.75 (8), p.1-19, Article 665

2016

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Understanding the vulnerability of surface–groundwater interactions to climate change: insights from a Bavarian Forest headwater catchment

Environmental earth sciences, 2024, Vol.83 (1), p.12, Article 12

2024

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Appraisal of land use/land cover of mangrove forest ecosystem using support vector machine

Environmental earth sciences, 2014-03, Vol.71 (5), p.2245-2255

2014

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Predictive modeling of elevated groundwater nitrate in a karstic spring-contributing area using random forests and regression-kriging

Environmental earth sciences, 2019-05, Vol.78 (9), p.1-11, Article 271

2019

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Quantifying the impacts of land use/land cover change on the water balance in the afforested River Basin, Pakistan

Environmental earth sciences, 2020-10, Vol.79 (19), Article 448

2020

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Soil organic carbon sequestration following a secondary succession of agricultural abandonment in the karst region of southwest China

Environmental earth sciences, 2022-10, Vol.81 (19), Article 467

2022

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Soil erosion susceptibility assessment using logistic regression, decision tree and random forest: study on the Mayurakshi river basin of Eastern India

Environmental earth sciences, 2021-04, Vol.80 (8), Article 328

2021

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Stacking ensemble of machine learning methods for landslide susceptibility mapping in Zhangjiajie City, Hunan Province, China

Environmental earth sciences, 2023, Vol.82 (1), p.35, Article 35

2023

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Stable and radiogenic strontium isotope cycling in a representative karst forest ecosystem, Southwest China

Environmental earth sciences, 2021-11, Vol.80 (22), Article 741

2021

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Integrated impact of land use/cover and topography on hydrological extremes in the Baro River Basin

Environmental earth sciences, 2024, Vol.83 (2), p.49, Article 49

2024

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Risk modelling of soil erosion in semi-arid watershed of Tamil Nadu, India using RUSLE integrated with GIS and Remote Sensing

Environmental earth sciences, 2021-08, Vol.80 (16), Article 511

2021

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Deformation prediction of reservoir landslides based on a Bayesian optimized random forest-combined Kalman filter

Environmental earth sciences, 2022-04, Vol.81 (7), Article 197

2022

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Hydrology of the Forest City basin, Mid-Continent, USA: implications for CO2 sequestration in the St. Peter Sandstone

Evapotranspiration as a response to climate variability and ecosystem changes in southwest, China

Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches

The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China

Characterization of groundwater potential zones in water-scarce hardrock regions using data driven model

Ensemble approach to develop landslide susceptibility map in landslide dominated Sikkim Himalayan region, India

Forest fire susceptibility mapping in the Minudasht forests, Golestan province, Iran

Changes in the constituents of the “Bosque de Agua” of the Sierra Cruces-Ajusco-Chichinautzín, Mexico, an area with payment for environmental services

Hybrid regularization and weighted subspace algorithms with random forest model for assessing piping erosion in semi-arid ecosystem

Land subsidence susceptibility assessment using random forest machine learning algorithm

Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran

Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea

Assessing landslide susceptibility using a machine learning-based approach to achieving land degradation neutrality

GIS-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran

Understanding the vulnerability of surface–groundwater interactions to climate change: insights from a Bavarian Forest headwater catchment

Appraisal of land use/land cover of mangrove forest ecosystem using support vector machine

Predictive modeling of elevated groundwater nitrate in a karstic spring-contributing area using random forests and regression-kriging

Quantifying the impacts of land use/land cover change on the water balance in the afforested River Basin, Pakistan

Soil organic carbon sequestration following a secondary succession of agricultural abandonment in the karst region of southwest China

Soil erosion susceptibility assessment using logistic regression, decision tree and random forest: study on the Mayurakshi river basin of Eastern India

Stacking ensemble of machine learning methods for landslide susceptibility mapping in Zhangjiajie City, Hunan Province, China

Stable and radiogenic strontium isotope cycling in a representative karst forest ecosystem, Southwest China

Integrated impact of land use/cover and topography on hydrological extremes in the Baro River Basin

Risk modelling of soil erosion in semi-arid watershed of Tamil Nadu, India using RUSLE integrated with GIS and Remote Sensing

Deformation prediction of reservoir landslides based on a Bayesian optimized random forest-combined Kalman filter

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