Prediction of topsoil organic carbon content with Sentinel-2 imagery and spectroscopic measurements under different conditions using an ensemble model approach with multiple pre-treatment combinations

Using an ensemble model coupled with portable X-ray fluorescence and visible near-infrared spectroscopy to explore the viability of mapping and estimating arsenic in an agricultural soil

(2021) James Kobina Mensah Biney et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods

(2020) Mahdieh Danesh Yazdi et al.   Remote Sensing

Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran

(2020) R. Taghizadeh-Mehrjardi et al.   GEODERMA

Comparison of Field and Laboratory Wet Soil Spectra in the Vis-NIR Range for Soil Organic Carbon Prediction in the Absence of Laboratory Dry Measurements

(2020) James Kobina Mensah Biney et al.   Remote Sensing

Ensemble modelling, uncertainty and robust predictions of organic carbon in long‐term bare‐fallow soils

(2020) Roberta Farina et al.   GLOBAL CHANGE BIOLOGY

Using scaling factors for characterizing spatial and temporal variability of soil hydraulic properties of topsoils in areas heavily affected by soil erosion

(2020) Antonín Nikodem et al.   JOURNAL OF HYDROLOGY

GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms

(2019) Alireza Arabameri et al.   Journal of Mountain Science

Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review

(2019) Sushil Lamichhane et al.   GEODERMA

Multi-model ensemble improved the prediction of trends in soil organic carbon stocks in German croplands

(2019) Catharina Riggers et al.   GEODERMA

Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity—Part I: Soil Characteristics

(2019) Angela Lausch et al.   Remote Sensing

Assessment of important soil properties related to Chinese Soil Taxonomy based on vis–NIR reflectance spectroscopy

(2018) Dongyun Xu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Internal soil standard method for the Brazilian soil spectral library: Performance and proximate analysis

(2018) Danilo Jefferson Romero et al.   GEODERMA

Image Reconstruction is a New Frontier of Machine Learning

(2018) Ge Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Sensitivity of clay content prediction to spectral configuration of VNIR/SWIR imaging data, from multispectral to hyperspectral scenarios

(2018) C. Gomez et al.   REMOTE SENSING OF ENVIRONMENT

Soil organic carbon and texture retrieving and mapping using proximal, airborne and Sentinel-2 spectral imaging

(2018) Asa Gholizadeh et al.   REMOTE SENSING OF ENVIRONMENT

Relating extent of colluvial soils to topographic derivatives and soil variables in a Luvisol sub-catchment, Central Bohemia, Czech Republic

(2018) T. Zádorová et al.   Soil and Water Research

The impact of signal pre-processing on the final interpretation of analytical outcomes – A tutorial

(2018) Paolo Oliveri et al.   ANALYTICA CHIMICA ACTA

Evaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands

(2018) Fabio Castaldi et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Removing the moisture effect in soil organic matter determination using NIR spectroscopy and PLSR with external parameter orthogonalization

(2018) Felipe B. de Santana et al.   MICROCHEMICAL JOURNAL

Ensemble deep learning-based fault diagnosis of rotor bearing systems

(2018) Sai Ma et al.   COMPUTERS IN INDUSTRY

Effect of calibration set size on prediction at local scale of soil carbon by Vis-NIR spectroscopy

(2017) Federica Lucà et al.   GEODERMA

Simple but efficient signal pre-processing in soil organic carbon spectroscopic estimation

(2017) Radim Vašát et al.   GEODERMA

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

(2017) Bahareh Kalantar et al.   Geomatics Natural Hazards & Risk

A global spectral library to characterize the world's soil

(2016) R.A. Viscarra Rossel et al.   EARTH-SCIENCE REVIEWS

An overview and comparison of machine-learning techniques for classification purposes in digital soil mapping

(2016) Brandon Heung et al.   GEODERMA

Moisture insensitive prediction of soil properties from VNIR reflectance spectra based on external parameter orthogonalization

(2016) Nuwan K. Wijewardane et al.   GEODERMA

Improving the prediction of arsenic contents in agricultural soils by combining the reflectance spectroscopy of soils and rice plants

(2016) Tiezhu Shi et al.   International Journal of Applied Earth Observation and Geoinformation

Climate-smart soils

(2016) Keith Paustian et al.   NATURE

Estimation of Soil Moisture from Optical and Thermal Remote Sensing: A Review

(2016) Dianjun Zhang et al.   SENSORS

Prediction of Common Surface Soil Properties Based on Vis-NIR Airborne and Simulated EnMAP Imaging Spectroscopy Data: Prediction Accuracy and Influence of Spatial Resolution

(2016) Andreas Steinberg et al.   Remote Sensing

Soil aggregate stability within morphologically diverse areas

(2015) Ondřej Jakšík et al.   CATENA

A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

(2015) Kennedy Were et al.   ECOLOGICAL INDICATORS

Colluvial soils as a soil organic carbon pool in different soil regions

(2015) Tereza Zádorová et al.   GEODERMA

Reflectance measurements of soils in the laboratory: Standards and protocols

(2015) Eyal Ben Dor et al.   GEODERMA

Comparison between artificial neural network and partial least squares for on-line visible and near infrared spectroscopy measurement of soil organic carbon, pH and clay content

(2015) Boyan Kuang et al.   SOIL & TILLAGE RESEARCH

Multimodel ensembles of wheat growth: many models are better than one

(2014) Pierre Martre et al.   GLOBAL CHANGE BIOLOGY

A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping

(2014) Omar F. Althuwaynee et al.   Landslides

The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties

(2013) José M. Soriano-Disla et al.   APPLIED SPECTROSCOPY REVIEWS

Combining ensemble modeling and remote sensing for mapping individual tree species at high spatial resolution

(2013) Robin Engler et al.   FOREST ECOLOGY AND MANAGEMENT

Breaking with trends in pre-processing?

(2013) Jasper Engel et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Prediction of soil organic carbon for different levels of soil moisture using Vis-NIR spectroscopy

(2012) Marco Nocita et al.   GEODERMA

Soil carbon sequestration to mitigate climate change: a critical re-examination to identify the true and the false

(2011) D. S. Powlson et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Comparison of soil reflectance spectra and calibration models obtained using multiple spectrometers

(2011) Yufeng Ge et al.   GEODERMA

Removing the effect of soil moisture from NIR diffuse reflectance spectra for the prediction of soil organic carbon

(2011) Budiman Minasny et al.   GEODERMA

Effect of Moisture Content on Prediction of Organic Carbon and pH Using Visible and Near-Infrared Spectroscopy

(2011) Yucel Tekin et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Spatial delineation of organic carbon-rich Colluvial soils in Chernozem regions by Terrain analysis and fuzzy classification

(2010) Tereza Zádorová et al.   CATENA

Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy

(2010) Antoine Stevens et al.   GEODERMA

Using data mining to model and interpret soil diffuse reflectance spectra

(2010) R.A. Viscarra Rossel et al.   GEODERMA

Soil Organic Carbon mapping of partially vegetated agricultural fields with imaging spectroscopy

(2010) Harm Bartholomeus et al.   International Journal of Applied Earth Observation and Geoinformation

Comparison of point forecast accuracy of model averaging methods in hydrologic applications

(2010) Cees G. H. Diks et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Evaluating near infrared spectroscopy for field prediction of soil properties

(2009) Budiman Minasny et al.   AUSTRALIAN JOURNAL OF SOIL RESEARCH

On-the-go VisNIR: Potential and limitations for mapping soil clay and organic carbon

(2009) Ross S. Bricklemyer et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Ensemble Classification Algorithm for Hyperspectral Remote Sensing Data

(2009) Mingmin Chi et al.   IEEE Geoscience and Remote Sensing Letters

Retrieval of chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy

(2009) Martin Schlerf et al.   International Journal of Applied Earth Observation and Geoinformation

A method to generate soilscapes from soil maps

(2009) Karsten Schmidt et al.   JOURNAL OF PLANT NUTRITION AND SOIL SCIENCE