Digital Soil Texture Mapping and Spatial Transferability of Machine Learning Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates

Synergetic use of multi-temporal Sentinel-1, Sentinel-2, NDVI, and topographic factors for estimating soil organic carbon

(2022) Hossein Shafizadeh-Moghadam et al.   CATENA

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

(2022) James Kobina Mensah Biney et al.   SOIL & TILLAGE RESEARCH

Semi-supervised learning for the spatial extrapolation of soil information

(2022) Ruhollah Taghizadeh-Mehrjardi et al.   GEODERMA

Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions

(2021) Ruhollah Taghizadeh-Mehrjardi et al.   Remote Sensing

Digital mapping of soil classes using spatial extrapolation with imbalanced data

(2021) Mehrnaz Neyestani et al.   Geoderma Regional

Fully component selection: An efficient combination of feature selection and principal component analysis to increase model performance

(2021) Hossein Shafizadeh-Moghadam   EXPERT SYSTEMS WITH APPLICATIONS

Extrapolation of a structural equation model for digital soil mapping

(2020) M.E. Angelini et al.   GEODERMA

Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space

(2020) Ruhollah Taghizadeh-Mehrjardi et al.   Remote Sensing

High-resolution digital mapping of soil organic carbon and soil total nitrogen using DEM derivatives, Sentinel-1 and Sentinel-2 data based on machine learning algorithms

(2020) Tao Zhou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Digital mapping of soil texture classes using Random Forest classification algorithm Digital mapping of soil texture classes

(2020) S. Dharumarajan et al.   SOIL USE AND MANAGEMENT

Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture

(2020) Philip Marzahn et al.   Remote Sensing

Use of Sentinel-2 Time-Series Images for Classification and Uncertainty Analysis of Inherent Biophysical Property: Case of Soil Texture Mapping

(2019) Cécile Gomez et al.   Remote Sensing

Imaging Spectroscopy for Soil Mapping and Monitoring

(2019) S. Chabrillat et al.   SURVEYS IN GEOPHYSICS

Sentinel-2 image capacities to predict common topsoil properties of temperate and Mediterranean agroecosystems

(2019) E. Vaudour et al.   REMOTE SENSING OF ENVIRONMENT

Pedology and digital soil mapping (DSM)

(2019) Yuxin Ma et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Soil Texture Estimation Using Radar and Optical Data from Sentinel-1 and Sentinel-2

(2019) Safa Bousbih et al.   Remote Sensing

Prediction of Soil Organic Carbon based on Landsat 8 Monthly NDVI Data for the Jianghan Plain in Hubei Province, China

(2019) Yangchengsi Zhang et al.   Remote Sensing

Some practical aspects of predicting texture data in digital soil mapping

(2019) Alireza Amirian-Chakan et al.   SOIL & TILLAGE RESEARCH

Selecting appropriate machine learning methods for digital soil mapping

(2019) Yones Khaledian et al.   APPLIED MATHEMATICAL MODELLING

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

Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications

(2017) Amanda Veloso et al.   REMOTE SENSING OF ENVIRONMENT

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models

(2017) Gerald Forkuor et al.   PLoS One

Retrieving pedologist's mental model from existing soil map and comparing data mining tools for refining a larger area map under similar environmental conditions in Southeastern Brazil

(2016) Sérgio Henrique Godinho Silva et al.   GEODERMA

Fuzzy clustering of Vis–NIR spectra for the objective recognition of soil morphological horizons in soil profiles

(2016) Mario Fajardo et al.   GEODERMA

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

(2016) Brandon Heung et al.   GEODERMA

Comparing regression-based digital soil mapping and multiple-point geostatistics for the spatial extrapolation of soil data

(2016) Brendan P. Malone et al.   GEODERMA

Evaluation of the potential of the current and forthcoming multispectral and hyperspectral imagers to estimate soil texture and organic carbon

(2016) Fabio Castaldi et al.   REMOTE SENSING OF ENVIRONMENT

Improved hydrological model parametrization for climate change impact assessment under data scarcity — The potential of field monitoring techniques and geostatistics

(2016) Swen Meyer et al.   SCIENCE OF THE TOTAL ENVIRONMENT

MidDRIFTS-PLSR-based quantification of physico-chemical soil properties across two agroecological zones in Southwest Germany: generic independent validation surpasses region specific cross-validation

(2015) Reza Mirzaeitalarposhti et al.   NUTRIENT CYCLING IN AGROECOSYSTEMS

Modelling in situ activities of enzymes as a tool to explain seasonal variation of soil respiration from agro-ecosystems

(2015) Rana S. Ali et al.   SOIL BIOLOGY & BIOCHEMISTRY

Soil Clay Content Mapping Using a Time Series of Landsat TM Data in Semi-Arid Lands

(2015) Marouen Shabou et al.   Remote Sensing

Reducing the Influence of Soil Moisture on the Estimation of Clay from Hyperspectral Data: A Case Study Using Simulated PRISMA Data

(2015) Fabio Castaldi et al.   Remote Sensing

Retrieval of Both Soil Moisture and Texture Using TerraSAR-X Images

(2015) Azza Gorrab et al.   Remote Sensing

Modeling Soil Organic Carbon at Regional Scale by Combining Multi-Spectral Images with Laboratory Spectra

(2015) Yi Peng et al.   PLoS One

Estimation of soil properties at the field scale from satellite data: a comparison between spatial and non-spatial techniques

(2014) F. Castaldi et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Digital Mapping of Soil Texture Using RADARSAT-2 Polarimetric Synthetic Aperture Radar Data

(2014) Mohamed A. Niang et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Comparison of Noah simulations with eddy covariance and soil water measurements at a winter wheat stand

(2011) J. Ingwersen et al.   AGRICULTURAL AND FOREST METEOROLOGY

Landslide susceptibility assessment using SVM machine learning algorithm

(2011) Miloš Marjanović et al.   ENGINEERING GEOLOGY

The use of remote sensing in soil and terrain mapping — A review

(2011) V.L. Mulder et al.   GEODERMA

Soil Texture Estimation Over a Semiarid Area Using TerraSAR-X Radar Data

(2011) M. Zribi et al.   IEEE Geoscience and Remote Sensing Letters

Implementing large-scale and long-term functional biodiversity research: The Biodiversity Exploratories

(2010) Markus Fischer et al.   BASIC AND APPLIED ECOLOGY

Large-scale spatial variability of dried soil layers and related factors across the entire Loess Plateau of China

(2010) Yunqiang Wang et al.   GEODERMA

A soil science renaissance

(2008) Alfred E. Hartemink et al.   GEODERMA

Analysis of TerraSAR-X data and their sensitivity to soil surface parameters over bare agricultural fields

(2008) N BAGHDADI et al.   REMOTE SENSING OF ENVIRONMENT

Prediction of soil property distribution in paddy soil landscapes using terrain data and satellite information as indicators

(2007) Kay Sumfleth et al.   ECOLOGICAL INDICATORS