Mapping at 30 m Resolution of Soil Attributes at Multiple Depths in Midwest Brazil

Modelling and mapping soil organic carbon stocks in Brazil

(2019) Lucas Carvalho Gomes et al.   GEODERMA

Hyperparameters and tuning strategies for random forest

(2019) Philipp Probst et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

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

High-resolution three-dimensional mapping of soil organic carbon in China: Effects of SoilGrids products on national modeling

(2019) Zongzheng Liang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Modern Trends and Problems of Soil Mapping

(2019) I. Yu. Savin et al.   EURASIAN SOIL SCIENCE

Is it possible to map subsurface soil attributes by satellite spectral transfer models?

(2019) Wanderson de S. Mendes et al.   GEODERMA

The strength of soil-plant interactions under forest is related to a Critical Soil Depth

(2019) Philipp Goebes et al.   Scientific Reports

Pedology and soil class mapping from proximal and remote sensed data

(2019) Raúl R. Poppiel et al.   GEODERMA

The Brazilian Soil Spectral Library (BSSL): A general view, application and challenges

(2019) José A.M. Demattê et al.   GEODERMA

Satellite data integration for soil clay content modelling at a national scale

(2019) T. Loiseau et al.   International Journal of Applied Earth Observation and Geoinformation

Assessing the pasturelands and livestock dynamics in Brazil, from 1985 to 2017: A novel approach based on high spatial resolution imagery and Google Earth Engine cloud computing

(2019) Leandro Parente et al.   REMOTE SENSING OF ENVIRONMENT

Some practical aspects of predicting texture data in digital soil mapping

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

Mapping LUCAS topsoil chemical properties at European scale using Gaussian process regression

(2019) Cristiano Ballabio et al.   GEODERMA

Characterization of the spatial variability of surface topography and moisture content and its influence on potato crop yield

(2018) Khalid A. Al-Gaadi et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Geospatial Soil Sensing System (GEOS3): A powerful data mining procedure to retrieve soil spectral reflectance from satellite images

(2018) José Alexandre Melo Demattê et al.   REMOTE SENSING OF ENVIRONMENT

Building an exposed soil composite processor (SCMaP) for mapping spatial and temporal characteristics of soils with Landsat imagery (1984–2014)

(2018) Derek Rogge et al.   REMOTE SENSING OF ENVIRONMENT

Soil quality – A critical review

(2018) Else K. Bünemann et al.   SOIL BIOLOGY & BIOCHEMISTRY

Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images

(2018) Caio Fongaro et al.   Remote Sensing

Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential

(2018) Tomislav Hengl et al.   PeerJ

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

(2018) Tomislav Hengl et al.   PeerJ

Multi-Temporal Satellite Images on Topsoil Attribute Quantification and the Relationship with Soil Classes and Geology

(2018) Bruna Gallo et al.   Remote Sensing

Digital mapping of soil carbon fractions with machine learning

(2018) Hamza Keskin et al.   GEODERMA

Hyper-temporal remote sensing for digital soil mapping: Characterizing soil-vegetation response to climatic variability

(2017) Jonathan J. Maynard et al.   GEODERMA

ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

(2017) Marvin N. Wright et al.   Journal of Statistical Software

Google Earth Engine: Planetary-scale geospatial analysis for everyone

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

Barest Pixel Composite for Agricultural Areas Using Landsat Time Series

(2017) et al.   Remote Sensing

SoilGrids250m: Global gridded soil information based on machine learning

(2017) Tomislav Hengl et al.   PLoS One

Creating Multi-Temporal Composites of Airborne Imaging Spectroscopy Data in Support of Digital Soil Mapping

(2016) Sanne Diek et al.   Remote Sensing

Impact of multi-scale predictor selection for modeling soil properties

(2015) Bradley A. Miller et al.   GEODERMA

The Australian three-dimensional soil grid: Australia’s contribution to the GlobalSoilMap project

(2015) R. A. Viscarra Rossel et al.   Soil Research

Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions

(2015) Tomislav Hengl et al.   PLoS One

SoilGrids1km — Global Soil Information Based on Automated Mapping

(2014) Tomislav Hengl et al.   PLoS One

Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy

(2010) Véronique Bellon-Maurel et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Using knowledge discovery with data mining from the Australian Soil Resource Information System database to inform soil carbon mapping in Australia

(2009) Elisabeth Bui et al.   GLOBAL BIOGEOCHEMICAL CYCLES

Vegetation as an Indicator of Soil Properties and Water Quality in the Akarçay Stream (Turkey)

(2008) Ahmet Serteser et al.   ENVIRONMENTAL MANAGEMENT