Related references
Note: Only part of the references are listed.Prediction of Soil Depth in Karnataka Using Digital Soil Mapping Approach
S. Dharumarajan et al.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING (2020)
Pedotransfer functions for predicting available water capacity in French soils, their applicability domain and associated uncertainty
Mercedes Roman Dobarco et al.
GEODERMA (2019)
Uncertainty assessment of GlobalSoilMap soil available water capacity products: A French case study
M. Roman Dobarco et al.
GEODERMA (2019)
Prediction of soil available water-holding capacity from visible near-infrared reflectance spectra
Michael Blaschek et al.
SCIENTIFIC REPORTS (2019)
What is the Best Inference Trajectory for Mapping Soil Functions: An Example of Mapping Soil Available Water Capacity over Languedoc Roussillon (France)
Quentin Styc et al.
SOIL SYSTEMS (2019)
Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics
Brigitta Szabo et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2019)
Pedotransfer functions for predicting soil hydraulic properties in semi-arid regions of Karnataka Plateau, India
S. Dharumarajan et al.
CURRENT SCIENCE (2019)
Mapping rootable depth and root zone plant-available water holding capacity of the soil of sub-Saharan Africa
Johan G. B. Leenaars et al.
GEODERMA (2018)
Pedotransfer functions to estimate soil water content at field capacity and permanent wilting point in hot Arid Western India
Priyabrata Santra et al.
JOURNAL OF EARTH SYSTEM SCIENCE (2018)
Spatial predictions of the permanent wilting point in arid and semi-arid regions of Northeast China
Xinxin Jin et al.
JOURNAL OF HYDROLOGY (2018)
A High-Resolution Global Map of Soil Hydraulic Properties Produced by a Hierarchical Parameterization of a Physically Based Water Retention Model
Yonggen Zhang et al.
WATER RESOURCES RESEARCH (2018)
Evaluation of digital soil mapping approaches with large sets of environmental covariates
Madlene Nussbaum et al.
SOIL (2018)
Using quantile regression forest to estimate uncertainty of digital soil mapping products
Kevin Vaysse et al.
GEODERMA (2017)
3D soil hydraulic database of Europe at 250 m resolution
Brigitta Toth et al.
HYDROLOGICAL PROCESSES (2017)
Mapping the global depth to bedrock for land surface modeling
Wei Shangguan et al.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2017)
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
Gerald Forkuor et al.
PLOS ONE (2017)
SoilGrids250m: Global gridded soil information based on machine learning
Tomislav Hengl et al.
PLOS ONE (2017)
A global data set of soil hydraulic properties and sub-grid variability of soil water retention and hydraulic conductivity curves
Carsten Montzka et al.
EARTH SYSTEM SCIENCE DATA (2017)
Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy
Antonios Morellos et al.
BIOSYSTEMS ENGINEERING (2016)
Modelling soil organic carbon 1. Performance of APSIM crop and pasture modules against long-term experimental data
Garry J. O'Leary et al.
GEODERMA (2016)
Divergent responses of vegetation aboveground net primary productivity to rainfall pulses in the Inner Mongolian Plateau, China
Ying Fan et al.
JOURNAL OF ARID ENVIRONMENTS (2016)
Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile
J. Lopatin et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Evaluating large-extent spatial modeling approaches: A case study for soil depth for France
M. Lacoste et al.
GEODERMA REGIONAL (2016)
The effect of soil stoniness on the estimation of water retention properties of soils: A case study from central France
M. Tetegan et al.
CATENA (2015)
The Australian three-dimensional soil grid: Australia's contribution to the GlobalSoilMap project
R. A. Viscarra Rossel et al.
SOIL RESEARCH (2015)
Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions
Tomislav Hengl et al.
PLOS ONE (2015)
Development of pedotransfer functions for coastal plain soils using terrain attributes
J. C. Obi et al.
CATENA (2014)
Digital soil mapping of available water content using proximal and remotely sensed data
L. Gooley et al.
SOIL USE AND MANAGEMENT (2014)
Functional Digital Soil Mapping for the Prediction of Available Water Capacity in Nigeria using Legacy Data
Sabastine Ugbemuna Ugbaje et al.
VADOSE ZONE JOURNAL (2013)
Predicting and mapping soil available water capacity in Korea
Suk Young Hong et al.
PEERJ (2013)
Mapping soil water holding capacity over large areas to predict potential production of forest stands
Christian Piedallu et al.
GEODERMA (2011)
Soil available water capacity interpolation and spatial uncertainty modelling at multiple geographical extents
Laura Poggio et al.
GEODERMA (2010)
An empirical geomorphology-based approach to the spatial prediction of soil thickness at catchment scale
Filippo Catani et al.
WATER RESOURCES RESEARCH (2010)
Prediction of soil depth using environmental variables in an anthropogenic landscape, a case study in the Western Ghats of Kerala, India
Sekhar L. Kuriakose et al.
CATENA (2009)
Mapping continuous depth functions of soil carbon storage and available water capacity
B. P. Malone et al.
GEODERMA (2009)
Prediction of soil water retention properties after stratification by combining texture, bulk density and the type of horizon
H. Al Majou et al.
SOIL USE AND MANAGEMENT (2008)
Variation of the water-retention properties of soils: Validity of class-pedotransfer functions
Hassan Al Majou et al.
COMPTES RENDUS GEOSCIENCE (2007)
High resolution topsoil mapping using hyperspectral image and field data in multivariate regression modeling procedures
Thomas Selige et al.
GEODERMA (2006)
Soil moisture estimation using an artificial neural network: a feasibility study
HL Jiang et al.
CANADIAN JOURNAL OF REMOTE SENSING (2004)
A multiresolution index of valley bottom flatness for mapping depositional areas
JC Gallant et al.
WATER RESOURCES RESEARCH (2003)
Overview of the radiometric and biophysical performance of the MODIS vegetation indices
A Huete et al.
REMOTE SENSING OF ENVIRONMENT (2002)
Uncertainty analysis for pedotransfer functions
B Minasny et al.
EUROPEAN JOURNAL OF SOIL SCIENCE (2002)
Prediction of soil water retention using soil physical data and terrain attributes
N Romano et al.
JOURNAL OF HYDROLOGY (2002)
A possible bistable evolution of soil thickness
P D'Odorico
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2000)
Share Paper
