Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"

• UpdatedMar 7, 2024
• Python

Algorithms for Quantitative Pedology

• UpdatedSep 27, 2025
• R

S4SS: Statistics for Soil Survey

• UpdatedJun 10, 2025
• HTML

Soil Organic Carbon mapping Cookbook

• UpdatedAug 29, 2020
• TeX

Download raster data from the Soil and Landscape Grid of Australia -http://www.clw.csiro.au/aclep/soilandlandscapegrid/

• UpdatedJan 10, 2024
• R

Processing Training Data for MapBiomas Soil Organic Carbon and Texture Maps in Brazil

• UpdatedNov 2, 2025
• R

Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic carbon content prediction with long time series of MODIS-based phenological variables"

• UpdatedJul 26, 2022
• Python

An R implementation of the DSMART algorithm

• UpdatedJan 10, 2024
• R

Workspace for projects and active development.

• UpdatedMar 6, 2025
• HTML

Digital Soil Mapping Focus Teams

• UpdatedJul 29, 2025
• HTML

Examples and utilities for performing Digital Soil Mapping (DSM) with python

• UpdatedAug 23, 2022
• Python

Spatial modelling via QGIS-R integration

• UpdatedSep 5, 2020
• R

This repository contains files for automated soil sampling selection using the K-Means algorithm in R. The repository is intended for researchers and practitioners interested in automated soil sampling selection using the K-Means algorithm.

• UpdatedJan 2, 2023
• R

Disaggregation of Conventional Soil Maps, PhD thesis

• UpdatedJan 9, 2022
• TeX

Tier 4 maps of soil pH at 25m resolution for the Netherlands

• UpdatedJan 22, 2024
• R

This repository contains the code of the sampling method proposed in the paper "Zhang et al. An adaptive uncertainty-guided sampling method for geospatial prediction and its application in digital soil mapping" published in IJGIS.

• UpdatedOct 6, 2022
• Python

Machine learning models applied to ecological and environmental data (forestry applications): Random Forest application for modeling FF C stocks.

• UpdatedMay 2, 2025
• R

Presentation at the annual conference of the German Soil Science Society on September 4, 2023

• UpdatedDec 19, 2023
• TeX

Presentation at the KIDA workshop on September 27, 2023

• UpdatedDec 19, 2023
• TeX

Scale Effects on Terrain Attribute Calculation and Their Use as Environmental Covariates for Digital Soil Mapping

• UpdatedNov 15, 2018
• HTML