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"

A Spatio-temporal Framework for Soil Property Prediction with Digital Soil Mapping (DSM)

Annual mapping of soil organic carbon stock in Brazil 1985-present. Training field soil data

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"

R scripts for predicting soil organic carbon using soil spectral library from visible, near-infrared and shortwave-infrared (VNIR) and middle-infrared (MIR) using LASSO and PLS regression methods and the target-oriented cross-validation strategy.

Code associated with the dataPaper

"Personalizing Sustainable Agriculture with Causal Machine Learning". Best Proposal Paper of "Tackling Climate Change with Machine Learning" Workshop, NeurIPS'22.

This repository contains data and code for the manuscript: Spatial access and resource limitations control carbon mineralization in soils. Kaizad F. Patel et al. doi: 10.1016/j.soilbio.2021.108427

How can we get an accurate estimate of carbon stocks across a landscape with minimal ground truth data?

Soilify official website