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"
- Updated
- Python
![]() |
VOOZH | about |
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"
Algorithms for Quantitative Pedology
S4SS: Statistics for Soil Survey
Download raster data from the Soil and Landscape Grid of Australia - http://www.clw.csiro.au/aclep/soilandlandscapegrid/
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"
An R implementation of the DSMART algorithm
Workspace for projects and active development.
Examples and utilities for performing Digital Soil Mapping (DSM) with python
Spatial modelling via QGIS-R integration
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.
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.
Tier 4 maps of soil pH at 25m resolution for the Netherlands
Machine learning models applied to ecological and environmental data (forestry applications): Random Forest application for modeling FF C stocks.
Presentation at the annual conference of the German Soil Science Society on September 4, 2023
Presentation at the KIDA workshop on September 27, 2023
Solving for y: digital soil mapping using statistical models and improved models of land surface
ConvKrigingNet2D · Deep learning + anisotropic residual kriging for Digital Soil Mapping · novel hybrid architecture with learned spatial autocorrelation
Add a description, image, and links to the digital-soil-mapping topic page so that developers can more easily learn about it.
To associate your repository with the digital-soil-mapping topic, visit your repo's landing page and select "manage topics."