digital-soil-mapping
Here are 20 public repositories matching this topic...
Algorithms for Quantitative Pedology
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May 23, 2024 - 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"
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Mar 7, 2024 - Python
S4SS: Statistics for Soil Survey
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Apr 12, 2024 - HTML
Workspace for projects and active development.
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Sep 9, 2020 - HTML
Examples and utilities for performing Digital Soil Mapping (DSM) with python
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Aug 23, 2022 - Python
Solving for y: digital soil mapping using statistical models and improved models of land surface
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Nov 15, 2018 - HTML
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"
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Jul 26, 2022 - Python
Download raster data from the Soil and Landscape Grid of Australia - http://www.clw.csiro.au/aclep/soilandlandscapegrid/
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Jan 10, 2024 - R
Tier 4 maps of soil pH at 25m resolution for the Netherlands
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Jan 22, 2024 - 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.
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Jan 2, 2023 - R
Spatial modelling via QGIS-R integration
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Sep 5, 2020 - R
Presentation at the annual conference of the German Soil Science Society on September 4, 2023
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Dec 19, 2023 - TeX
An R implementation of the DSMART algorithm
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Jan 10, 2024 - R
Disaggregation of Conventional Soil Maps, PhD thesis
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Jan 9, 2022 - TeX
Presentation at the KIDA workshop on September 27, 2023
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Dec 19, 2023 - TeX
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.
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Oct 6, 2022 - Python
Scale Effects on Terrain Attribute Calculation and Their Use as Environmental Covariates for Digital Soil Mapping
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Nov 15, 2018 - HTML
Citizen-based mapping of paleosol/hydropedologic sequences using machine learning. The outputs contributed to the creation and management of a conservation area in Cerro Seco, southern Bogotá.
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Nov 24, 2021 - R
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