# Soil Geostatistics and Mapping

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/soil-geostatistics-and-mapping/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers represents advances in digital soil mapping techniques, including the use of geostatistics, remote sensing, spectroscopy, and machine learning for mapping and predicting soil properties. The focus is on spatial interpolation, global soil information, and the application of these techniques for soil security and terrain analysis. |
| Domain | Physical Sciences |
| Field | Environmental Science |
| OpenAlex ID | t10770 |
| Works | 35 |

## Topic papers all

Showing 15 of 35.

- [Storage, patterns and controls of soil organic carbon in the Tibetan grasslands](https://scholariq.org/papers/storage-patterns-and-controls-of-soil-organic-carbon-in-the-tibetan-grasslands/)
- [An overview and comparison of machine-learning techniques for classification purposes in digital soil mapping](https://scholariq.org/papers/an-overview-and-comparison-of-machine-learning-techniques-for-classification/)
- [Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty](https://scholariq.org/papers/global-soil-nitrous-oxide-emissions-since-the-preindustrial-era-estimated-by-an/)
- [Predictive soil parent material mapping at a regional-scale: A Random Forest approach](https://scholariq.org/papers/predictive-soil-parent-material-mapping-at-a-regional-scale-a-random-forest/)
- [RADARSAT-2 Polarimetric SAR Response to Crop Biomass for Agricultural Production Monitoring](https://scholariq.org/papers/radarsat-2-polarimetric-sar-response-to-crop-biomass-for-agricultural-production/)
- [Early season monitoring of corn and soybeans with TerraSAR-X and RADARSAT-2](https://scholariq.org/papers/early-season-monitoring-of-corn-and-soybeans-with-terrasar-x-and-radarsat-2/)
- [FROM-GC: 30 m global cropland extent derived through multisource data integration](https://scholariq.org/papers/from-gc-30-m-global-cropland-extent-derived-through-multisource-data-integration/)
- [Statistical distributions of air pollutant concentrations](https://scholariq.org/papers/statistical-distributions-of-air-pollutant-concentrations/)
- [Machine Learning Algorithms for Automatic Lithological Mapping Using Remote Sensing Data: A Case Study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti-Atlas, Morocco](https://scholariq.org/papers/machine-learning-algorithms-for-automatic-lithological-mapping-using-remote/)
- [Bayesian Hierarchical Spatially Correlated Functional Data Analysis with Application to Colon Carcinogenesis](https://scholariq.org/papers/bayesian-hierarchical-spatially-correlated-functional-data-analysis-with/)
- [Remote sensing data in lithium (Li) exploration: A new approach for the detection of Li-bearing pegmatites](https://scholariq.org/papers/remote-sensing-data-in-lithium-li-exploration-a-new-approach-for-the-detection/)
- [Wavelets and Field Forecast Verification](https://scholariq.org/papers/wavelets-and-field-forecast-verification/)
- [Quantile regression as a generic approach for estimating uncertainty of digital soil maps produced from machine-learning](https://scholariq.org/papers/quantile-regression-as-a-generic-approach-for-estimating-uncertainty-of-digital/)
- [Mapping field-scale soil organic carbon with unmanned aircraft system-acquired time series multispectral images](https://scholariq.org/papers/mapping-field-scale-soil-organic-carbon-with-unmanned-aircraft-system-acquired/)
- [Effects of cropland reclamation on soil organic carbon in China's black soil region over the past 35 years](https://scholariq.org/papers/effects-of-cropland-reclamation-on-soil-organic-carbon-in-china-s-black-soil/)

## Topic primary papers

- [An overview and comparison of machine-learning techniques for classification purposes in digital soil mapping](https://scholariq.org/papers/an-overview-and-comparison-of-machine-learning-techniques-for-classification/)
- [Predictive soil parent material mapping at a regional-scale: A Random Forest approach](https://scholariq.org/papers/predictive-soil-parent-material-mapping-at-a-regional-scale-a-random-forest/)
- [Early season monitoring of corn and soybeans with TerraSAR-X and RADARSAT-2](https://scholariq.org/papers/early-season-monitoring-of-corn-and-soybeans-with-terrasar-x-and-radarsat-2/)
- [Quantile regression as a generic approach for estimating uncertainty of digital soil maps produced from machine-learning](https://scholariq.org/papers/quantile-regression-as-a-generic-approach-for-estimating-uncertainty-of-digital/)
- [A framework for optimizing environmental covariates to support model interpretability in digital soil mapping](https://scholariq.org/papers/a-framework-for-optimizing-environmental-covariates-to-support-model/)
- [Modelling soil thickness in the critical zone for Southern British Columbia](https://scholariq.org/papers/modelling-soil-thickness-in-the-critical-zone-for-southern-british-columbia/)
- [Penalized maximum likelihood estimation and variable selection in geostatistics](https://scholariq.org/papers/penalized-maximum-likelihood-estimation-and-variable-selection-in-geostatistics/)
- [Estimation of soil organic carbon by combining hyperspectral and radar remote sensing to reduce coupling effects of soil surface moisture and roughness](https://scholariq.org/papers/estimation-of-soil-organic-carbon-by-combining-hyperspectral-and-radar-remote/)
- [Soil and Landscape Grid National Soil Attribute Maps - Clay (3" resolution) - Release 1](https://scholariq.org/papers/soil-and-landscape-grid-national-soil-attribute-maps-clay-3-resolution-release-1/)
- [Predicting the spatial distribution of soil salinity based on multi-temporal multispectral images and environmental covariates](https://scholariq.org/papers/predicting-the-spatial-distribution-of-soil-salinity-based-on-multi-temporal/)
- [Variable selection in spatial regression via penalized least squares](https://scholariq.org/papers/variable-selection-in-spatial-regression-via-penalized-least-squares/)
- [Spatial estimation of the thickness of low permeability topsoil materials by using a combined ordinary-indicator kriging approach with multiple thresholds](https://scholariq.org/papers/spatial-estimation-of-the-thickness-of-low-permeability-topsoil-materials-by/)
- [Enhancing Agricultural Sustainability through Data-Driven Yield Prediction and Soil Nutrient Analysis](https://scholariq.org/papers/enhancing-agricultural-sustainability-through-data-driven-yield-prediction-and/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.