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On the Accuracy and Biais of Digital Soil Carbon Maps: Assessment from Independent Research Studies Worldwide

https://doi.org/10.2139/ssrn.4899064
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Digital Mapping of Soil Carbon
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Towards spatial geochemical modelling: Use of geographically weighted regression for mapping soil organic carbon contents in Ireland
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Ambiguities inherent in sums-of-squares-based error statistics
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Small scale digital soil mapping in Southeastern Kenya
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Predictive mapping of soil organic carbon in Northeast Algeria
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Machine learning for digital soil mapping: Applications, challenges and suggested solutions
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Spatial prediction of soil organic matter content integrating artificial neural network and ordinary kriging in Tibetan Plateau
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Fine-resolution mapping of soil organic carbon based on multivariate secondary data
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Sampling optimization based on secondary information and its utilization in soil carbon mapping
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High resolution topsoil mapping using hyperspectral image and field data in multivariate regression modeling procedures
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Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysis
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Implementation and evaluation of existing knowledge for digital soil mapping in Senegal
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Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy
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Can the spatial prediction of soil organic matter contents at various sampling scales be improved by using regression kriging with auxiliary information?
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A simplified approach for estimating soil carbon and nitrogen stocks in semi-arid complex terrain
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Soil carbon mapping using on-the-go near infrared spectroscopy, topography and aerial photographs
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Digital mapping of soil organic matter for rubber plantation at regional scale: An application of random forest plus residuals kriging approach
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Mapping soil organic carbon content by geographically weighted regression: A case study in the Heihe River Basin, China
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Digital mapping of soil carbon in a viticultural region of Southern Brazil
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Soil carbon 4 per mille
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Digital mapping of soil properties using multiple machine learning in a semi-arid region, central Iran
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Modelling and mapping soil organic carbon stocks in Brazil
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Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review
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Evaluating Digital Soil Mapping approaches for mapping GlobalSoilMap soil properties from legacy data in Languedoc-Roussillon (France)
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Spatial distribution of soil carbon stocks in a semi-arid region of India
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Sources and main controls of dissolved organic and inorganic carbon in river basins: A worldwide meta-analysis
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Mapping soil organic matter in the Baranja region (Croatia): Geological and anthropic forcing parameters
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Effects of different sampling densities on geographically weighted regression kriging for predicting soil organic carbon
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inferredcites →https://doi.org/10.1016/j.still.2014.12.002openalex-snapshot
Comparing geospatial techniques to predict SOC stocks
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Assessment of spatial variability of soil properties using geospatial techniques for farm level nutrient management
inferredcites →https://doi.org/10.1016/s0016-7061(00)00042-2openalex-snapshot
Comparison of kriging with external drift and simple linear regression for predicting soil horizon thickness with different sample densities
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Using knowledge discovery with data mining from the Australian Soil Resource Information System database to inform soil carbon mapping in Australia
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Spatial distribution of soil organic carbon stock in Moso bamboo forests in subtropical China
inferredcites →https://doi.org/10.1080/22797254.2022.2045226openalex-snapshot
Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic
inferredcites →https://doi.org/10.1097/00010694-198303000-00007openalex-snapshot
HOW MANY OBSERVATIONS ARE NEEDED FOR REGIONAL ESTIMATION OF SOIL PROPERTIES?
inferredcites →https://doi.org/10.1097/00010694-200101000-00008openalex-snapshot
SOIL CARBON STORAGE PREDICTION IN TEMPERATE HYDROMORPHIC SOILS USING A MORPHOLOGIC INDEX AND DIGITAL ELEVATION MODEL
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TESTING QUANTITATIVE SOIL-LANDSCAPE MODELS FOR PREDICTING THE SOIL HYDROMORPHIC INDEX AT A REGIONAL SCALE
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Airborne radiometric survey data and a DTM as covariates for regional scale mapping of soil organic carbon across Northern Ireland
inferredcites →https://doi.org/10.1371/journal.pone.0105519openalex-snapshot
Digital Mapping of Soil Organic Carbon Contents and Stocks in Denmark
inferredcites →https://doi.org/10.17221/2097-swropenalex-snapshot
Comparison of soil maps with different scales and details belonging to the same area
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Soil organic carbon mapping and prediction based on depth intervals using kriging technique: A case of study in alluvial soil from Sudan
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Field‐Scale Mapping of Surface Soil Organic Carbon Using Remotely Sensed Imagery
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Comparison of Methods for Interpolating Soil Properties Using Limited Data
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Soil Carbon Storage Estimation in a Forested Watershed using Quantitative Soil‐Landscape Modeling
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Predicting the Spatial Variation of the Soil Organic Carbon Pool at a Regional Scale
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A Comparative Assessment of Geostatistical, Machine Learning, and Hybrid Approaches for Mapping Topsoil Organic Carbon Content
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Exploring the Sensitivity of Sampling Density in Digital Mapping of Soil Organic Carbon and Its Application in Soil Sampling
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Global soil carbon: understanding and managing the largest terrestrial carbon pool
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Spatial distribution of soil organic carbon stocks in France
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Soil carbon cycling and sequestration in a seasonally saturated wetland receiving agricultural runoff
inferredcites →https://doi.org/10.5194/soil-4-1-2018openalex-snapshot
Evaluation of digital soil mapping approaches with large sets of environmental covariates
inferredcites →https://doi.org/10.5194/soil-4-173-2018openalex-snapshot
No silver bullet for digital soil mapping: country-specific soil organic carbon estimates across Latin America
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