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Optimising Satellite-Based Soil Spectra Extraction for Predicting Agricultural Soil Carbon Content Across Europe
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Quantitatively Predicting Soil Carbon Across Landscapes
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Imaging Spectroscopy for Soil Mapping and Monitoring
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Color enhancement of highly correlated images. II. Channel ratio and “chromaticity” transformation techniques
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Remote sensing of arid soil surface color with Landsat thematic mapper
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Soil Spectroscopy: An Alternative to Wet Chemistry for Soil Monitoring
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Stabilization of Soil Organic Carbon as Influenced by Clay Mineralogy
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A conditioned Latin hypercube method for sampling in the presence of ancillary information
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Carbon sequestration in croplands: the potential in Europe and the global context
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Evaluation of conditioned Latin hypercube sampling for soil mapping based on a machine learning method
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Predictive soil mapping using historic bare soil composite imagery and legacy soil survey data
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Improving soil organic carbon predictions from a Sentinel–2 soil composite by assessing surface conditions and uncertainties
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Using local ensemble models and Landsat bare soil composites for large-scale soil organic carbon maps in cropland
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Soil organic carbon mapping utilizing convolutional neural networks and Earth observation data, a case study in Bavaria state Germany
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A European soil organic carbon monitoring system leveraging Sentinel 2 imagery and the LUCAS soil data base
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Evaluation framework for the generation of continental bare surface reflectance composites
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Assessing the capability of Sentinel-2 time-series to estimate soil organic carbon and clay content at local scale in croplands
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The relevance of sustainable soil management within the European Green Deal
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Cellulose absorption index (CAI) to quantify mixed soil–plant litter scenes
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Google Earth Engine: Planetary-scale geospatial analysis for everyone
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Building an exposed soil composite processor (SCMaP) for mapping spatial and temporal characteristics of soils with Landsat imagery (1984–2014)
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Geospatial Soil Sensing System (GEOS3): A powerful data mining procedure to retrieve soil spectral reflectance from satellite images
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On digital soil mapping
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The reflectance spectra of organic matter in the visible near-infrared and short wave infrared region (400–2500 nm) during a controlled decomposition process
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Reflectance spectroscopy: Quantitative analysis techniques for remote sensing applications
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Soil carbon is the blind spot of European national GHG inventories
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Surface soil moisture quantification models from reflectance data under field conditions
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The soil line concept in remote sensing
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Agriculture in 2050: Recalibrating Targets for Sustainable Intensification
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Accounting for the effects of water and the environment on proximally sensed vis– NIR soil spectra and their calibrations
inferredcites →https://doi.org/10.1111/ejss.13271openalex-snapshot
Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century
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Influence of Soil Texture on the Estimation of Soil Organic Carbon From Sentinel‐2 Temporal Mosaics at 34 European Sites
inferredcites →https://doi.org/10.1111/gcb.14815openalex-snapshot
How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal
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Total carbon and nitrogen in the soils of the world
inferredcites →https://doi.org/10.1139/cjss-2020-0009openalex-snapshot
Reducing moisture effects on soil organic carbon content prediction in visible and near-infrared spectra with an external parameter othogonalization algorithm
inferredcites →https://doi.org/10.2136/sssaj2002.7220openalex-snapshot
Moisture Effects on Soil Reflectance
inferredcites →https://doi.org/10.2136/sssaj2004.0362openalex-snapshot
Soil Property Analysis using Principal Components Analysis, Soil Line, and Regression Models
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An Automated Soil Line Identification Routine for Remotely Sensed Images
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Effect of Soil Spectral Properties on Remote Sensing of Crop Residue Cover
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Soil Organic Carbon Mapping Using LUCAS Topsoil Database and Sentinel-2 Data: An Approach to Reduce Soil Moisture and Crop Residue Effects
inferredcites →https://doi.org/10.3390/rs12121913openalex-snapshot
Soil Organic Carbon Mapping from Remote Sensing: The Effect of Crop Residues
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What is the proper way to apply the multiple comparison test?
inferredcites →https://doi.org/10.5194/soil-7-217-2021openalex-snapshot
SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty
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Soil carbon sequestration potential in global croplands
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