On the public citation graph

Measuring in Situ Soil Carbon Stocks at Scale: A Study Using a Novel Handheld Visnir Probe

https://doi.org/10.2139/ssrn.4725183
0 signed · 24 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10533-022-00950-8openalex-extracted
The need for knowledge transfer and communication among stakeholders in the voluntary carbon market
inferredcites →https://doi.org/10.1016/j.biosystemseng.2016.06.005openalex-extracted
Assessment of soil properties in situ using a prototype portable MIR spectrometer in two agricultural fields
inferredcites →https://doi.org/10.1016/j.geoderma.2005.03.007openalex-extracted
Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties
inferredcites →https://doi.org/10.1016/j.geoderma.2009.01.025openalex-extracted
In situ measurements of soil colour, mineral composition and clay content by vis–NIR spectroscopy
inferredcites →https://doi.org/10.1016/j.geoderma.2009.04.005openalex-extracted
Near- versus mid-infrared diffuse reflectance spectroscopy for soil analysis emphasizing carbon and laboratory versus on-site analysis: Where are we and what needs to be done?
inferredcites →https://doi.org/10.1016/j.geoderma.2009.04.010openalex-extracted
Simulated in situ characterization of soil organic and inorganic carbon with visible near-infrared diffuse reflectance spectroscopy
inferredcites →https://doi.org/10.1016/j.geoderma.2012.07.020openalex-extracted
Prediction of soil organic carbon for different levels of soil moisture using Vis-NIR spectroscopy
inferredcites →https://doi.org/10.1016/j.geoderma.2019.114080openalex-extracted
Predicting the dry bulk density of soils across Denmark: Comparison of single-parameter, multi-parameter, and vis–NIR based models
inferredcites →https://doi.org/10.1016/j.geoderma.2020.114529openalex-extracted
Bayesian calibration of the DayCent ecosystem model to simulate soil organic carbon dynamics and reduce model uncertainty
inferredcites →https://doi.org/10.1016/j.still.2020.104604openalex-extracted
VisNIR integrated multi-sensing penetrometer for in situ high-resolution vertical soil sensing
inferredcites →https://doi.org/10.1021/es504272xopenalex-extracted
In Situ Measurements of Organic Carbon in Soil Profiles Using vis-NIR Spectroscopy on the Qinghai–Tibet Plateau
inferredcites →https://doi.org/10.1071/sr09005openalex-extracted
Evaluating near infrared spectroscopy for field prediction of soil properties
inferredcites →https://doi.org/10.1071/sr9950637openalex-extracted
Characterization and analysis of soils using mid-infrared partial least-squares .2. Correlations with some laboratory data
inferredcites →https://doi.org/10.1111/ejss.12259openalex-extracted
Prediction of volumetric soil organic carbon from field‐moist intact soil cores
inferredcites →https://doi.org/10.1111/ejss.13271openalex-extracted
Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century
inferredcites →https://doi.org/10.2136/sssaj2002.0299openalex-extracted
Inorganic Carbon Analysis by Modified Pressure-Calcimeter Method
inferredcites →https://doi.org/10.2136/sssaj2002.0640openalex-extracted
Mid-Infrared and Near-Infrared Diffuse Reflectance Spectroscopy for Soil Carbon Measurement
inferredcites →https://doi.org/10.2136/sssaj2006.0211openalex-extracted
In Situ Characterization of Soil Clay Content with Visible Near‐Infrared Diffuse Reflectance Spectroscopy
inferredcites →https://doi.org/10.2136/sssaj2016.01.0018openalex-extracted
Field‐Scale Mapping of Soil Carbon Stock with Limited Sampling by Coupling Gamma‐Ray and Vis‐NIR Spectroscopy
inferredcites →https://doi.org/10.2136/sssaj2016.02.0052openalex-extracted
Prediction of Soil Carbon in the Conterminous United States: Visible and Near Infrared Reflectance Spectroscopy Analysis of the Rapid Carbon Assessment Project
inferredcites →https://doi.org/10.2136/sssaj2016.08.0253openalex-extracted
Depth‐Specific Prediction of Soil Properties In Situ using vis‐NIR Spectroscopy
inferredcites →https://doi.org/10.32614/r.manualsopenalex-extracted
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3389/fclim.2021.686440openalex-extracted
Implementing the Soil Enrichment Protocol at Scale: Opportunities for an Agricultural Carbon Market
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-extracted
Scikit-learn: Machine Learning in Python
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.