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Coupled Vis-Nir Spectroscopy and Machine Learning Strategy for Soil Organic Carbon Prediction in the Agro-Pastoral Transitional Zone of Northwest China
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s11430-013-4808-xopenalex-extracted
Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations
inferredcites →https://doi.org/10.1016/j.compag.2015.05.002openalex-extracted
Laboratory-based evaluation of optical performance for a new soil penetrometer visible and near-infrared (VisNIR) foreoptic
inferredcites →https://doi.org/10.1016/j.geoderma.2009.12.025openalex-extracted
Using data mining to model and interpret soil diffuse reflectance spectra
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.02.408openalex-extracted
Contributions of climate change to the terrestrial carbon stock of the arid region of China: A multi-dataset analysis
inferredcites →https://doi.org/10.1016/j.scitotenv.2021.150286openalex-extracted
The spatiotemporal change of cropland and its impact on vegetation dynamics in the farming-pastoral ecotone of northern China
inferredcites →https://doi.org/10.1016/j.still.2015.07.021openalex-extracted
Estimating the soil clay content and organic matter by means of different calibration methods of vis-NIR diffuse reflectance spectroscopy
inferredcites →https://doi.org/10.1016/j.still.2022.105379openalex-extracted
Prediction of topsoil organic carbon content with Sentinel-2 imagery and spectroscopic measurements under different conditions using an ensemble model approach with multiple pre-treatment combinations
inferredcites →https://doi.org/10.1038/s41467-023-38057-9openalex-extracted
Sediment delivery to sustain the Ganges-Brahmaputra delta under climate change and anthropogenic impacts
inferredcites →https://doi.org/10.1080/01904160600767682openalex-extracted
Physical, Chemical, and Biological Changes in the Rhizosphere and Nutrient Availability
inferredcites →https://doi.org/10.1111/j.1365-2389.2012.01443.xopenalex-extracted
Quantitative analysis of soil nitrogen and carbon at a farm scale using visible and near infrared spectroscopy coupled with wavelength reduction
inferredcites →https://doi.org/10.1111/rec.13688openalex-extracted
Deploying microbes as drivers and indicators in ecological restoration
inferredcites →https://doi.org/10.2136/sssaj2009.0242openalex-extracted
Upscaling of Dynamic Soil Organic Carbon Pools in a North‐Central Florida Watershed
inferredcites →https://doi.org/10.2136/sssaj2013.07.0264openalex-extracted
Sensing of Soil Organic Carbon Using Visible and Near-Infrared Spectroscopy at Variable Moisture and Surface Roughness
inferredcites →https://doi.org/10.2136/sssaj2016.05.0136openalex-extracted
Estimation of Clay and Soil Organic Carbon Using Visible and Near‐Infrared Spectroscopy and Unground Samples
inferredcites →https://doi.org/10.5846/stxb201804030756openalex-extracted
Ecological soil C, N, and P stoichiometry of different land use patterns in the agriculture-pasture ecotone of Northern China
inferredcites →https://doi.org/10.13225/j.cnki.jccs.cn23.0329openalex-snapshot
Inversion of coal-derived carbon content in mine soils based on hyperspectral index and machine learning
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