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- W2361685685 abstract "Soil organic carbon(SOC) represents one of the major pools in global C cycle.Therefore,even small changes in SOC stocks can cause important CO2 fluxes between terrestrial ecosystems and the atmosphere.Compared to traditional methods,visible-near infrared reflectance spectroscopy has advantages such as low-cost,nondestructive and rapid analytical accuracy for the assessment of SOC.And the use of hyperspectral remote sensing is potentially an effective alternative to predict soil organic carbon content.However,the accuracy of the method depends on several factors including SOC concentration range,parent materials,soil moisture,clay,particle size and iron oxides.Moreover the natural surface conditions(vegetation,moisture,roughness or stoniness) and atmospheric and illumination conditions can have a major influence on the calibration results when using field or image spectra to assess the content of soil organic carbon.The future studies should focus on in-depth research into the influencing factors,the use of hyperspectral remote sensing image,stability of the calibration and the collection of spectral data through soil profiles." @default.
- W2361685685 created "2016-06-24" @default.
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- W2361685685 date "2009-01-01" @default.
- W2361685685 modified "2023-09-23" @default.
- W2361685685 title "Review on Estimations of Soil Organic Carbon Content Based on Hyperspectral Measurements" @default.
- W2361685685 hasPublicationYear "2009" @default.
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