Prediction of topsoil organic carbon based on vegetation indices derived from Landsat-8 OLI images in semiarid rangelands of Semnan province, Iran

Organic carbon is one of the foremost basic soil quality indices, affecting almost all the soil’s physical, chemical, and biological properties. Digital soil mapping (DSM) of soil organic carbon (SOC) is crucial in building different environmental models. Regarding the high correlation of vegetation...

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Veröffentlicht in:	Arabian journal of geosciences 2022, Vol.15 (14), Article 1304
Hauptverfasser:	Nateghi, Saeedeh, Souri, Mahshid, Khalifehzadeh, Rostam, Khodagholi, Morteza, Amiri, Fazel
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological properties Carbon Climatic conditions Correlation coefficient Correlation coefficients Dependent variables Digital mapping Earth and Environmental Science Earth science Earth Sciences Environment models Environmental modeling Independent variables Landsat Moisture effects Moisture index Normalized difference vegetative index Organic carbon Organic soils Original Paper Prediction models Rangelands Regression analysis Remote sensing Root-mean-square errors Satellite imagery Soil Soil chemistry Soil mapping Soil moisture Soil properties Soil quality Soils Statistical analysis Topsoil Variables Vegetation Vegetation index
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