عنوان مجله
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Azarian Journal of Agriculture
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چکیده
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The current research was directed at Lighvan watershed, northwest of Iran to investigate
ETM+ data applicability for the Soil Organic Carbon (SOC) prediction. So, Ground
Measurements (GM’s) of SOC was carried out in 225 points of study area and ETM+
data were downloaded from NASA’s website. Different linear and nonlinear regressions
were applied to predict SOC using GM’s from whole study area and bare soil only to
train the models. Results showed that ETM+ data was impractical for remote sensing of
SOC within whole study area due to vegetation effects. Contrary, ETM+ data showed
satisfactory accuracy for SOC prediction in bare soils with mean evaluating error (ER)
of 18. 34 percent for evaluation stage. A first and second order polynomial between
measured SOC and the reflectance of band 1 to 7 of the ETM+ data showed the highest
accuracy for SOC prediction with ER of 14 % and R2 of 0.665 for the evaluation stage.
Although, ETM+ data application for remote sensing of SOC were restricted by
vegetation, it seems that EMT+ data showed enough accuracy for predicting SOC
through bare soils.
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