DEVELOPING POINT SPECTRO TRANSFER FUNCTIONS IN SOIL ERODIBILITY PREDICTION IN VIS-NIR-SWIR RANG

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OSTOVARI Y.; GHORBANI DASHTAKI SH.; BAHRAMI H.A.; NADERI M.; ABBASI M.

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Journal: Journal of Water and Soil Year:2017 | Volume:31 | Issue:3 Page(s): 797-810

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Title

DEVELOPING POINT SPECTRO TRANSFER FUNCTIONS IN SOIL ERODIBILITY PREDICTION IN VIS-NIR-SWIR RANG

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Keywords

SPECTRAL REFLECTIONQ1

SIMAKAN DAMQ2

RADIOSPECTROMETERQ1

RAINFALL EROSIVITYQ2

USLEQ1

Abstract

Introduction: Soil erodibility (K factor) is generally considered as soil sensitivity to erosion and is highly affected by different climatic, physical, hydrological, chemical, mineralogical and biological properties. This factor can be directly determined as the mean rate of soil loss from standard plots divided by erosivity factor.Since measuring the erodibility factor in the field especially watershed scale is time-consuming and costly, this factor is commonly estimated by pedotransfer functions (PTFs) using readily available soil properties.Wischmeier and Smith (1978) developed an equation using multiple linear regressions (MLR) to estimate erodibility factor of the USA using some readily available soil properties. …

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APA: Copy

OSTOVARI, Y., GHORBANI DASHTAKI, SH., BAHRAMI, H.A., NADERI, M., & ABBASI, M.. (2017). DEVELOPING POINT SPECTRO TRANSFER FUNCTIONS IN SOIL ERODIBILITY PREDICTION IN VIS-NIR-SWIR RANG. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 31(3 ), 797-810. SID. https://sid.ir/paper/141595/en

Vancouver: Copy

OSTOVARI Y., GHORBANI DASHTAKI SH., BAHRAMI H.A., NADERI M., ABBASI M.. DEVELOPING POINT SPECTRO TRANSFER FUNCTIONS IN SOIL ERODIBILITY PREDICTION IN VIS-NIR-SWIR RANG. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2017;31(3 ):797-810. Available from: https://sid.ir/paper/141595/en

IEEE: Copy

Y. OSTOVARI, SH. GHORBANI DASHTAKI, H.A. BAHRAMI, M. NADERI, and M. ABBASI, “DEVELOPING POINT SPECTRO TRANSFER FUNCTIONS IN SOIL ERODIBILITY PREDICTION IN VIS-NIR-SWIR RANG,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 31, no. 3 , pp. 797–810, 2017, [Online]. Available: https://sid.ir/paper/141595/en

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