International Journal of Agricultural Engineering

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Development of Soil Line and Vegetative Indices Using Spectroradiometer


Affiliations
1 Department of Soil and Water Conservation Engineering, K.K. Wagh College of Agricultural Engineering and Technology, Nashik (M.S.), India
2 Department of Soil and Water Conservation Engineering, Dr. A.S. College of Agricultural Engineering, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), India
     

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One of the major applications of remote sensing in environmental resources management and decision making is the detection and quantitative assessment of soil and vegetation. Operational monitoring of vegetative cover by remote sensing currently involves the utilisation of vegetation indices (VI), it is the function of the reflectance in red (R) and near-infrared (NIR) spectral bands. Although many variations exist, most of them are the ratio of the reflection of light in the red and NIR sections of the spectrum to separate the landscape into water, soil, and vegetation. The present research was conducted for development of soil line and vegetation indices ratio vegetative index (RVI) and soil adjusted vegetative index (SAVI) and to develop relationship between vegetation indices and bulk density. Four soil series namely Gulvanch, Targaon, Rahuri and Pather series were used in the study. The soil line, a linear relationship between bare soil reflectance observed in two IR and NIR waveband which is widely used for interpretation of remotely sensed data. Soil line based vegetation indices are introduced which may be used for assessment of water use, plant stress, crop production and requires knowledge of external environment. Slope, intercept of soil line were developed for four different series and used for estimation of vegetative indices. The maximum slope for soil line was for Targaon series followed by Rahuri, Pather and Gulvanch series. Relationships between bulk density and vegetation indices (RVI, SAVI) were developed by curve fitting method, linear function was most suitable function. Relationship between vegetation indices (SAVI and RVI) and bulk density was developed which can be used for determination of physical properties from remotely sensed data.

Keywords

Reflectance, Soil Line, Vegetation Indices.
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  • Development of Soil Line and Vegetative Indices Using Spectroradiometer

Abstract Views: 214  |  PDF Views: 1

Authors

S. S. Raut
Department of Soil and Water Conservation Engineering, K.K. Wagh College of Agricultural Engineering and Technology, Nashik (M.S.), India
B. K. Gavit
Department of Soil and Water Conservation Engineering, Dr. A.S. College of Agricultural Engineering, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), India

Abstract


One of the major applications of remote sensing in environmental resources management and decision making is the detection and quantitative assessment of soil and vegetation. Operational monitoring of vegetative cover by remote sensing currently involves the utilisation of vegetation indices (VI), it is the function of the reflectance in red (R) and near-infrared (NIR) spectral bands. Although many variations exist, most of them are the ratio of the reflection of light in the red and NIR sections of the spectrum to separate the landscape into water, soil, and vegetation. The present research was conducted for development of soil line and vegetation indices ratio vegetative index (RVI) and soil adjusted vegetative index (SAVI) and to develop relationship between vegetation indices and bulk density. Four soil series namely Gulvanch, Targaon, Rahuri and Pather series were used in the study. The soil line, a linear relationship between bare soil reflectance observed in two IR and NIR waveband which is widely used for interpretation of remotely sensed data. Soil line based vegetation indices are introduced which may be used for assessment of water use, plant stress, crop production and requires knowledge of external environment. Slope, intercept of soil line were developed for four different series and used for estimation of vegetative indices. The maximum slope for soil line was for Targaon series followed by Rahuri, Pather and Gulvanch series. Relationships between bulk density and vegetation indices (RVI, SAVI) were developed by curve fitting method, linear function was most suitable function. Relationship between vegetation indices (SAVI and RVI) and bulk density was developed which can be used for determination of physical properties from remotely sensed data.

Keywords


Reflectance, Soil Line, Vegetation Indices.

References