Refine your search
Collections
Co-Authors
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Raut, S. S.
- Development of Soil Line and Vegetative Indices Using Spectroradiometer
Abstract Views :217 |
PDF Views:1
Authors
S. S. Raut
1,
B. K. Gavit
2
Affiliations
1 Department of Soil and Water Conservation Engineering, K.K. Wagh College of Agricultural Engineering and Technology, Nashik (M.S.), IN
2 Department of Soil and Water Conservation Engineering, Dr. A.S. College of Agricultural Engineering, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), IN
1 Department of Soil and Water Conservation Engineering, K.K. Wagh College of Agricultural Engineering and Technology, Nashik (M.S.), IN
2 Department of Soil and Water Conservation Engineering, Dr. A.S. College of Agricultural Engineering, Mahatma Phule Krishi Vidyapeeth, Rahuri, Ahmednagar (M.S.), IN
Source
International Journal of Agricultural Engineering, Vol 8, No 2 (2015), Pagination: 227-231Abstract
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
- Banman, C. (2001). Remote sensing of vegetation and soil, remote sensing of the environment, an earth resource perspective. Chapter 9. Prentice-Hall, Upper Saddle River, NJ.
- Challa, O., Gajbhiye, K.S. and Velayutham M. (1999). Soil series of Maharashtra. Technical bulletin, NBBS Publ. 79.
- Gilabert, M.A. and Melia, J. (2002). Studied a generalized soil adjusted vegetative index. J. Remote Sensing Environ., 82 : 303-310.
- Guertal, E.R. and Shaw, J.N. (2004). Multispectral radiometric signatures for stress evaluation in compacted bermudograss turff. J. Hort. Sci., 39(2) : 403-407.
- Huete, A.R. (1988). A soil-adjusted vegetation index (SAVI). J. Remote Sensing Environ., 25 : 295-309.
- Huete, A.R. and Post, D.F. (1984). Soil spectral effects on 4space vegetation discrimination. J. Remote Sensing Environ., 15 : 155-165.
- Huete, A.R., Yoshioka, H. and Miura, T. (2010). Soil line influence on two band vegetation indices and vegetation isolines: A numerical study. J. Remote Sensing Environ., 2: 545-561.
- Kasawani, I., Norsaliza, U. and Hasmadi, I.M. (2010). Studied analysis of spectral vegetative indices related to soil-line. Appl. Remote Sensing J., 1(1) : 25-31.
- Pearson, R. L. and Miller, L.D. (1972). Remote mapping of standing crop biomass for estimation of the productivity of the short-grass Prairie, Pawnee National Grassland, Colorado: 8th international symposium on remote sensing of environment, p. 1357-1381.
- Rundquist, D., Gitelson, A.A. and Stark, R. (2000). Vegetation and soil line in visible spectral space: A concept and technique for remote estimation of vegetative fraction. Internat. J. Remote Sensing, 23(13) : 2537-2562.