Total information content as an index of soil moisture
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Accurate estimation of soil moisture through remote sensing technique has been a challenge till date. In optical and thermal remote sensing, there is no index developed to detect the changes in soil moisture levels. In microwave region, soil roughness and other target parameters equally affect the technique for soil moisture estimation. Therefore, a computational technique in C language based on Shannon’s Information Theory (Shannon, 1948) has been developed to calculate total information content from multispectral radiometer data. The total information content is a compressed single value, which quantifies the information content of soil spectral reflectance in the electromagnetic spectrum range (400–1100 nm) under study. This technique was tested over a wide range of soil moisture levels. The study revealed that as compared to other techniques total information content index is very sensitive to change in moisture content of soil. This technique could not only quantify the soil moisture content in optical and near infra red region, but also led to a simplified one dimensional separability and clustering analysis.
KeywordsSoil Moisture Soil Moisture Content Spectral Reflectance Reflectance Curve Band Ratio
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- Beck, R.H., Robinson, B.F., McFee, W.W. and Peterson, J.B. (1976). Spectral characteristics of soils related to the interaction of soil moisture, organic carbon, and clay content. LARS Inf. Note: 081176, Purdue University, West Lafayette, Indiana.Google Scholar
- CIE (1978). Recommendations on uniform color spaces -color difference equations psychometric color terms. CIE supplement no. 2 to CIE publications no. 15(E - 1.3.1 )1971/(TC-1.3), Bureau Central d’la CIE, Paris.Google Scholar
- Gerbermann, A.H. and Neher, D.D. (1979). Reflectance of varying mixtures of clay and sand. Photogramm. Engg. and Remote Sensing,45: 1145–1151.Google Scholar
- Mongtomery, O.L. (1976). Ph.D. Dissertation, Purdue University, West Lafayette, Indiana.Google Scholar
- Salmon-Drexler, B.C. (1977). Reducing data to parameters with physical significance and signal extension, A Review of Landsat Capabilities, Proc. 11th Int. Symp. Remote Sensing of Environment, Ann. Arbor., pp. 1289–1299.Google Scholar
- Shannon, C.E. (1948). A Mathematical Theory of Communication, Bell Systems Technical Journal,27: 379–423.Google Scholar
- Shannon, C.E. and Weaver, W. (1949). The Mathematical Theory of Communication, University of Illinois Press, Urbana.Google Scholar
- Stoner, E.R. and Horvath, E.H. (1971). The effect of cultural practices on multispectral response from surface soil. Proc. 7th Int. Symp. on Remote Sensing of Environment, University of Michigan, Ann Arbor, pp. 2109–2113.Google Scholar
- Stoner, E.R. and Baumgardner, M.F. (1981). Characteristic variation in reflectance of surface soils. Soil Sci. Soc. Am. J.,45: 1161–1165.Google Scholar