Total information content as an index of soil moisture |
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Authors: | R N Sahoo M Bhavanarayana B C Panda C N Arika R Kaur |
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Institution: | 1. Division of Agricultural Physics, India 2. Division of Environmental Sciences, Indian Agricultural Research Institute, 110 012, New Delhi, India
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Abstract: | 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. |
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