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Estimation of Soil Electrical Conductivity using Dual – Polarized SAR Sentinel -1 Imagery
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 19 |
| Year of Publication: 2020 |
| Authors: Tanvi Agarwal, Rajni Ranjan Singh Makwana, Laxmi Shrivastava |
10.5120/ijca2020920148
|
Tanvi Agarwal, Rajni Ranjan Singh Makwana, Laxmi Shrivastava . Estimation of Soil Electrical Conductivity using Dual – Polarized SAR Sentinel -1 Imagery. International Journal of Computer Applications. 176, 19 ( May 2020), 41-43. DOI=10.5120/ijca2020920148
Abstract
Soil to mankind is a basic natural resource. Soil is a blend of solid, liquid and gaseous substances, shapes the top most layer of the Earth’s crust. The saline soil are the ‘salt affected soils’ generally found in arid and semi – arid regions. These soils are generally found in ‘low precipitation area’ where precipitation and evaporation ratio is less than 10.75[5]. This paper manages soil electrical conductivity estimation utilizing Sentinel -1 SAR imagery.. The support vector regression (SVR) technique, with RBF kernel function, was utilized to relate illustrative factors to ground estimated saltiness. We additionally applied K-Fold method for upgrading the model..
References
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