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On a yearly basis prediction of soil water content utilizing sar data: A machine learning and feature selection approach
(Turkiye Klinikleri, 2020)
Soil water content (SWC) performs an important role in many areas including agriculture, drought cases, usage of water resources, hydrology, crop diseases and aerology. However, the measurement of the SWC over large terrains ...
Soil moisture inversion via semiempirical and machine learning methods with full-polarization radarsat-2 and polarimetric target decomposition data: A comparative study
(Institute of Electrical and Electronics Engineers Inc., 2020)
In this article, surface soil moisture was retrieved from Radarsat-2 and polarimetric target decomposition data by using semiempirical models and machine learning methods. The semiempirical models and machine learning ...