Bare Soil Surface Moisture Retrieval from Sentinel-1 SAR Data Based on the Calibrated IEM and Dubois Models Using Neural Networks

Bare Soil Surface Moisture Retrieval from Sentinel-1 SAR Data Based on the Calibrated IEM and Dubois Models Using Neural Networks

The main purpose of this study is to investigate the performance of two radar backscattering models; the calibrated integral equation model (CIEM) and the modified Dubois model (MDB) over an agricultural area in Karaj, Iran. In the first part, the performance of the models is evaluated based on the...

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Bibliographic Details
Main Authors: Hamid Reza Mirsoleimani, Mahmod Reza Sahebi, Nicolas Baghdadi, Mohammad El Hajj
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sensors
Subjects:
bare soils
soil moisture
neural networks
Sentinel-1
calibrated IEM
Modified Dubois Model
Iran
Online Access:https://www.mdpi.com/1424-8220/19/14/3209

Internet

https://www.mdpi.com/1424-8220/19/14/3209

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