Soil Moisture Estimation over Vegetated Agricultural Areas: Tigris Basin, Turkey from Radarsat-2 Data by Polarimetric Decomposition Models and a Generalized Regression Neural Network

Soil Moisture Estimation over Vegetated Agricultural Areas: Tigris Basin, Turkey from Radarsat-2 Data by Polarimetric Decomposition Models and a Generalized Regression Neural Network

Determining the soil moisture in agricultural fields is a significant parameter to use irrigation systems efficiently. In contrast to standard soil moisture measurements, good results might be acquired in a shorter time over large areas by remote sensing tools. In order to estimate the soil moisture...

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Bibliographic Details
Main Authors: Mehmet Siraç Özerdem, Emrullah Acar, Remzi Ekinci
Format: Article
Language:English
Published: MDPI AG 2017-04-01
Series:Remote Sensing
Subjects:
remote sensing
Radarsat-2
soil moisture
machine learning
GRNN
feature extraction
Freeman–Durden
H/A/α
polarimetric decomposition
Online Access:http://www.mdpi.com/2072-4292/9/4/395

Internet

http://www.mdpi.com/2072-4292/9/4/395

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