Soil Moisture Content Estimation Based on Sentinel-1 SAR Imagery Using an Artificial Neural Network and Hydrological Components

This study estimates soil moisture content (SMC) using Sentinel-1A/B C-band synthetic aperture radar (SAR) images and an artificial neural network (ANN) over a 40 × 50-km<sup>2</sup> area located in the Geum River basin in South Korea. The hydrological components characterized by the ant...

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Bibliographic Details
Main Authors: Jeehun Chung, Yonggwan Lee, Jinuk Kim, Chunggil Jung, Seongjoon Kim
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/3/465