Inversion of soil roughness for estimating soil moisture from time-series Sentinel-1 backscatter observations over Yanco sites
Author:
Affiliation:
1. Research Institute for Mega Construction, Korea University, Seoul, Republic of Korea
2. Department of Civil Engineering, Monash University, Clayton, Australia
Funder
the National Research Foundation of the Korean government
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2020.1805030
Reference33 articles.
1. Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles
2. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
3. Multifrequency Soil Moisture Inversion from SAR Measurements with the Use of IEM
4. A simple model for retrieving bare soil moisture from radar-scattering coefficients
5. On the characterization of agricultural soil roughness for radar remote sensing studies
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2. Coupling Model-Driven and Data-Driven Methods for Estimating Soil Moisture Over Bare Surfaces With Sentinel-1A Dual-Polarized Data;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023
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