RTM-Based Downscaling of Medium Resolution Soil Moisture Using Sentinel-1 Data Over Agricultural Fields-Reference-Cited by-同舟云学术

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RTM-Based Downscaling of Medium Resolution Soil Moisture Using Sentinel-1 Data Over Agricultural Fields

Published:2024 Issue: Volume:17 Page:15463-15479
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Weiß Thomas¹^ORCID,Jagdhuber Thomas²^ORCID,Ramsauer Thomas¹^ORCID,Löw Alexander¹^ORCID,Marzahn Philip³^ORCID

Affiliation:

1. Department of Geography, Ludwig-Maximilians-Universität of Munich, Munich, Germany

2. German Aerospace Center, Microwaves and Radar Institute, Weßling, Germany

3. Faculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10645061.pdf?arnumber=10645061

Reference98 articles.

1. Monitoring Soil Moisture to Support Risk Reduction for the Agriculture Sector Using RADARSAT-2

2. The ESA Climate Change Initiative: Satellite Data Records for Essential Climate Variables

3. Soil moisture for hydrological applications: Open questions and new opportunities;Brocca,2017

4. Spatial-temporal variability of soil moisture and its estimation across scales

5. Spatial-temporal variability of soil moisture: Addressing the monitoring at the catchment scale;Dari,2019

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