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Quantifying Uncertainty in Machine Learning Based Soil Moisture Retrieval From GNSS-R Measurements

Year: 2024

Type: conference-abstract

Source: International Conference on Electromagnetics in Advanced Applications (ICEAA)

DOI: 10.1109/iceaa61917.2024.10701691

Authors: G. Tsagkatakis, A. Melebari, J. D. Campbell, E. Hodges, M. Moghaddam

Institutions: FORTH Institute of Computer Science, University of Southern California

Language: English

Topic: Soil Moisture and Remote Sensing

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4403210322

Cites:

Cited by: 1

Related to: 10