Work

Assessing machine learning algorithms for retrieving soil moisture from a semi-arid region using a synthetic database

Year: 2025

Type: conference-paper

Source: Joint Urban Remote Sensing Event (JURSE)

DOI: 10.1109/jurse60372.2025.11076057

Authors: Raja Inoubli, Lilia Bennaceur Farah, Imed Riadh Farah, A. Monsiváis-Huertero

Institutions: National School of Computer Science, Tunis El Manar University, Manouba University, Instituto Politécnico Nacional

Language: English

Topic: Soil Moisture and Remote Sensing

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Zero hunger, Climate action

Open Access status: closed

OpenAlex ID: W4413087443

FWCI:

Cites: 13

Cited by:

Related to: 10