Work

Machine Learning for Moisture Retrieval Using Landsat and SAOCOM Images

Year: 2024

Type: conference-paper

Source: IEEE Biennial Congress of Argentina (ARGENCON)

DOI: 10.1109/argencon62399.2024.10735839

Authors: Reiman Alfonso Azcuy, Virginia Venturini, Elisabet Walker, Enzo Ferrante

Institutions: Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional del Litoral, Universidad de Buenos Aires

Language: English

Topic: Soil Moisture and Remote Sensing

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Zero hunger

Open Access status: closed

OpenAlex ID: W4404037014

FWCI: 1.103

Cites: 28

Cited by: 1

Related to: 10