A Novel Spectral–Temporal Attention-Based WaveNet Model for Corn Yield Prediction Using Multi-Source Data in the U.S. Corn Belt

Fathi, Mahdiyeh; Shah-Hosseini, Reza; Arefi, Hossein; Moghimi, Armin

doi:10.5194/isprs-annals-X-4-W8-2025-249-2026

Articles | Volume X-4/W8-2025

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Articles | Volume X-4/W8-2025

https://doi.org/10.5194/isprs-annals-X-4-W8-2025-249-2026

Articles | Volume X-4/W8-2025

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29 May 2026

| 29 May 2026

A Novel Spectral–Temporal Attention-Based WaveNet Model for Corn Yield Prediction Using Multi-Source Data in the U.S. Corn Belt

Mahdiyeh Fathi, Reza Shah-Hosseini, Hossein Arefi, and Armin Moghimi

Mahdiyeh Fathi

School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran,Tehran, Iran

i3mainz, Institute for Spatial Information and Surveying Technology, Mainz University of Applied Sciences, Mainz, Germany

Reza Shah-Hosseini

School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran,Tehran, Iran

Hossein Arefi

i3mainz, Institute for Spatial Information and Surveying Technology, Mainz University of Applied Sciences, Mainz, Germany

Armin Moghimi

https://orcid.org/0000-0002-0455-4882

Department of Photogrammetry and Remote Sensing, Geomatics Engineering Faculty, K. N. Toosi University of Technology, Tehran, Iran

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A Novel Spectral–Temporal Attention-Based WaveNet Model for Corn Yield Prediction Using Multi-Source Data in the U.S. Corn Belt

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