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Physics-Informed Enhanced Machine Learning for Global Vegetation Optical Depth Retrieval Using Spaceborne GNSS-R

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Physics-Informed Enhanced Machine Learning for Global Vegetation Optical Depth Retrieval Using Spaceborne GNSS-R

Jinwei Bu et al · IEEE · 2026 · ISSN 1939-1404

Vegetation optical depth (VOD), as a key parameter of vegetation, plays an important role in the process of vegetation growth and change. The spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) technolog...

LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma eng

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Potential Improvement of Forest Growth and Yield Modeling Incorporating Remote Sensing and Machine Learning

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Potential Improvement of Forest Growth and Yield Modeling Incorporating Remote Sensing and Machine Learning

Joao Victor do Nascimento Lima et al · IEEE · 2026 · ISSN 2169-3536

Forest growth and yield projection is essential for sustainable forest management planning. In Brazil, the Clutter model is widely applied for yield forecasting and commonly achieves prediction errors below 10%. However,...

LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng

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