The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: HLS-GPT: A Generative Pretrained Transformer (GPT) Model for Accurate Harmonized Landsat and Sentinel-2 (HLS) Annual Reflectance Time Series Reconstruction (AGU25)

HLS-GPT: A Generative Pretrained Transformer (GPT) Model for Accurate Harmonized Landsat and Sentinel-2 (HLS) Annual Reflectance Time Series Reconstruction

Junjie Li1, Hankui Zhang1, David Roy2 and Yuean Qiu3, (1)South Dakota State University, Department of Geography and Geospatial Sciences, and Geospatial Sciences Center of Excellence (GSCE), Brookings, United States, (2)Michigan State University, Department of Geography, Environment, & Spatial Sciences, and Center for Global Change and Earth Observations, East Lansing, MI, United States, (3)Michigan State University, Department of Geography, Environment, & Spatial Sciences, and Center for Global Change and Earth Observations, East Lansing, United States