Estimating Half-hourly Terrestrial Ecosystem Carbon Fluxes Using Multi-modal Data and a Hybrid Deep Learning Approach

Fan, Bin

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Abstract: Estimating Half-hourly Terrestrial Ecosystem Carbon Fluxes Using Multi-modal Data and a Hybrid Deep Learning Approach (AGU25)

Estimating Half-hourly Terrestrial Ecosystem Carbon Fluxes Using Multi-modal Data and a Hybrid Deep Learning Approach

Bin Fan¹, Zhongbin Li¹ and Hankui Zhang², (1)Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China, (2)South Dakota State University, Department of Geography and Geospatial Sciences, and Geospatial Sciences Center of Excellence (GSCE), Brookings, United States