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A new model from Lanzhou University improves global carbon uptake tracking using satellite data.
Researchers from Lanzhou University and international partners have developed a new ecosystem light-use efficiency (eLUE) model that improves global gross primary productivity (GPP) estimates using satellite data.
The model, published in IEEE Transactions on Geoscience and Remote Sensing, offers a simpler, faster, and more accurate method than traditional approaches, with low error rates and high stability across 120 global FLUXNET sites.
It enables better monitoring of carbon sequestration in terrestrial ecosystems and supports climate change research and policy development.
The team also created a comprehensive global GPP dataset from 2001 to 2024, enhancing efforts to understand the carbon cycle and achieve carbon neutrality goals.
Un nuevo modelo de la Universidad de Lanzhou mejora el seguimiento global de la absorción de carbono utilizando datos de satélite.