AI & Environment Resource HubSejeong Bae; Bokyung Son; Taejun Sung; Yoojin Kang; Jungho Im · 2025-06-01
This study presents a new machine learning (Light Gradient Boosting Machine) approach to generate high-resolution, hourly maps of gross primary productivity (GPP) for East Asia (2020–2021). The paper highlights clear diurnal patterns across different land cover types and latitudes, offering valuable insights for ecosystem monitoring and carbon cycle modeling.
Sejeong Bae; Bokyung Son; Taejun Sung; Yoojin Kang; Jungho Im. 2025-06-01. Advancing Hourly Gross Primary Productivity Mapping Over East Asia Using LGBM. https://www.sciencedirect.com/science/article/abs/pii/S0034425725001397?via%3Dihub (AI & Environment Resource Hub; record paper-343; collection snapshot 2026-09-15).
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Shared topics: Research tools and geospatial methods; Climate and greenhouse gases; Weather, hazards, and adaptation
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Shared topics: Research tools and geospatial methods; Climate and greenhouse gases; Weather, hazards, and adaptation
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