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Upper canopy and understory phenology of Brazilian Amazon forests seen by GEDI lasers
Vegetation phenology represents vegetation dynamics following seasonal climatic variations. Phenological monitoring allows us to understand the vegetation responses to the effects of climate change. This study examines tropical forest phenology in the Brazilian Amazon using the Global Ecosystem Dynamics Investigation (GEDI), which observes tropical and temperate forests using a self-contained laser altimeter on the International Space Station. The plant area index (PAI) from the GEDI laser product, measured at every 5 m from the ground, was used to create an upper canopy and understory time-series PAI at 2° spatial resolution. Spline algorithms were employed to produce PAI time-series free of time gaps. These data were then utilized to identify the phenological timing of both the upper canopy and understory layers. The results revealed that upper canopy PAI consistently increased during early dry seasons, while understory PAI likely increased due to sunlight that penetrated the upper canopy during its leaf abscission period in the late dry season. The phenological timing within the Brazilian Amazon varied in both space and year. Upper canopy and understory phenological cycles sometimes widen or narrow, occasionally resulting in two cycles per year in some regions. This study demonstrated the effectiveness of using GEDI data to study the phenology of the Brazilian Amazon.
Upper canopy and understory phenology of Brazilian Amazon forests seen by GEDI lasers
Vegetation phenology represents vegetation dynamics following seasonal climatic variations. Phenological monitoring allows us to understand the vegetation responses to the effects of climate change. This study examines tropical forest phenology in the Brazilian Amazon using the Global Ecosystem Dynamics Investigation (GEDI), which observes tropical and temperate forests using a self-contained laser altimeter on the International Space Station. The plant area index (PAI) from the GEDI laser product, measured at every 5 m from the ground, was used to create an upper canopy and understory time-series PAI at 2° spatial resolution. Spline algorithms were employed to produce PAI time-series free of time gaps. These data were then utilized to identify the phenological timing of both the upper canopy and understory layers. The results revealed that upper canopy PAI consistently increased during early dry seasons, while understory PAI likely increased due to sunlight that penetrated the upper canopy during its leaf abscission period in the late dry season. The phenological timing within the Brazilian Amazon varied in both space and year. Upper canopy and understory phenological cycles sometimes widen or narrow, occasionally resulting in two cycles per year in some regions. This study demonstrated the effectiveness of using GEDI data to study the phenology of the Brazilian Amazon.
Upper canopy and understory phenology of Brazilian Amazon forests seen by GEDI lasers
Pedro V C Oliveira (author) / Xiaoyang Zhang (author)
2025
Article (Journal)
Electronic Resource
Unknown
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