[M-AG33] Satellite Land Physical Processes Monitoring at Medium/High/Very High Resolution

[MAG33-02] Tropical Urban Plant Phenology Monitoring with Near-Surface Remote Sensing

★Invited Papers

*Tomoaki Miura¹, Shin Nagai² (1.University of Hawaiʻi at Mānoa, 2.JAMSTEC)

Keywords:Tropical phenology, Flowering phenology, Time-lapse digital imagery

Tropical flowering phenology has been a subject of significant interest. Many species flower annually or bi-annually, whereas others flower aseasonally or supra-annually. To further our understanding of tropical flowering phenology, it is of importance to monitor and characterize the temporal and spatial variability of flowering phenology of tropical tree species in multiple scales from the field plot, to local, to regional scales. In this study, we obtained time series digital photos for a sample of various tropical trees found in the University of Hawaiʻi at Mānoa botanical garden by regular field visits and extracted flowering phenology information (e.g., the start, peak, end, and duration of flowering season) for a period from 2021 to 2024. The extracted flowering phenology data indicated notable temporal variations in relation with the weather conditions of the years. We find that digital photo-derived phenology information will serve as one basic data to find best vegetation index (VI) or best combination of VIs to extract flowering phenological metrics from high resolution satellite image data, and calibrate and validate the metrics.