Abstract
BACKGROUND AND AIM: Pollen information (e.g., pollen seasons and concentrations) is highly needed for allergy disease studies. However, in-situ pollen data from stations are still limited. Satellite data with repeated observations and global coverage provide the possibility to inform ground pollen dynamics over large areas. This study aims to improve the understanding of the relationship between vegetation phenology and pollen season, for its potential in developing fine spatiotemporal pollen maps over large areas. METHODS: We developed a framework to explore the relationship between the onset of vegetation phenology and pollen season. First, we derived pollen indicators using a double-Gaussian function and the collected pollen concentration data at five in-situ pollen stations. Next, we estimated vegetation phenology indicators and their interannual variability using satellite derived vegetation index. Finally, we explored the relationship between the indicators of pollen and phenology, and evaluated the scale effect of the relationship at the five stations during 2001–2015. RESULTS:Although indicators of pollen season (i.e., start of pollen season, SPS) and the vegetation phenology (i.e., start of season, SOS) vary spatially and temporally over stations, they exhibit consistent temporal trends during 2001-2015. SOS derived from finer Landsat satellite observations outperforms that from MODIS observations with a coarse spatial resolution. Our results indicate that satellite-derived SOS can serve as a proxy for pollen seasons in birch dominated areas. CONCLUSIONS:In this study, we explored the relationship between satellite-derived vegetation phenology and station-based pollen season at stations. Our results indicate that satellite-derived phenology can be used as an indicator for pollen dynamics over large areas, and therefore provides the possibility to assess the risk of respiratory allergies, especially in highly heterogeneous urban areas with high spatiotemporal satellite observations. KEYWORDS: Satellite remote sensing, Phenology, Start of Season, Pollen
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
