2018
DOI: 10.1016/j.scitotenv.2018.03.191
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Dynamic ecological observations from satellites inform aerobiology of allergenic grass pollen

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Cited by 41 publications
(27 citation statements)
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“…Concentric ring graphs were generated, which represent the relative abundance (% of the total ring surface) of the main land uses and vegetation types surrounding the two pollen monitoring stations DEBIED and DEMUNC (0 to 1, 1 to 2, 2 to 5 and 5 to 10 km from the pollen trap). This spatial representation was used for interpreting the general landscape configuration that characterized the abundance of the main pollen sources for specific pollen types around the stations [3,32]. Further, the relative abundance spectrum of the all pollen types in the air was calculated for the period 2006-2016 using the 'iplot_abundance' function from the AeRobiology R package [35].…”
Section: Methodsmentioning
confidence: 99%
“…Concentric ring graphs were generated, which represent the relative abundance (% of the total ring surface) of the main land uses and vegetation types surrounding the two pollen monitoring stations DEBIED and DEMUNC (0 to 1, 1 to 2, 2 to 5 and 5 to 10 km from the pollen trap). This spatial representation was used for interpreting the general landscape configuration that characterized the abundance of the main pollen sources for specific pollen types around the stations [3,32]. Further, the relative abundance spectrum of the all pollen types in the air was calculated for the period 2006-2016 using the 'iplot_abundance' function from the AeRobiology R package [35].…”
Section: Methodsmentioning
confidence: 99%
“…50 This transdisciplinary partnership has achieved a great deal in a relatively short period of time. [16][17][18]50,51 Australia has demonstrated its capacity to innovate at the cutting edge of this field. Three current examples serve to illustrate this point:…”
Section: Resultsmentioning
confidence: 99%
“…• Australian research has demonstrated the potential of satellite remote sensing of grass seasonal greenness to augment forecast models of airborne grass pollen as a tool to reduce the health and socio-economic burden of pollen-sensitive allergic diseases. 51 • Australian research teams are using smartphone technology to publicly report measured airborne pollen levels, and as a means of symptom surveillance. Consistent with international calls for an approach to assessing, forecasting and communicating air quality that integrates the physical, chemical and biological components 52 , one Australian smartphone app (AirRater) tracks exposure to three key environmental hazards -temperature, air particles (PM 2.5 ) and aeroallergens.…”
Section: Resultsmentioning
confidence: 99%
“…The onset of the release of pollen from pasturelands depends on its growth phase, which can be estimated from space (Devadas et al 2018). The spatially varying timing and magnitude of the grass pollen season was modelled as a function of the satellite-derived enhanced vegetation index (EVI), a measure of the "greenness" of the landscape (Huete et al 2002; NASA 2020).…”
Section: Statistical Pollen Modellingmentioning
confidence: 99%