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Monitoring photogenic ecological phenomena: Social network site images reveal spatiotemporal phases of Japanese cherry blooms

bioRxiv · 13 Sept 2021 · 10.1101/2021.09.13.460016

Abstract

Some ecological phenomena are visually engaging and widely celebrated. Consequently, these have the potential to generate large footprints in the online and social media image records which may be valuable for ecological research. Cherry tree blooms are one such event, especially in Japan where they are a cultural symbol (Sakura, ). For centuries, the Japanese have celebrated Hanami (flower viewing) and the historical data record of the festival allows for phenological studies over this period, one application of which is climate reconstruction. Here we analyse Flickr social network site data in an analogous way to reveal the cherry blossoms seasonal sweep from southern to northern Japan over a twelve-week period. Our method analyses data filtered using geographical constraints, multi-stage text-tag classification, and machine vision, to assess image content for relevance to our research question and use it to estimate historic cherry bloom times. We validated our estimated bloom times against official data, demonstrating the accuracy of the approach. We also investigated an out of season Autumn blooming that has gained worldwide media attention. Despite the complexity of human photographic and social media activity and the relatively small scale of this event, our method can reveal that this bloom has in fact been occurring over a decade. The approach we propose in our case study enables quick and effective monitoring of the photogenic spatiotemporal aspects of our rapidly changing world. It has the potential to be applied broadly to many ecological phenomena of widespread interest.

Plant phenotyping relevance

ソーシャルメディア画像と機械視覚を用いて桜の開花時期を推定し、公式データで検証する手法が研究の中心である。

abstractOur method analyses data filtered using geographical constraints, multi-stage text-tag classification, and machine vision, to assess image content for relevance to our research question and use it to estimate historic cherry bloom times.
abstractWe validated our estimated bloom times against official data, demonstrating the accuracy of the approach.

Code and data availability

The supplied blocks describe Flickr-derived cherry blossom photo data, computer vision tag filtering, and bloom date estimation, but contain no public dataset deposit, author code release, or availability statement with a URL. The Flickr photos and JNTO dates are third-party sources, not author-deposited assets, and S1

No evidence-backed public reproduction asset is currently recorded.

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