[H-GG01] [EE] Mapping phenology with long-term continuous remote sensing observations

[HGG01-02] インターネット上で公開されているシチズンサイエンスやアーカイブデータを利用した植物季節観測の高精度化

★招待講演

*永井 信¹、斎藤 琢² (1.海洋研究開発機構地球表層物質循環研究分野、2.岐阜大学流域圏科学研究センター)

キーワード：phenology, remote-sensing, citizen science, web site

Accurate detection of plant phenology (e.g. timing of flowering, leaf-flush, and leaf-fall) is required to evaluate the spatio-temporal variability of ecosystem functions and service under rapid climate changes. Towards this aim, analysis of daily satellite-observed vegetation index with a coarse spatial resolution (e.g. 500m) and in situ-observed long-term historical biometeorological data set is useful. However, these approaches include many uncertainties and problems mainly caused by heterogeneity of plant species, spatial representativeness, and land cover changes. Here, (1) we examined the relationship between leaf-colouring information published on the meteorology service web site (http://www.tenki.jp) and the timing of end of growing season detected by daily Terra and Aqua/MODIS satellite-observed green-red vegetation index in Japan; (2) we evaluated the long-term historical flowering information published on the web sites; and (3) we examined the land cover change in the “Satoyama” landscape area by using aerial photographs published on the geographical survey web site (http://mapps.gsi.go.jp/maplibSearch.do#1). In this presentation, we will discuss the usability of citizen science and historical archived data published on the web sites for developing the detection of spatio-temporal variability of plant phenology in Japan.