[H-TT20] Environmental Remote Sensing

Sun. May 26, 2019 3:30 PM - 5:00 PM Poster Hall (International Exhibition Hall8, Makuhari Messe)

convener:Wei Yang(Chiba University), Akihiko Kondoh(Center for Environmental Remote Sensing, Chiba University)

Our human beings are encountering various environmental issues on the Earth, and it is urgent to find out the solutions. Remote sensing is currently the only feasible means to observe the Earth environment at regional/continental /global scales over long periods, and consequently detects the environmental changes occurred all over the world. This session invites presentations on theory, science, technology, and applications of remote sensing to study the Earth environment from regional to global scales. Both oral and poster presentations are sincerely welcome.

[HTT20-P01] Classification of Winter Wheat using high spatial resolution data in North China Plain

*Chunyang Wang^1,2, Wei Yang², Xifang Wu³, Zhichao Chen¹, Junjun Lu¹, Zongze Zhao¹, Hebing Zhang¹ (1.School of Surveying and Land Information Engineering, Henan Polytechnic University, 2.Center for Environmental Remote Sensing, Chiba University, 3.Graduate School of Science and Engineering, Chiba University)

[HTT20-P02] Normalized Difference Greenness Index (NDGI): A new vegetation index for improved estimation of vegetation phenology

*Wei Yang¹, Hideki Kobayashi², Akihiko Kondoh¹ (1.Chiba University, 2.JAMSTEC)

[HTT20-P03] Characteristics of manual and automatically tree species classification in mixed forest (Yamagata University Research Forest)

*Sarah Kentsch^1,2, Larry Maximo Lopez Caceres¹, Yago Diez¹, Motohisa Fukuda¹ (1.Yamagata University, 2.United Graduate School of Agricultural Sciences)

[HTT20-P04] Land subsidence detection by SBAS-InSAR technology and its factor analysis in the inland area of Chiba Prefecture

*HALIPU AYIHUMAIER¹, Richa Bhattarai¹, Wen - LIU¹, Akihiko - Kondoh^1,2 (1.Graduate School of Science and Engineering, 2.Center for Environmental Remote Sensing, Chiba University)

[HTT20-P05] Development of a novel data fusion model to generate high spatiotemporal resolution NDVI time series

*Wei Yang¹, Jin Chen² (1.Chiba University, 2.Beijing Normal University)

Session information