Spatially detail urban carbon mapping: Integration of top-down and bottom-up approaches. GeoComputation 2019
conference contributionposted on 01.12.2019 by Takahiro Yoshida, Yoshiki Yamagata, Daisuke Murakami
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
The objective of this study is estimating carbon emissions in the building and transportation sectors in the Sumida ward, Tokyo. We combine top-down and bottom-up approaches, which use spatial big data, for the estimating. The estimated emissions from individual buildings and road links are visualized by a three-dimensional (3D) mapping. The results suggest the usefulness of our approach for visualizing urban carbon emissions for supporting community-level carbon monitoring and management.