Urban CO2 modeling with open geodata toward global carbon mapping
Abstract
As global warming progresses, it is increasingly important to monitor CO2 emissions from buildings, cars, and so on. As a first step of monitoring micro-level CO2 emission in cities around the world, this study develops a model for estimating CO2 emissions utilizing global open data, including remote sensing data (e.g., MODIS) and participatory sensing data (e.g., OpenStreetMap). Accuracy of our model, which is applicable globally, is examined by comparing it with CO2 estimates based on micro geo-data that are available only in limited cities. Besides, our model is applied for CO2 mapping in a number of cities.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFM.B33H0702M
- Keywords:
-
- 3322 Land/atmosphere interactions;
- ATMOSPHERIC PROCESSESDE: 0493 Urban systems;
- BIOGEOSCIENCESDE: 1615 Biogeochemical cycles;
- processes;
- and modeling;
- GLOBAL CHANGEDE: 6334 Regional planning;
- POLICY SCIENCES