The global warming caused by CO2 greenhouse effect becomes a worldwide critical issue nowadays. In order to make suitable and sustainable policies forfully managing and monitoring the CO2 emission and reduction, the identification ofCO2 volume and spatial distribution is highly crucial for the local environmentalauthorities. Therefore, an indirect measurement method using land cover classes andtheir CO2 emission estimation per unit area driven from the sample survey orstatistical analysis was proposed in this chapter. To prove the feasibility, Boryeongand Yoengi cities in South Korea were selected as the two test sites, and CO2emission maps covering these areas were produced using the proposed method.One of the key factors for a successful mapping of CO2 emission was to producean accurate land cover map over the test site. To achieve this, the Rapideye satelliteimagery with characteristics of high-resolution and multispectral was chosen as themain data source for land cover analysis. Together with the SPOT satellite imagesand GIS land-use data, the accurate land cover map was created. The emission ratio of each land cover type was subsequently applied on the land cover map to produceCO2 emission map and also estimate the total CO2 flux.
Kim, J. R., Lin, S. Y., Chang, E. M., Lee, I. H., & Yun, H. W. (2013). Land cover analysis with high-resolution multispectral satellite imagery and its application for the Co2 flux estimation. In Spatial Planning and Sustainable Development: Approaches for Achieving Sustainable Urban Form in Asian Cities (pp. 381–398). Springer Netherlands. https://doi.org/10.1007/978-94-007-5922-0_21