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Kinakh, V., Bun, R., & Danylo, O. (2017). Geoinformation technology of analysis and vizualization of spatial data on greenhouse gas emissions using Google Earth Engine. In: 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT). pp. 212-215 Liev, Ukraine: IEEE. ISBN 978-153861638-3 10.1109/STC-CSIT.2017.8098771.
Full text not available from this repository.Abstract
The geoinformation technology of spatial analysis and visualization of greenhouse gas emissions has been proposed using Google Earth Engine cloud technology as a key component of interaction with spatial data. As input data we use the vector data on emissions at the level of point, line and areal emission sources, which are converted to the raster emission data. The geoinformation technology includes the web-site for spatial analysis and visualization of vector data as well as the interactive site for deeper analysis of raster data on greenhouse gas emissions. The emissions can be analyzed within created polygons, with calculation of the total or specific emissions, the maximum or average magnitudes of emissions. The geoinformation technology includes many sectors and categories of human activity covered by national inventory reports on greenhouse gas emissions, such as burning fossil fuels for power and heat production, in the industry and construction sector, in the residential and institutional sectors, emissions during extraction and processing fossil fuels, emissions caused by chemical processes, emissions in many categories of the agriculture and waste sectors. The implementation of the proposed technology is presented using high resolution spatial data on greenhouse gas emissions in Poland.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | emission data, geoinformation technology, Google Earth Engine, greenhouse gas, spatial analysis |
| Research Programs: | Ecosystems Services and Management (ESM) |
| Depositing User: | Luke Kirwan |
| Date Deposited: | 29 Jan 2018 14:34 |
| Last Modified: | 27 Aug 2021 17:42 |
| URI: | https://pure.iiasa.ac.at/15084 |
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