Evaluating nighttime lights and population distribution as proxies for mappinganthropogenic CO2 emission in Vietnam, Cambodia and Laos

IOP Conference Series. Materials Science and Engineering
Andrea E GaughanSon V Nghiem

Abstract

Tracking spatiotemporal changes in GHG emissions is key to successful implementation of the United Nations Framework Convention on Climate Change (UNFCCC). And while emission inventories often provide a robust tool to track emission trends at the country level, subnational emission estimates are often not reported or reports vary in robustness as the estimates are often dependent on the spatial modeling approach and ancillary data used to disaggregate the emission inventories. Assessing the errors and uncertainties of the subnational emission estimates is fundamentally challenging due to the lack of physical measurements at the subnational level. To begin addressing the current performance of modeled gridded CO2 emissions, this study compares two common proxies used to disaggregate CO2 emission estimates. We use a known gridded CO2 model based on satellite-observed nighttime light (NTL) data (Open Source Data Inventory for Anthropogenic CO2, ODIAC) and a gridded population dataset driven by a set of ancillary geospatial data. We examine the association at multiple spatial scales of these two datasets for three countries in Southeast Asia: Vietnam, Cambodia and Laos and characterize the spatiotemporal similarities and difference...Continue Reading

References

Jun 6, 2002·Clinical and Experimental Allergy : Journal of the British Society for Allergy and Clinical Immunology·C-C LinA Chen
May 24, 2007·Proceedings of the National Academy of Sciences of the United States of America·Michael R RaupachChristopher B Field
Aug 16, 2014·International Health·Andrew J Tatem
Oct 29, 2014·Proceedings of the National Academy of Sciences of the United States of America·Pierre DevilleAndrew J Tatem
Feb 18, 2016·Scientific Data·Andrea E GaughanAndrew J Tatem

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