Analyzing the CO2 column amount in China with GOSAT data

Cai-lan Gong; Ying Zhou; Yong Hu

doi:10.1117/12.900295

8 September 2011 Analyzing the CO₂ column amount in China with GOSAT data

Cai-lan Gong, Ying Zhou, Yong Hu

Proceedings Volume 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications; 819327 (2011) https://doi.org/10.1117/12.900295
Event: International Symposium on Photoelectronic Detection and Imaging 2011, 2011, Beijing, China

Abstract

Global climate change has brought about many environmental problems. It was considered that the increase of green house gases should be responsible for that, especially carbon dioxide (CO₂). There are some in-situ observation stations distributed in the world-wide, but it's not enough to perform the global atmospheric variation laws for the sparse observation points with non-uniform distribution. The Greenhouse Gases Observing Satellite (GOSAT) is the world's first spacecraft to measure the concentrations of carbon dioxide and methane from space. It has finished CO₂ global distribution maps on internet, but there is little study on the regional CO₂ distribution with higher spatial resolution, especially about the metropolitan CO₂ distribution. The CO2 column amount were analyzed in the Yangtze River delta area that indicted it varied with the seasons. In order to explain the CO₂ distribution differences, the land surface temperature (LST) and the Normalized Differential Vegetation Index (NDVI) were analyzed from the China Huanjing-1A (HJ-1A) and Huanjing-1B (HJ-1B) satellite data. The results showed that there were some correlations between the land surface characteristics and the CO₂ column amount. It appeared that the CO₂ column amount retrieved from the SWIR band of FTS reflected the near surface atmospheric contents were affected obviously by the human activities. More verification experiments with in-situ observation data should be conducted. The study results could be benefit for improving the accuracy of CO₂ flux estimation from the satellite data, and it's useful for the studying the correlations between the climate change and the economic development.

Citation Download Citation

Cai-lan Gong, Ying Zhou, and Yong Hu "Analyzing the CO₂ column amount in China with GOSAT data", Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 819327 (8 September 2011); https://doi.org/10.1117/12.900295

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