Share Email Print
cover

Proceedings Paper

Analyzing the CO2 column amount in China with GOSAT data
Author(s): Cai-lan Gong; Ying Zhou; Yong Hu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 8 September 2011
PDF: 8 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 819327 (8 September 2011); doi: 10.1117/12.900295
Show Author Affiliations
Cai-lan Gong, Shanghai Institute of Technical Physics (China)
Ying Zhou, Shanghai Institute of Technical Physics (China)
Yong Hu, Shanghai Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

© SPIE. Terms of Use
Back to Top