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Assessment of Global Carbon Dioxide Concentration Using MODIS and GOSAT Data
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| Title: | Assessment of Global Carbon Dioxide Concentration Using MODIS and GOSAT Data |
| Authors: | Guo, Meng Browse this author | | Wang, Xiufeng Browse this author →KAKEN DB | | Li, Jing Browse this author | | Yi, Kunpeng Browse this author | | Zhong, Guosheng Browse this author | | Tani, Hiroshi Browse this author →KAKEN DB |
| Keywords: | MODIS | | CO2 concentration | | GOSAT TANSO | | LST | | NDVI/EVI | | LAI/FPAR | | GPP/NPP |
| Issue Date: | Dec-2012 |
| Publisher: | MDPI |
| Journal Title: | Sensors |
| Volume: | 12 |
| Issue: | 12 |
| Start Page: | 16368 |
| End Page: | 16389 |
| Publisher DOI: | 10.3390/s121216368 |
| Abstract: | Carbon dioxide (CO2) is the most important greenhouse gas (GHG) in the atmosphere and is the greatest contributor to global warming. CO2 concentration data are usually obtained from ground observation stations or from a small number of satellites. Because of the limited number of observations and the short time series of satellite data, it is difficult to monitor CO2 concentrations on regional or global scales for a long time. The use of the remote sensing data such as the Advanced Very High Resolution Radiometer (AVHRR) or Moderate Resolution Imaging Spectroradiometer (MODIS) data can overcome these problems, particularly in areas with low densities of CO2 concentration watch stations. A model based on temperature (MOD11C3), vegetation cover (MOD13C2 and MOD15A2) and productivity (MOD17A2) of MODIS (which we have named the TVP model) was developed in the current study to assess CO2 concentrations on a global scale. We assumed that CO2 concentration from the Thermal And Near infrared Sensor for carbon Observation (TANSO) aboard the Greenhouse gases Observing SATellite (GOSAT) are the true values and we used these values to check the TVP model accuracy. The results indicate that the accuracy of the TVP model is different in different continents: the greatest Pearson's correlation coefficient (R2) was 0.75 in Eurasia (RMSE = 1.16) and South America (RMSE = 1.17); the lowest R2 was 0.57 in Australia (RMSE = 0.73). Compared with the TANSO-observed CO2 concentration (XCO2), we found that the accuracy throughout the World is between -2.56～3.14 ppm. Potential sources of TVP model uncertainties were also analyzed and identified. |
| Rights: | http://creativecommons.org/licenses/by/3.0/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/51823 |
| Appears in Collections: | 農学院・農学研究院 (Graduate School of Agriculture / Faculty of Agriculture) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 王 秀峰
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