10.34867/GI.2013.4
Napiórkowska, Milena
Milena
Napiórkowska
Tomaszewska, Monika
Monika
Tomaszewska
https://orcid.org/0000-0003-3641-323X
The relationship between Carbon dioxide (CO2) /derived/ from SCIAMACHY.ENVISAT-1, meteorological parameters, and vegetation indices – case study of Poland
Institute of Geodesy and Cartography
2013
Geoinformation Issues, 2013, Vol. 5, No 1(5), pages 43-56
The requirement for information concerning air quality with special attention to CO2 concentration is increasing in different fields of research. Satellite observations could provide information on gases which for special areas could be provided with high temporal resolution. One of the sources of measurements of CO2was the SCIAMACHY.ENVISAT-1 (the SCanning Imaging Absorption spectroMeter for Atmospheric CHar-tographY) sensor. The study that has been introduced as part of the National Project (1600/B/T02/2011/40) of the Institute of Geodesy and Cartography: “Application of new generation satellite data for the assessment of the impact of soil moisture and biomass on carbon balance” relates to the application of CO2 measure-ments by the SCIAMACHY sensor for the environment. The main objective of the Project was to use the satellite data as an input to the model of assessing carbon balance. Unfortunately it was not possible to ob-tain the data from the satellite at the time of carbon in-situ measurements. The paper presents the relation-ships performed between CO2 values derived from SCIAMACHY data and meteorological parameters measured at ground stations throughout Poland. Also presented is the relationship between CO2 and the vegetation index (NDVI) calculated from NOAA satellites, and between CO2 concentration and the percentage of forest cover in NUTS2 regions in Poland. The correlation between CO2 and air temperature T has been found to be significant, as well as that between CO2 and net radiation Rn. In the regional scale it was also concluded that the percentage of forest areas determines the concentration of CO2 in the air. In addition the seasonal correlation of CO2 and NDVI was determined. This research might be a contribution for the further analysis of air quality using the Sentinel – 4 and 5 of the COPERNICUS Programme.