Information regarding air quality in a certain location and time is very important especially during catastrophes such as forest fires and volcanoes eruption. But unfortunately, ground measurements in Indonesia is very limited and it is very expensive and requiring high skill human resources to make continuous measurements. Satellite data can overcome these problems as it has larger spatial and temporal coverages. Important pollutants considered in this study were carbon monoxide (CO) and ozone (O₃). Monthly and daily CO and O₃ concentrations data from January - December 2015 were observed by AIRS, NASA. Daily cumulative hotspot data as indicator of forest fires from January - December 2015 were obtained from Fire Information for Resource Management System (FIRMS), NASA. Regression analysis was applied to study the influence of number of hotspot to CO concentration. It was found that the CO concentration was strongly correlated to number of hotspot in the area (r > 0.6), and number of hotspot strongly influenced CO concentration (p < 0.05). On the other hand, O₃ concentration was strongly correlated to CO concentration (r > 0.6) and CO concentration strongly influenced O₃ concentration (p < 0.05).

Keywords: carbon monoxide, ozone, hotspot, AIRS, FIRMS