With current science and policy needs, more attention needs to be given to better measurement protocols of air pollutants which is crucial for evaluating the overall air quality. Air monitoring stations managed by institutions or government agencies for monitoring air pollutants are usually point-based and location-specific, with most of them located in urban regions. Given the heterogeneous sources of aerosols in different seasons and locations in the Indian region, the spatial coverage of such measurements is insufficient. In the recent past, many studies have been conducted which utilized satellite-derived reanalysis PM concentration for assessing the air quality over a wide spatial distribution. However, what the satellite-derived reanalysis data make up by obtaining continuous spatial distribution of PM, they lack in accuracy of the measured data due to several limitations discussed in detail in the present work. The bias in the accurate reanalysis PM concentration dataset is especially evident when there is very high loading of PM in post-monsoon and winter season in the Indo-Gangetic Plain. Compared to the commonly used methods for PM monitoring, utilization of columnar concentration measurement techniques such as Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) appears to be a suitable method. Despite being an important contributor to air quality, there is a lack of standardization of PM mass measurements in India. It has been noted that standardizing the measurement techniques and parameters is urgently needed.