Studying spatial variations of air pollutant concentrations from the maps pollution design requires either a dense sensor network, the combination of background data and satellite remote sensing data or, at best, the coupling of the two solutions. Due to the high cost of measuring equipment, it is difficult to have a network of sensors dense enough to continuously measure air pollution. In cities with a low number of measurement stations (1 to 3, for example), by using data from ground sensors and AOD from satellite images for mapping concentrations pollutants, an estimation model (an estimation algorithm, an estimation equation) of these concentrations from the AOD values. If all data (background data and remote sensing data) have been used in the development of estimation model (M1), can it possible to validate this M1 model from the model developed by another researcher (M2) , by applying for example the M2 model to the AOD used for the M1, then by comparing the results of the M1 and the M2 ?
Hi,Robert Vancelas Obiang Zogo
In my opinion, we should know the accuracy of M2 model.If it greater than 90 percent , then i think the method is good .
That is a good research question. Though I don't think it is a good idea, I suggest that you try and see what kind of results you will get and propose improvement in the future.
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