In the last decade, the air pollution networks are increasing in the main countries, however, the installation of low-cost or robust sensors have challenges associated to the geography installation and the proximity differences specially with buildings or mountains. Therefore, a calibration of the satellite with the air pollution sensor and networks should be a solution for the implementation in large scale in our countries. In this paper, it proposes a new methodology for the calibration of the satellite sensors and the low-cost sensor network installed in Lima with ten sensors. Therefore, the satellite data allows to evaluation all the city with 624′726′826′182 points, though pixel of 5m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , in each PM <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2.5</inf> in Lima; our findings are a mean absolute error of 0.22 μg/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> in a scale of 0 to 80μg/m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> .