Retraction Note: Mountain air pollution evaluation and tourism brand building based on remote sensing image processing

Abstract

In recent 20 years, China has made a lot of efforts and achieved some results in air governance. However, it is not ideal from the result. Some areas of pollution also affect the daily life and physical and mental health of the people, which is an important environmental problem that China needs to solve. This paper presents a double star cooperative AOT inversion algorithm with complex background in urban area. Aiming at the difficulty of AOT inversion on urban area highlighted surface, the paper uses the double satellite remote sensing data and the atmospheric radiation transmission model to realize the inverse reflection of AOT parameters in urban area by using satellite remote sensing image processing. With the development of society, the progress of the times, and the rapid development of urbanization, the environmental pollution problems in some areas also follow. However, this problem is more difficult, because it involves many factors. At present, there is no comprehensive evaluation model to comprehensively evaluate various pollution situations. In this paper, we have carried out a detailed study on the typical model of mountain air pollution and the evaluation method of mountain air pollution. This work provides a practical solution for simulating the air pollution in mountain areas and analyzing environmental data. With the development of economy, people pay more attention to tourism, and the construction of tourism brand has become a trend. Higher and better service has become a new pursuit of consumers in the process of tourism, which makes more rural people get rid of poverty, and further improves the attention and protection of ecological environment. Therefore, this paper studies the assessment of mountain air pollution and the construction of tourism brand by using remote sensing image processing technology, which promotes pollution prevention and tourism industry development.