Green city air measurement and health exercise big data monitoring based on remote sensing images and sensors

The current technological solution that can carry out wide coverage, low cost, long-term observation and collection of large-scale regional information is satellite remote sensing technology, which can help people improve the level of development in many fields. Nowadays, people are facing a serious environmental problem in the process of social development: air pollution. It is very important to study the principle of its production. In the past, ground monitoring can usually provide a long time sequence and high-precision pollutant concentration. Many meteorological monitoring stations are sparsely distributed and cannot effectively monitor and analyze the spatial distribution of atmospheric pollutants. This article will the detection of the spatial distribution of the smaller pollutants and their concentration changes are the main targets of information collection, and the method used is an inversion algorithm based on satellite remote sensing technology. Through the use of satellite technical characteristics to observe and analyze the atmosphere and analyze its correlation with the smaller pollutant parameters in the air, use the AOT retrieval algorithm and the AOT retrieval method with NDVI low-resolution processing to collect satellites The obtained data was processed and analyzed, and two AOT inversion models were successfully obtained. (C) 2021 Elsevier B.V. All rights reserved.