THE FRAMEWORK TO SUPPORT MULTI-SCALE ATMOSPHERIC ENVIRONMENTAL CAPACITY ESTIMATION WITH SATELLITE BIG DATA

摘要

A series of big socio-economic development changes in the new era of China lead to new challenges that the methodology of air pollution control is increasingly complex and the marginal of air pollution control becomes gradually diminishing. These challenges call for a pressing demand for understanding the sensitivity of a region's atmospheric environment to pollutants and the potentials of atmospheric resources. This paper exploits an indicator called atmospheric environment capacity to measure the maximal allowed emissions of air pollutants in a region while meeting the air quality objectives. To enhance the accuracy of atmospheric environment capacity, this paper integrates remote sensing techniques and other dataset to generate a result without breaks over spatial and time dimension. The framework of our proposed methodology includes multi-modal remote sensing data processing, critical parameters mining from remote sensing data, and atmospheric environment capacity simulation.