Volume XLII-3/W9
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W9, 141–146, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W9-141-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W9, 141–146, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W9-141-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  25 Oct 2019

25 Oct 2019

AN AEROSOL LIDAR DATA VISUALIZATION METHOD BASED ON ARCGIS

C. Shu1, H. Zhao2, H. L. Zhang2, X. K. Wang1, and Y. P. Liu1 C. Shu et al.
  • 1School of Computer Science and Engineering, North MinZu University Yinchuan 750021, China
  • 2School of Electrical and Information Engineering, North MinZu University Yinchuan 750021, China

Keywords: Extinction Coefficient, ArcGIS , Natural Neighborhood Method, LidarLidar, Aerosol

Abstract. The geographical information, temporal and spatial distribution of pollution sources cannot be accurately described by the traditional aerosol lidar inversion data. In order to accurately locate the pollution sources and monitor the spatial and temporal distribution of pollutants, an aerosol lidar data visualization method based on ArcGIS is proposed in this paper. A natural neighborhood method is used to perform group interpolation on ArcGIS software, and the range range-extinction coefficient relationship diagram is plotted using the aerosol optical data obtained from Klett inversion algorithm. The geographic information is added to the lidar inversion data in this diagram. The aerosol spatial and temporal distribution range and the direction of aerosol diffusion are accurately displayed directly. The change of aerosol concentration is plotted in different colors, the visually displaying the concentration of pollutants in the detection area is realized. The aerosol detection data in the sunny and haze days in Yinchuan are visualized in this paper. The result shows that this method can quickly determine the geographical location of pollution sources and visualize the spatial and temporal distribution of aerosols. This method can be used to display aerosol data with geographic information for meteorological and environmental protection departments. This method can provide data support for meteorological and environmental protection departments to quickly determine the location and concentration of pollution sources.