Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 645-649, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-645-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 645-649, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-645-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

SPATIAL AND TEMPORAL CHANGES OF AEROSOL OPTICAL DEPTH AND ITS DRIVING FACTORS BASED ON MODIS IN JIANGSU PROVINCE

C. Jiang1,2, Q. Xu1, Y. K. Gu1, X. Y. Qian1, and J. N. He1 C. Jiang et al.
  • 1Dept. of Suveying and Geoinformatics, Nanjing University of Posts and Telecommunications, Nanjing, P.R.China
  • 2School of Earth Sciences and Engineering, Hohai University, Nanjing, P.R.China

Keywords: AOD, MODIS, Temporal Change, Spatial Autocorrelation, Gravity Model, Driving Factor

Abstract. Aerosol Optical Depth (AOD) is of great value for studying air mass and its changes. In this paper, we studied the spatial-temporal changes of AOD and its driving factors based on spatial autocorrelation model, gravity model and multiple regression analysis in Jiangsu Province from 2007 to 2016. The results showed that in terms of spatial distribution, the southern AOD value is higher, and the high-value aggregation areas are significant, while the northern AOD value is lower, but the low-value aggregation areas constantly change. The AOD gravity centers showed a clear point-like aggregation. In terms of temporal changes, the overall AOD in Jiangsu Province increased year by year in fluctuation. In terms of driving factors, the total amount of vehicles, precipitation and temperature are important factors for the growth of AOD.