Volume 21, Issue 62 (9-2021)                   jgs 2021, 21(62): 201-219 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Bayat A, Assar Enayati A, Toshani A. Verification of CALIOP, MODIS, MISR, and OMI aerosol optical depth retrievals against Sun-photometer data over Zanjan. jgs 2021; 21 (62) : 10
URL: http://jgs.khu.ac.ir/article-1-3297-en.html
1- University of Zanjan , abayat@znu.ac.ir
2- University of Zanjan
Abstract:   (5748 Views)
In this paper, aerosol optical depth measured by Caliop, MODIS, MISR, and OMI satellite sensors is compared with Sun-photometer data located in the Institute for Advanced Studies in Basic Sciences (IASBS) from December 2009 to December 2013 over Zanjan city. We computed figures for root mean square error (RMSE), mean absolute error (MAE) and root mean bias (RMB) between space-born and ground-based sensor measurements. The results show that the Caliop and MISR sensors have the highest correlation (0.61 and 0.54), respectively, with Sun-photometer measurements over Zanjan area. MISR, Caliop, and OMI sensors have the closest aerosol optical depth data to the Sun-photometer measurements (the fitted line slope is 0.68, 0.61 and 0.59, respectively) which represents the appropriate model used in the sensors to extract the aerosol optical depth. The variable monthly AOD figures obtained with different sensors indicate underestimation by MODIS and Caliop instruments (0.32 and 0.83 respectively) over Zanjan city relative to the Sun-photometer data, and overestimation by OMI and MISR instruments (1. 23 and 1.08 respectively).
Article number: 10
Full-Text [PDF 1832 kb]   (1102 Downloads)    
Type of Study: Research | Subject: Rs

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Applied researches in Geographical Sciences

Designed & Developed by : Yektaweb