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Validation and Accuracy Analysis of Global MODIS Aerosol Products over Land

1
College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
2
Institute of Space and Earth Information Science, Chinese University of Hong Kong, Shatin, NT, Hong Kong, China
3
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
*
Author to whom correspondence should be addressed.
Atmosphere 2017, 8(8), 155; https://doi.org/10.3390/atmos8080155
Received: 7 July 2017 / Revised: 10 August 2017 / Accepted: 17 August 2017 / Published: 21 August 2017
(This article belongs to the Section Aerosols)
Land surface reflectance (LSR) and aerosol types are the two main factors that affect aerosol inversions over land. According to LSR determination methods, Moderate resolution Imaging Spectroradiometer (MODIS) aerosol products are produced using the Deep Blue (DB) and Dark Target (DT) algorithms. Five aerosol types that are determined from Aerosol Robotic Network (AERONET) ground measurements are used to describe the global distribution of aerosol types in each algorithm. To assess the influence of LSR and the method used to determine aerosol type from aerosol retrievals, 10-km global aerosol products that cover 2013 are selected for validation using Level 2.0 aerosol observations from 175 AERONET sites. The variations in the retrieval accuracy of the DB and DT algorithms for different LSR values are analyzed by combining them with a global 10-km LSR database. Meanwhile, the adaptability of the MODIS products over areas covered with different aerosols is also explored. The results are as follows. (1) Compared with DT retrievals, the DB algorithm yields lower root mean squared error (RMSE) and mean absolut error (MAE) values, and a greater number of appropriate sample points fall within the expected error (EE). The DB algorithm shows higher overall reliability; (2) The aerosol retrieval accuracy of the DB and DT algorithms decline irregularly as the surface reflectance increases; the DB algorithm displays relatively high accuracy; (3) Both algorithms have a high retrieval accuracy over areas covered by weak absorbing aerosols, whereas dust aerosols and continental aerosols produce a low retrieval accuracy. The DB algorithm shows good retrieval results for most aerosols, but a lower accuracy for strong absorbing aerosols. View Full-Text
Keywords: AERONET; aerosol optical depth (AOD); MODIS; DT algorithm; DB algorithm; land surface reflectance (LSR) AERONET; aerosol optical depth (AOD); MODIS; DT algorithm; DB algorithm; land surface reflectance (LSR)
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Wang, Q.; Sun, L.; Wei, J.; Yang, Y.; Li, R.; Liu, Q.; Chen, L. Validation and Accuracy Analysis of Global MODIS Aerosol Products over Land. Atmosphere 2017, 8, 155.

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