Next Article in Journal
Improving Sea Ice Characterization in Dry Ice Winter Conditions Using Polarimetric Parameters from C- and L-Band SAR Data
Previous Article in Journal
Analysis of Suspended Particulate Matter and Its Drivers in Sahelian Ponds and Lakes by Remote Sensing (Landsat and MODIS): Gourma Region, Mali
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessCommunication
Remote Sens. 2017, 9(12), 1269; https://doi.org/10.3390/rs9121269

Evaluation and Comparison of Long-Term MODIS C5.1 and C6 Products against AERONET Observations over China

1
College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China
2
Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China
3
Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Received: 26 October 2017 / Revised: 23 November 2017 / Accepted: 30 November 2017 / Published: 7 December 2017
(This article belongs to the Section Atmosphere Remote Sensing)
Full-Text   |   PDF [12411 KB, uploaded 7 December 2017]   |  

Abstract

MODIS (MODerate Resolution Imaging Spectroradiometer) aerosol products are the most widely used satellite retrieved aerosol optic depth (AOD) products, which compensate for the spatial lack of ground-based sun photometer observations. The newly released Collection 6 (C6) aerosol products have some improvements compared to the Collection 5.1 (C5.1) products with optimized algorithms and newly revised upstream products. Additionally, a three-kilometer resolution AOD product was added in the C6 product. In this study, the accuracies and regional applicability of long-term (2001–2015) different MODIS C5.1 and C6 aerosol products in China were evaluated against the 16 AERONET (Aerosol Robotic Network) observations with observations over more than three years. The overall analysis indicates that the C6 DT (Dark Target) 10 km products slightly improved the retrieval accuracies, with about 3% more data falling within the Expected Error (EE) envelope. However, for Deep Blue (DB) products, the C6 algorithm significantly improved the accuracy over all of China, and increased the successful retrieval number by extending retrieval coverages. Regional analysis demonstrated that the C6 DT 10 km product did not perform well in East China, with only 33.5% of retrievals falling within the EE envelope. For the DB product, the C6 algorithm significantly increased the number successfully retrieved, and was more accurate in all four regions in China. The validation of the DT 3 km product suggests large differences existed between the Terra and Aqua results. The accuracy of the Aqua DT 3 km product is obviously higher than that of the Terra DT 3 km product. The results of the study suggest that proper AOD products need to be considered when evaluating aerosol loading situations in different regions in China. View Full-Text
Keywords: aerosol; MODIS C6; precision; regional applicability aerosol; MODIS C6; precision; regional applicability
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Fan, A.; Chen, W.; Liang, L.; Sun, W.; Lin, Y.; Che, H.; Zhao, X. Evaluation and Comparison of Long-Term MODIS C5.1 and C6 Products against AERONET Observations over China. Remote Sens. 2017, 9, 1269.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top