Next Article in Journal
Underground Object Classification for Urban Roads Using Instantaneous Phase Analysis of Ground-Penetrating Radar (GPR) Data
Next Article in Special Issue
Evaluating MODIS Dust-Detection Indices over the Arabian Peninsula
Previous Article in Journal
Hyperspectral Target Detection via Adaptive Information—Theoretic Metric Learning with Local Constraints
Previous Article in Special Issue
An Evaluation of MODIS-Retrieved Aerosol Optical Depth over AERONET Sites in Alaska
Correction published on 8 March 2019, see Remote Sens. 2019, 11(5), 568.

Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation

by 1,2,†, 3,*,†, 1,4, 1, 5, 1,2, 6 and 6
The Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
University of Chinese Academy of Sciences, Beijing 100049, China
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
Department of Computing and Mathematics, College of Engineering and Technology, University of Derby, Kedleston Road, Derby DE22 1GB, UK
College of Resources and Environmental Science, Ningxia University, Yinchuan 750021, China
Department of Geography, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, UK
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Remote Sens. 2018, 10(9), 1414;
Received: 3 August 2018 / Revised: 30 August 2018 / Accepted: 4 September 2018 / Published: 6 September 2018
(This article belongs to the Special Issue Remote Sensing of Air Quality)
The European Space Agency’s (ESA’s) Aerosol Climate Change Initiative (CCI) project intends to exploit the robust, long-term, global aerosol optical thickness (AOT) dataset from Europe’s satellite observations. Newly released Swansea University (SU) aerosol products include ATSR-2 (1995-2003) and AATSR(2002-2012) retrieval with a spatial resolution of 10 km. Recently an experimental version of a retrieval using AATSR/MERIS synergy was developed to provide four months of data for initial testing. In this study, both AATSR retrieval (SU/AATSR) and AATSR/MERIS synergy retrieval (SU/synergy) datasets are validated globally using Aerosol Robotic Network (AERONET) observations for March, June, September, and December 2008, as suggested by the Aerosol-CCI project. The analysis includes the impacts of cloud screening, surface parameterization, and aerosol type selections for two datasets under different surface and atmospheric conditions. The comparison between SU/AATSR and SU/synergy shows very accurate and consistent global patterns. The global evaluation using AERONET shows that the SU/AATSR product exhibits slightly better agreement with AERONET than the SU/synergy product. SU/synergy retrieval overestimates AOT for all surface and aerosol conditions. SU/AATSR data is much more stable and has better quality; it slightly underestimates fine-mode dominated and absorbing AOTs yet slightly overestimates coarse-mode dominated and non-absorbing AOTs. View Full-Text
Keywords: Aerosol-CCI; AATSR; AOT; global Aerosol-CCI; AATSR; AOT; global
Show Figures

Graphical abstract

MDPI and ACS Style

Che, Y.; Mei, L.; Xue, Y.; Guang, J.; She, L.; Li, Y.; Heckel, A.; North, P. Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation. Remote Sens. 2018, 10, 1414.

AMA Style

Che Y, Mei L, Xue Y, Guang J, She L, Li Y, Heckel A, North P. Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation. Remote Sensing. 2018; 10(9):1414.

Chicago/Turabian Style

Che, Yahui, Linlu Mei, Yong Xue, Jie Guang, Lu She, Ying Li, Andreas Heckel, and Peter North. 2018. "Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation" Remote Sensing 10, no. 9: 1414.

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

Article Access Map by Country/Region

Back to TopTop