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Special Issue "Satellite Derived Global Atmosphere Product Validation/Evaluation"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmosphere Remote Sensing".

Deadline for manuscript submissions: 30 November 2019

Special Issue Editor

Guest Editor
Prof. Maria João Costa

Universidade de Évora, Institute of Earth Sciences and Dept. Physics, Évora, Portugal
Website | E-Mail
Phone: +351 266 745309
Interests: Atmospheric Remote Sensing; Cloud and Aerosol properties; Radiative Transfer Modelling; Radiative Forcing; Cloud-Aerosol- Interactions; Cloud-Aerosol Radiative Effects

Special Issue Information

Dear Colleagues,

Satellite missions for meteorological and earth-atmosphere observation purposes have steadily increased in the last six decades. More recently, sensor technological advances reflect in the development and improvement of the ability to describe the atmosphere from satellite remote sensing. Satellite-derived global atmosphere products span a vast set of atmospheric properties, obtained from numerous different sensors at a variety of spatial and temporal scales. These products represent major sources of continuous data at the global scale, allowing for monitoring the atmospheric environment and greatly contributing to a better understanding of atmospheric processes and of the climate system and its changes. The consistency of atmospheric products retrieved from satellite data is thus crucial and must be assessed in order to provide users with information on product accuracy, precision and stability. The validation/evaluation of satellite-derived global atmosphere products are challenging tasks that require the use of independent reference data. Useful datasets to quantify uncertainties and address validation include, but are not limited to, ground-based measurements and reference satellite products for satellite inter-comparison. This Special Issue invites contributions dealing with the validation/evaluation of radiometric and geophysical global atmospheric satellite retrievals.

Prof. Maria João Costa
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Satellite Remote Sensing
  • Global Atmospheric Products
  • Validation
  • Evaluation
  • Uncertainty

Published Papers (1 paper)

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Research

Open AccessArticle Validation and Comparison of MODIS C6.1 and C6 Aerosol Products over Beijing, China
Remote Sens. 2018, 10(12), 2021; https://doi.org/10.3390/rs10122021
Received: 30 October 2018 / Revised: 3 December 2018 / Accepted: 11 December 2018 / Published: 12 December 2018
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Abstract
The operational Moderate Resolution Imaging Spectroradiometer (MODIS) Aerosol Products (APs) have provided long-term and wide-spatial-coverage aerosol optical properties across the globe, such as aerosol optical depth (AOD). However, the performance of the latest Collection 6.1 (C6.1) of MODIS APs is still unclear over
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The operational Moderate Resolution Imaging Spectroradiometer (MODIS) Aerosol Products (APs) have provided long-term and wide-spatial-coverage aerosol optical properties across the globe, such as aerosol optical depth (AOD). However, the performance of the latest Collection 6.1 (C6.1) of MODIS APs is still unclear over urban areas that feature complex surface characteristics and aerosol models. The aim of this study was to validate and compare the performance of the MODIS C6.1 and C6 APs (MxD04, x = O for Terra, x = Y for Aqua) over Beijing, China. The results of the Dark Target (DT) and Deep Blue (DB) algorithms were validated against Aerosol Robotic Network (AERONET) ground-based observations at local sites. The retrieval uncertainties and accuracies were evaluated using the expected error (EE: ±0.05 + 15%) and the root-mean-square error (RMSE). It was found that the MODIS C6.1 DT products performed better than the C6 DT products, with a greater percentage (by about 13%–14%) of the retrievals falling within the EE. However, the DT retrievals collected from two collections were significantly overestimated in the Beijing region, with more than 64% and 48% of the samples falling above the EE for the Terra and Aqua satellites, respectively. The MODIS C6.1 DB products performed similarly to the C6 DB products, with 70%–73% of the retrievals matching within the EE and estimation uncertainties. Moreover, the DB algorithm performed much better than DT algorithm over urban areas, especially in winter where abundant missing pixels were found in DT products. To investigate the effects of factors on AOD retrievals, the variability in the assumed surface reflectance and the main optical properties applied in DT and DB algorithms are also analyzed. Full article
(This article belongs to the Special Issue Satellite Derived Global Atmosphere Product Validation/Evaluation)
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