Special Issue "Aerosol and Cloud Remote Sensing"


A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: 1 July 2015

Special Issue Editor

Guest Editor
Dr. Alexander A. Kokhanovsky
EUMETSAT, Eumetsat Allee 1, D-64295 Darmstadt, Germany
E-Mail: Alexander.Kokhanovsky@eumetsat.int
Phone: +49 6151 807 5261
Interests: remote sensing; light scattering; radiative transfer; inverse problems; atmospheric optics; retrieval of aerosol and cloud properties from spaceborne observations

Special Issue Information

Dear Colleauges,

Remote sensing aerosols, clouds, and aerosol–cloud interactions is a hot topic of modern atmospheric remote sensing studies. Both aerosols and clouds influence climate and weather. Their properties could change with time, leading to planetary energy imbalance on a global scale. For instance, recent studies show that there is a change in aerosol load (decrease/increase) on a decadal scale in several places worldwide. The same is true for cloud properties including cloud altitudes.

Optical and thermal infrared remote sensing of aerosols and clouds is a mature research field with a long history. Great progress has been achieved (especially in the last 40 years) using both ground-based and satellite instrumentation. The main parameters of interest are aerosol/cloud optical and microphysical properties, concentration, and aerosol/cloud geometrical characteristics (e.g., the altitudes, thickness and spatial extent). Aerosol–cloud interactions have been heavily studied as well; however, more research is needed in this area. In particular, new fast codes for the solution of the inverse problem, based on the multi-angular light intensity and polarization measurements, must be developed and applied to the satellite measurements on a global scale including real-time operational retrievals. This is of special importance for studies of natural hazards such as dust storms, hurricanes, wild fires, volcanic explosions and technological catastrophes with ejection of aerosol particles (e.g., soot) in the atmosphere at various heights.

This special issue is aimed at the presentation of recent results in ground-based and satellite remote sensing of aerosols and clouds, including validation of retrievals based on independent measurements.

Dr. Alexander A. Kokhanovsky
Guest Editor


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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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 1400 CHF (Swiss Francs).


  • aerosol remote sensing
  • cloud remote sensing
  • radiative transfer
  • aerosol optical thickness
  • cloud optical thickness
  • atmospheric pollution
  • aerosol–cloud interactions
  • climate change
  • remote sensing
  • precipitation
  • light scattering
  • aerosol microphysics
  • cloud microphysics
  • aerosol vertical profile
  • cloud top height

Published Papers (3 papers)

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Displaying article 1-3
p. 1529-1539
by , , ,  and
Remote Sens. 2015, 7(2), 1529-1539; doi:10.3390/rs70201529
Received: 29 September 2014 / Accepted: 29 January 2015 / Published: 2 February 2015
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(This article belongs to the Special Issue Aerosol and Cloud Remote Sensing)
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p. 12866-12884
by , ,  and
Remote Sens. 2014, 6(12), 12866-12884; doi:10.3390/rs61212866
Received: 20 October 2014 / Revised: 8 December 2014 / Accepted: 15 December 2014 / Published: 22 December 2014
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(This article belongs to the Special Issue Aerosol and Cloud Remote Sensing)
p. 8760-8778
by , , ,  and
Remote Sens. 2014, 6(9), 8760-8778; doi:10.3390/rs6098760
Received: 31 July 2014 / Accepted: 10 September 2014 / Published: 19 September 2014
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(This article belongs to the Special Issue Aerosol and Cloud Remote Sensing)
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Last update: 20 January 2015

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