Special Issue "Calibration and Verification of Remote Sensing Instruments and Observations"

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

Deadline for manuscript submissions: closed (15 November 2013)

Special Issue Editor

Guest Editor
Dr. Richard Müller
German Meteorological Service CM-SAF, Frankfurter Straße 135, 63067 Offenbach, Germany
Website: http://www.cmsaf.dwd.de/
E-Mail: richard.mueller@dwd.de
Phone: +49 (0) 69 8062 4922
Fax: +49 (0) 69 8062 4955
Interests: remote sensing of surface radiation; clouds and aerosols; sensor calibration; methods for \"merging\" in-situ data with remote sensing data

Special Issue Information

Dear Colleagues,

Satellite instruments are usually well designed and calibrated prior to launch. Unfortunately, no matter how sophisticated the instruments are, they degrade with time e.g. due to thermal, mechanical or electrical effects or exposure to UV radiation. It may be possible to correct this degradation by “recalibration“.
Calibration requires a comparison between the measuring instrument and an “absolute” reference standard of known accuracy. On-board calibration units might be interpreted as reference standard, but they are subject to degradation processes as well. Moreover, many satellite sensors (especially in the VIS) are not adjusted by on-board calibration. Once in space the comparison with reference standards of known accuracy is hardly to manage in terms of metrology as a consequence. Many on-the-fly “calibration” methods rely on the analysis of “radiances” over targets. This on-the-fly satellite “calibration” might be better called satellite sensor verification or drift correction (correction of degradation).
For any application dealing with absolute values of atmospheric or surface variables the correction of degradation effects (drift correction) and pre-launch calibration is quite important, not to say a must. Even for the retrieval of relative quantities like the NDVI correction of degradation is an essential issue, because changes in the spectral response function affect the values of NDVI significantly. Further, inter-calibration plays an important role for the generation of homogeneous data sets e.g. across satellite instruments.
Sensor calibration and verification are thus the basis for reliable remote sensing and proper quality of the derived variables and products. However, the pre-launch calibration, on-board calibration and verification (“recalibration”) of satellite instruments are quite challenging tasks. Regular instrument maintenance is feasible for other remote sensing observations, but they are also subject to adverse conditions that induce sophisticated challenges for calibration and verification, as well. Because of the great importance of instrument calibration and verification we believe that a special issue will be very helpful for the remote sensing community.
We would like to invite you to contribute to the scientific discussion and progress in this field by submission of manuscripts, especially with respect to.
-Methods and instruments for pre-launch calibration.
-Methods and instruments for on-board calibration.
-Methods for on-the-fly verification (“recalibration”); the correction of instrument degradation.
-Methods and instruments for remote sensing under adverse environmental or technical conditions.
-Methods for inter-calibration

Dr. Richard Müller
Guest Editor

Submission

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 1200 CHF (Swiss Francs).

Keywords

  • satellite instrument verification
  • satellite instrument calibration
  • calibration/verification of remote sensing observations
  • pre-launch calibration; on-board calibration
  • correction of degradation
  • spectral response function
  • GERB
  • CERES
  • IASI
  • SCIAMACHY

Published Papers (11 papers)

Remote Sens. 2014, 6(4), 2884-2897; doi:10.3390/rs6042884
Received: 13 September 2013; in revised form: 25 February 2014 / Accepted: 27 February 2014 / Published: 28 March 2014
Show/Hide Abstract | Download PDF Full-text (1783 KB)
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Remote Sens. 2014, 6(4), 2809-2826; doi:10.3390/rs6042809
Received: 7 January 2014; in revised form: 12 March 2014 / Accepted: 18 March 2014 / Published: 27 March 2014
Show/Hide Abstract | Download PDF Full-text (1242 KB)
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Remote Sens. 2014, 6(3), 2534-2571; doi:10.3390/rs6032534
Received: 29 September 2013; in revised form: 6 February 2014 / Accepted: 19 February 2014 / Published: 20 March 2014
Show/Hide Abstract | Download PDF Full-text (9147 KB)

Remote Sens. 2014, 6(3), 2494-2513; doi:10.3390/rs6032494
Received: 15 November 2013; in revised form: 5 March 2014 / Accepted: 10 March 2014 / Published: 20 March 2014
Show/Hide Abstract | Download PDF Full-text (2901 KB) |  Supplementary Files

Remote Sens. 2014, 6(3), 2255-2281; doi:10.3390/rs6032255
Received: 10 October 2013; in revised form: 11 February 2014 / Accepted: 19 February 2014 / Published: 12 March 2014
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Remote Sens. 2014, 6(3), 1845-1862; doi:10.3390/rs6031845
Received: 26 December 2013; in revised form: 5 February 2014 / Accepted: 9 February 2014 / Published: 27 February 2014
Show/Hide Abstract | Download PDF Full-text (1523 KB)

Remote Sens. 2014, 6(2), 1432-1450; doi:10.3390/rs6021432
Received: 15 November 2013; in revised form: 21 January 2014 / Accepted: 22 January 2014 / Published: 18 February 2014
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Remote Sens. 2014, 6(2), 1327-1346; doi:10.3390/rs6021327
Received: 15 December 2013; in revised form: 23 January 2014 / Accepted: 26 January 2014 / Published: 12 February 2014
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Remote Sens. 2013, 5(12), 6958-6975; doi:10.3390/rs5126958
Received: 7 October 2013; in revised form: 14 November 2013 / Accepted: 18 November 2013 / Published: 12 December 2013
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Remote Sens. 2013, 5(12), 6667-6690; doi:10.3390/rs5126667
Received: 19 October 2013; in revised form: 20 November 2013 / Accepted: 28 November 2013 / Published: 4 December 2013
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Remote Sens. 2013, 5(10), 4977-5005; doi:10.3390/rs5104977
Received: 19 April 2013; in revised form: 22 September 2013 / Accepted: 24 September 2013 / Published: 14 October 2013
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Last update: 9 October 2013

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