Special Issue "Calibration and Verification of Remote Sensing Instruments and Observations"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (15 November 2013)
Dr. Richard Müller
German Meteorological Service CM-SAF, Frankfurter Straße 135, 63067 Offenbach, Germany
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
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
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.
- satellite instrument verification
- satellite instrument calibration
- calibration/verification of remote sensing observations
- pre-launch calibration; on-board calibration
- correction of degradation
- spectral response function
Remote Sens. 2014, 6(6), 5692-5695; doi:10.3390/rs6065692
Received: 10 June 2014; Accepted: 11 June 2014 / Published: 17 June 2014| PDF Full-text (88 KB) | HTML Full-text | XML Full-text
Article: The Improved NRL Tropical Cyclone Monitoring System with a Unified Microwave Brightness Temperature Calibration Scheme
Remote Sens. 2014, 6(5), 4563-4581; doi:10.3390/rs6054563
Received: 14 November 2013; in revised form: 26 April 2014 / Accepted: 6 May 2014 / Published: 19 May 2014| PDF Full-text (3416 KB) | HTML Full-text | XML Full-text
Article: Assessment and Correction of on-Orbit Radiometric Calibration for FY-3 VIRR Thermal Infrared Channels
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| PDF Full-text (1783 KB) | HTML Full-text | XML Full-text
Article: Initial Stability Assessment of S-NPP VIIRS Reflective Solar Band Calibration Using Invariant Desert and Deep Convective Cloud Targets
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| PDF Full-text (1242 KB) | HTML Full-text | XML Full-text
Article: Spatio-Temporal Assessment of Tuz Gölü, Turkey as a Potential Radiometric Vicarious Calibration Site
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| PDF Full-text (2901 KB) | HTML Full-text | XML Full-text | Supplementary Files
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| PDF Full-text (9147 KB) | HTML Full-text | XML Full-text
Article: Multi-Mission Cross-Calibration of Satellite Altimeters: Constructing a Long-Term Data Record for Global and Regional Sea Level Change Studies
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| Cited by 1 | PDF Full-text (1013 KB) | HTML Full-text | XML Full-text
Article: Multi-Sensor Calibration Studies of AVHRR-Heritage Channel Radiances Using the Simultaneous Nadir Observation Approach
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| PDF Full-text (1523 KB) | HTML Full-text | XML Full-text
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| PDF Full-text (1090 KB) | HTML Full-text | XML Full-text
Article: Absolute Calibration of Optical Satellite Sensors Using Libya 4 Pseudo Invariant Calibration Site
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| Cited by 1 | PDF Full-text (1049 KB) | HTML Full-text | XML Full-text
Article: The Application of Deep Convective Clouds in the Calibration and Response Monitoring of the Reflective Solar Bands of FY-3A/MERSI (Medium Resolution Spectral Imager)
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| PDF Full-text (637 KB) | HTML Full-text | XML Full-text
Article: Hierarchical Bayesian Data Analysis in Radiometric SAR System Calibration: A Case Study on Transponder Calibration with RADARSAT-2 Data
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| PDF Full-text (3961 KB) | HTML Full-text | XML Full-text
Article: Analysis and Inter-Calibration of Wet Path Delay Datasets to Compute the Wet Tropospheric Correction for CryoSat-2 over Ocean
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| Cited by 1 | PDF Full-text (4573 KB) | HTML Full-text | XML Full-text
Last update: 9 October 2013