Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, Vol. 20, No. 4, pp. 30-41

Absolute radiometric calibration and validation of Aist-2D satellite data based on Moon imagery

A.I. Vasilyev 1 , A.S. Stremov 1 , V.P. Kovalenko 1 , S.V. Romaikin 1 , A.V. Korzhimanov 2 
1 Research Center for Earth Operative Monitoring, Moscow, Russia
2 JSC SRC Progress, Samara, Russia
Accepted: 14.08.2023
DOI: 10.21046/2070-7401-2023-20-4-30-41
The article deals with the fundamental possibility of absolute radiometric calibration and validation of data from the Russian experimental and technological satellite Aist-2D on the basis of Moon observation. To do this, firstly, data collecting of the Moon was carried out in the period November 2021 – March 2022 and pre-processing of the resulting data was performed in terms of detecting and contouring the lunar disk, as well as estimating the average digital numbers for each spectral channel. Then, based on the values of the spectral reflectance of the Moon, the data was calculated using the ROLO 311g analytical model, calibration characteristics were calculated (RMS of regressions for spectral channels is about 1 W•m–2•sr–1•µm–1, as well as an assessment of the stability of the sensor was assessed — the deviation from the median value of the multiplicative factor is 2–3 % depending on the spectral channel. The third step, to assess the correctness of the measurements using the calculated multiplicative factor in the period January – March 2022, the data over RadCalNet test sites were collected, as well as the data over pseudo-invariant calibration sites Libya 4 and Niger 3. Considering that RadCalNet ground-based measurement data were available only for the Gobabeb test site, the sample was enriched using Landsat and Sentinel data for the same test sites, by recalculating the radiance with a cross-calibration technique. As a result, the estimates obtained demonstrate an absolute accuracy of spectral radiance measurements of 4.72–11.59 % (depending on the spectral channel) based on the calibration results with the Moon imagery data. At the same time, the validation of the cross-calibration results (using Sentinel data) based on the measured lunar spectral radiance gave 2.03–10.16 %, depending on the spectral channel.
Keywords: remote sensing, satellite, Aist-2D, absolute radiometric calibration, lunar reflectance, Moon observation, ROLO, RadCalNet test-sites, Landsat, Sentinel
Full text

References:

  1. Vasilyev A. I., Stremov A. S., Kovalenko V. P., Study of Resurs-P wide-swath multispectral equipment data applicability to spectrometric tasks, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, No. 14, pp. 36–51 (in Russian), DOI: 10.21046/2070-7401-2017-14-4-36-51.
  2. Vasilyev A. I., Romaikin S. V., Korzhimanov A. V., Moon Image Processing Algorithms for Absolute Calibration of Remote Sensing Imaging Systems, Materialy 20-i Mezhdunarodnoi konferentsii ”Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa” (Proc. 20th Intern. Conf. “Current Problems in Remote Sensing of the Earth from Space”), Moscow: IKI RAS, 2022, p. 23 (in Russian), DOI: 10.21046/20DZZconf-2022a.
  3. Opytno-tekhnologicheskii malyi kosmicheskii apparat “AIST-2D” (Experimental and technological small spacecraft “Aist-2D”), Samara: Izd. SamNTs RAN, 2017, 324 p. (in Russian).
  4. Stremov A. S., Vasilyev A. I., Kovalenko V. P., Method of Vicarious Calibration of the Kanopus-V Satellite Constellation Data Based on Long-Term Observation of RadCalNet Polygons, Raketno-kosmicheskoe priborostroenie i informatsionnye sistemy, 2021, Vol. 8, Issue 4, pp. 23–30 (in Russian), DOI: 10.30894/issn2409-0239.2021.8.4.23.30.
  5. Bouvet M., Thome K., Berthelot B. et al., RadCalNet: A Radiometric Calibration Network for Earth Observing Imagers Operating in the Visible to Shortwave Infrared Spectral Range, Remote Sensing, 2019, Vol. 11, Article 2401, https://doi.org/10.3390/rs11202401.
  6. Czapla-Myers J., McCorkel J., Anderson N. et al., The Ground-Based Absolute Radiometric Calibration of Landsat 8 OLI, Remote Sensing, 2015, Vol. 7, pp. 600–626, https://doi.org/10.3390/rs70100600.
  7. Dinguirard M., Slate P. N., Calibration of Space-Multispectral Imaging Sensors, Remote Sensing of Environment, 1999, Vol. 68(3), pp. 194–205, DOI: 10.1016/s0034-4257(98)00111-4.
  8. Kieffer H. H., Photometric Stability of the Lunar Surface, Icarus, 1997, Vol. 130(2), pp. 323–327, https://doi.org/10.1006/icar.1997.5822.
  9. Kieffer H. H., Stone T. C., The Spectral Irradiance of the Moon, The Astronomical J., 2005, Vol. 129(6), pp. 2887–2901, DOI: 10.1086/430185.
  10. Markham B. L., Barsi J. A., Landsat-8 operational land imager on-orbit radiometric calibration, IEEE Intern. Geoscience and Remote Sensing Symp. (IGARSS), 2017, pp. 4205–4207, DOI: 10.1109/igarss.2017.8127929.
  11. Meygret A., Blanchet G., Colzy S., Mounier F., Gross-Colzy L., Buil C., Progress on Extra-terrestrial Target Based Calibration techniques using PLEIADES-HR satellites, Working Group on Calibration and Validation (WGCV): 41: Infrared Visible and Optical Sensors (IVOS), Tucson, 15–17 March 2017, 28 p.
  12. Stone T. C., Kieffer H., Lukashin C., Turpie K., The Moon as a Climate-Quality Radiometric Calibration Reference, Remote Sensing, 2020, Vol. 12(11), Article 1837, DOI: 10.3390/rs12111837.
  13. Thuillier G., The solar spectral irradiance from 200 to 2400 nm as measured by the SOLSPEC spectrometer from the Atlas and Eureca missions, Solar Physics, 2003, Vol. 214(1), pp. 1–22, DOI: 10.1023/a:1024048429145.
  14. Wilson N., Greenberg J., Jumpasut A., Collison A., Weichelt H., Absolute Radiometric Calibration of Planet Dove Satellites, Flocks 2p & 2e, San Francisco, CA, USA: Planet Labs, 2017, 2 p.