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
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, 2024, Vol. 21, No. 4, pp. 251-259

Prospects for using satellite data to determine water levels in large lakes

F.Ya. Artikova 1 , S.B. Kalabaev 1 
1 Mirzo Ulugbek National University of Uzbekistan, Tashkent, Uzbekistan
Accepted: 05.08.2024
DOI: 10.21046/2070-7401-2024-21-4-251-259
For economic reasons, water level monitoring is not carried out in all water bodies. The issues of obtaining regular information about the water level can be solved by using altimeter data. Based on satellite altimetry data, the annual variability of the water level of Lake Sudochye which is the largest lake in the Southern Aral Sea region was studied for the period 2008–2021. In this research, data from the specialized G-REALM (Global Reservoirs and Lakes Monitor) altimeter database was collected and analyzed. Water level information from an altimeter database was compared with ground-based observations of water levels at a hydrological station. The results of observations of satellite altimeters were analyzed, statistical estimations were performed and corrections were made to the values of water levels. The series of satellite altimeter data for the studied water basin were successfully calibrated, which made it possible to use them in practice.
Keywords: Lake Sudochye, water level, satellite altimetry, water level measuring station
Full text

References:

  1. Kostianoy A. G., Lebedev S. A., Kazmina M. V., Tsepelev V. Yu., Varlashina V. M., Neschadimova T. G. Sputnikovyi monitoring transgranichnykh vod Rossii i Estonii (Satellite monitoring of transboundary waters of Russia and Estonia), Moscow, Signal Russia, 2012, 16 p. (in Russian).
  2. Kostianoy A. G., Kostianaya E. A., Lebedev S. A., Serykh I. V., Prokof’ev Y. A., Interannual variability in the level of lakes in northwestern Russia, Materialy 6-i Mezhdunarodnoi nauchno-prakticheskoi konferentsii “Fundamental’nye i prikladnye aspekty geologii, geofiziki i geoekologii s ispol’zovaniem sovremennykh informatsionnykh tekhnologii” (Proc. 6th Intern. Scientific and Practical Conf. “Fundamental and Applied Aspects of Geology, Geophysics and Geoecology Using Modern Information Technologies”), Maykop, 2021, Pt. 1, pp. 158–167 (in Russian).
  3. Lebedev S. A., Kostianoy A. G., Sputnikovaya altimetriya Kaspiyskogo morya (Satellite Altimetry of the Caspian Sea), Moscow: Izdatel’skii tsentr “MORE” Mezhdunarodnogo instituta okeana, 2005, 366 p. (in Russian).
  4. Troitskaya Y. I., Rybushkina G. V., Soustova I. A. et al., Satellite altimetry of inland water bodies, Water Resources, 2012, Vol. 39, No. 2, pp. 184–199, DOI: 10.1134/S009780781202008X.
  5. Baghdadi N., Lemarquand N., Abdallah H., Bailly J. S., The relevance of GLAS/ICESat elevation data for the monitoring of river networks, Remote Sensing, 2011, Vol. 3(4), pp. 708–720, DOI: 10.3390/rs3040708.
  6. Benveniste J., Berry P. A.M., Monitoring river and lakes from space, ESA Bulletin, 2004, Vol. 117, pp. 36–42.
  7. Benveniste J., Berry P., Milagro-Perez M. P., Serpe D., River and lake level data from radar altimetry in support of the Tiger initiative, Hydrospace 7 Workshop, 12–14 Nov. 2007, Geneva, Switzerland, 5 p.
  8. Birkett C., Reynolds C., Beckley B., Doorn B., From research to operations: The USDA global reservoir and lake monitor, Coastal Altimetry, Berlin; Heidelberg: Springer, 2011, pp. 19–50, DOI: 10.1007/978-3-642-12796-0_2.
  9. Calmant S., Seyler F., Continental surface waters from satellite altimetry, Comptes Rendus Geoscience, 2006, Vol. 338(14–15), pp. 1113–1122, DOI: 10.1016/j.crte.2006.05.012.
  10. Campos I. O., Mercier F., Maheu C. et al., Temporal variations of river basin waters from TOPEX/Poseidon satellite altimetry: Application to the Amazon basin, Earth and Planetary Science, 2001, Vol. 333(10), pp. 633–643, DOI: 10.1016/S1251-8050(01)01688-3.
  11. Jarihani A. A., Callow J. N., Johansen K., Gouweleeuw B., Evaluation of multiple satellite altimetry data for studying inland water bodies and river floods, J. Hydrology, 2013, Vol. 505, pp. 78–90, DOI: 10.1016/j.jhydrol.2013.09.010.
  12. Lebedev S. A., Troitskaya Y. I., Rybushkina G. V., Dobrovolsky M. N., Satellite altimetry of large lakes of the Baltic Basin, Proc. 2014 IEEE/OES Baltic Intern. Symp. (BALTIC), 2014, pp. 1–5, DOI: 10.1109/BALTIC.2014.6887880.
  13. Molina J. L., Rodríguez-Gonzálvez P., Molina M. C. et al., Geomatic methods at the service of water resource smodelling. J. Hydrology, 2014, Vol. 509, pp. 105–162, DOI: 10.1016/j.jhydrol.2013.11.034.
  14. Satellite altimetry Earth sciences: A handbook of techniques and applications, Lee-Lueng Fu, Cazenav A. (eds.), San Diego; San Francisco; New York; Boston; London; Sydney; Tokyo: Academic Press, 2001. 477 p.
  15. Schwatke C., Dettmering D., Bosch W., Seitz F., DAHITI — An innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry, Hydrology and Earth System Sciences, 2015, Vol. 19(10), pp. 4345–4364, DOI: 10.5194/hess-19-4345-2015.
  16. Williamson C. E., Saros J. E., Vincent W. F., Smol J. P., Lakes and reservoirs as sentinels, integrators, and regulators of climate change, Limnology and Oceanography, 2009, Vol. 54(6), Pt. 2, pp. 2273–2282, DOI: 10.4319/lo.2009.54.6_part_2.2273.