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, 2020, Vol. 17, No. 5, pp. 91-100

The application of optical and radar data fusion in space monitoring of water objects

O.P. Arkhipkin 1 , G.N. Sagatdinova 1 
1 National centre for space research and technology, Almaty, Kazakhstan
Accepted: 07.10.2020
DOI: 10.21046/2070-7401-2020-17-5-91-100
The paper describes the possibilities of using fusion (synthesis) of optical and radar medium-resolution space images for the formation and analysis of water surfaces. Flooding zones along river beds and water surface of reservoirs are considered water objects. The formation of fusion images using radar and optical data allows increasing the information content of space monitoring of water objects and the quality of the obtained results. Methods for the formation of fusion images of optical and radar data both at the object level and at the point level are presented. In the first case, water surfaces are first separately formed from optical and radar data, and then their joint analysis is carried out. In the second case, first geometric binding of optical and radar data to each other is carried out, then methods of data fusion are selected, then synthesis of these data and analysis of fusion results are carried out. The methods of fusion of optical and radar data are illustrated by the example of the passage of flood waters in 2017 on the Ishim River in the area of the village of Gastello, Akmola Region, as well as the dynamics of filling in 2018 the Koksaray counter-regulator and the Chardarin reservoir located in the Turkestan region of Kazakhstan, and the Sergeyevsky reservoir of the North Kazakhstan Region.
Keywords: space monitoring, flood, water surfaces, flood zones, radar data, optical data, fusion
Full text

References:

  1. Arkhipkin O. P., Sagatdinova G. N., Ispol’zovanie razlichnykh opticheskikh i radarnykh dannykh distantsionnogo zondirovaniya pri operativnom kosmicheskom monitoringe pavodkov v Kazakhstane (The Use of Various Optical and Radar Remote Sensing Data in Operative Space Monitoring of Flood in Kazakhstan), Zhurnal Sibirskogo federal’nogo universiteta. Tekhnika i tekhnologiya, 2016, Vol. 9, No. 7, pp. 1045–1058.
  2. Arkhipkin O. P., Sagatdinova G. N., Ispol’zovanie polyarimetricheskikh radarnykh dannykh pri kosmicheskom monitoringe pavodkov i navodnenii (The use of polarimetric radar data for space monitoring of high waters and floods), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 2, pp. 175–184.
  3. Arkhipkin O. P., Sagatdinova G. N., Issledovanie vozmozhnostei sinteza opticheskikh i radarnykh dannykh pri kosmicheskom monitoringe pavodkov (Research of possibilities of synthesis of optical and radar data in flood space monitoring), Informatsionnye tekhnologii v distantsionnom zondirovanii Zemli – RORSE 2018, Proc., 2018, pp. 343–350, DOI: 10.21046/rorse2018.343.
  4. Zakharova L. N., Zakharov A. I., Sorochinskyi M. V., Ryabokon G. P., Leonov V. M., Joint analysis of the data of optical and radar sensors: potentialities, limitations, and prospects, J. Communications Technology and Electronics, 2011, Vol. 56, No. 1, pp. 1–13.
  5. Kopilov V. N., Polishchuk Yu. M., Khamedov V. A., Metodicheskie voprosy ispol’zovaniya kosmicheskikh snimkov dlya operativnoi otsenki posledstvii lesnykh pozharov (Methodological issues related to the use of space imagery for rapid assessment of forest fires), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2007, Vol. 4, No. 1, pp. 155–161.
  6. Rodionova N. V., Nablyudenie kol’tsevykh struktur na l’du ozera Baikal s pomoshch’yu sputnikov Sentinel-1 i Sentinel-2 vesnoi 2016–2018 gg. (Observation of ice rings on Lake Baikal using Sentinel-1, 2 images in spring 2016–2018), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 4, pp. 213–221, DOI: 10.21046/2070-7401-2019-16-4-213-221.
  7. Arkhipkin O. P., Sagatdinova G. N., Possibilities of the joint use of optical and radar data in flood space monitoring, Intern. Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives, 2018, Vol. 42, Ser. 3W4, pp. 67–73, DOI: 10.5194/isprs-archives-XLII-3-W4-67-2018.
  8. Chaouch N., Temimi M., Hagen S., Weishampel J., Medeiros S., Khanbilvardi R., A synergetic use of satellite imagery from SAR and optical sensors to improve coastal flood mapping in the Gulf of Mexico, Hydrological Processes, 2012, Vol. 26, pp. 1617–1628, DOI: https://doi.org/10.1002/hyp.8268.
  9. D’Addabbo A., Refice A., Pasquariello G., Lovergine F. P., Capolongo D., Manfreda S., A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data, IEEE Trans. Geoscience and Remote Sensing, 2016, Vol. 54, No. 6, pp. 3612–3625, DOI: 10.1109/TGRS.2016.2520487.
  10. Ghassemian H., A review of remote sensing image fusion methods, Information Fusion, Vol. 32, No. PA, pp. 75–89, 2016, DOI: https://doi.org/10.1016/j.inffus.2016.03.003.
  11. Hussain E., Shan J., Mapping major floods with optical and SAR satellite images, Purdue University, 2010, 4 p., available at: https://engineering.purdue.edu/~jshan/publications/2010/IGARSS_flood_formatted_Hussain_Shan.pdf.
  12. Joshi N. P., Baumann M., Ehammer A., Fensholt R., Grogan K., Hostert P., Jepsen M. R., Kuemmerle T., Meyfroidt P., Mitchard E. T., Reiche J., Ryan C. M., Waske B., A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring, Remote Sensing, 2016, Vol. 8, Art. No. 70, 23 p., DOI: https://doi.org/10.3390/rs8010070.
  13. Markert K. N., Chishtie F., Anderson E. R., Saah D., Griffin R. E., On the merging of optical and SAR satellite imagery for surface water mapping applications, Results in Physics, 2018, No. 9, pp. 275–277.
  14. Pohl C., van Genderen J. L., Multisensor image fusion in remote sensing: concepts, methods and applications, Intern. J. Remote Sensing, 1998, Vol. 19, No. 5, pp. 823–854, DOI: 10.1080/014311698215748.
  15. Pulvirenti L., Pierdicca N., Chini M., Guerriero L., An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic, Natural Hazards and Earth System Sciences, 2011, No. 11(2), pp. 529–540.
  16. Simone G., Farina A., Morabito F. C., Serpico S. B., Bruzzone L., Image fusion techniques for remote sensing applications, Information Fusion, 2002, Vol. 3, Issue 1, pp. 3–15, DOI: https://doi.org/10.1016/S1566-2535(01)00056-2.
  17. Tong X., Luo X., Xie H., Chao W., Liu S., Jiang Y., Makhinov A. N., Makhinova A. F., An approach for flood monitoring by the combined use of Landsat 8 optical imagery and COSMO-SkyMed radar imagery, ISPRS J. Photogrammetry and Remote Sensing, 2018, Vol. 136, pp. 144–153, DOI: https://doi.org/10.1016/j.isprsjprs.2017.11.006.