Skip to main content

The Use of Remote Ground Sensing Data for Assessment of Environmental and Crop Condition of the Reclaimed Land

  • Conference paper
  • First Online:
Automation 2017 (ICA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 550))

Included in the following conference series:

Abstract

To solve the problems of environmental and crop monitoring, a Landsat remote sensing system is proposed, endowed with high spatial resolution of satellite images and the presence of spectral channels capturing the spectral characteristics of the studied objects in the visible and infrared spectra.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Hulin, I.A., Kretov, L.T., Podkolzin, O.A., Ivannikov, D.I., Sivokon, Y.V., Chekin, V.V.: Possibilities of use of mobile navigation and geodetic systems for remote monitoring of the Earth. Modern Problems of Science and Education 6, 1680 (2014)

    Google Scholar 

  2. Korobiichuk, I., Lysenko, V., Reshetiuk, V., Lendiel, T., Kamiński, M.: Energy-efficient electrotechnical complex of greenhouses with regard to quality of vegetable production. In: Szewczyk, R., Kaliczyńska, M. (eds.) SCIT 2016. AISC, vol. 543, pp. 243–251. Springer, Heidelberg (2017). doi:10.1007/978-3-319-48923-0_30

    Chapter  Google Scholar 

  3. Ivannikov, D.I., Chekin, V.V., Melnik, M.S., Fedoseeva, E.V., Sivokon, Y.V.: Monitoring of agricultural land with the use of remote technologies. Herald Agribusiness Stavropol 4(16), 146–149 (2014)

    Google Scholar 

  4. Szałatkiewicz, J., Szewczyk, R., Budny, E., Missala, T., Winiarski, W.: Measurement and control system of the plasmatron plasma reactor for recovery of metals from printed circuit board waste. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds.) Recent Advances in Automation, Robotics and Measuring Techniques. AISC, vol. 267, pp. 687–695. Springer, Heidelberg (2014). doi:10.1007/978-3-319-05353-0_65

    Chapter  Google Scholar 

  5. Korobiichuk, I., Ladanyuk, A., Shumyhai, D., Boyko, R., Reshetiuk, V., Kamiński, M.: How to increase efficiency of automatic control of complex plants by development and implementation of coordination control system. In: Szewczyk, R., Kaliczyńska, M. (eds.) SCIT 2016. AISC, vol. 543, pp. 189–195. Springer, Heidelberg (2017). doi:10.1007/978-3-319-48923-0_23

    Chapter  Google Scholar 

  6. Korobiichuk, I., Bezvesilna, O., Kachniarz, M., Tkachuk, A., Chilchenko, T.: Two-channel MEMS gravimeter of the automated aircraft gravimetric system. In: Szewczyk, R., Kaliczyńska, M. (eds.) SCIT 2016. AISC, vol. 543, pp. 481–487. Springer, Heidelberg (2017). doi:10.1007/978-3-319-48923-0_51

    Chapter  Google Scholar 

  7. Interim Report IR-00-064 Global Agro-Ecological Zones Assessment: Methodology and Results International Institute for Applied Systems Analysis Schlossplatz 1, A-2361 Laxenburg, Austria (2000)

    Google Scholar 

  8. Korobiichuk, I., Podchashinskiy, Y., Shapovalova, O., Shadura, V., Nowicki, M., Szewczyk, R.: Precision increase in automated digital image measurement systems of geometric values. In: Jabłoński, R., Brezina, T. (eds.) Advanced Mechatronics Solutions. AISC, vol. 393, pp. 335–340. Springer, Heidelberg (2016). doi:10.1007/978-3-319-23923-1_51

    Chapter  Google Scholar 

  9. Korobiichuk, I., Bezvesilna, O., Tkachuk, A., Chilchenko, T., Nowicki, M., Szewczyk, R.: Design of piezoelectric gravimeter for automated aviation gravimetric system. J. Autom. Mob. Robotics Intell. Syst. (JAMRIS) 10(1), 43–47 (2016)

    Google Scholar 

  10. Korobiichuk, I., Bezvesilna, O., Tkachuk, A., Nowicki, M., Szewczyk, R.: Piezoelectric gravimeter of the aviation gravimetric system. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds.) Challenges in Automation, Robotics and Measurement Techniques. AISC, vol. 440, pp. 753–761. Springer, Heidelberg (2016). doi:10.1007/978-3-319-29357-8_65

    Chapter  Google Scholar 

  11. Korobiichuk, I.: Mathematical model of precision sensor for an automatic weapons stabilizer system. Measurement 89, 151–158 (2016)

    Article  Google Scholar 

  12. Landsat science. http://landsat.gsfc.nasa.gov/

  13. USGS Global Visualization Viewer. http://glovis.usgs.gov/

  14. Povkh, V.I., Shliakhova, L.A.: Ability to use the remote ground sensing data to assess the condition of foreign and water reclamation. Modern problems of remote ground sensing from space: physical fundamentals, methods and technologies of monitoring the environment, potentially hazardous phenomena and objects. A collection of scientific articles, vol. II, no. 5, pp. 331–334. Azbuka-2000 LLC, Moscow (2008)

    Google Scholar 

  15. Shumakov, F.T., Tolstokhatko, V.A., Malets, A.Y.: Space picture classification using the cluster analysis methods. Eastern-Eur. J. Enterp. Technol. 3(51), 58–62 (2011). No. 4

    Google Scholar 

  16. Quinn, J.W.: Band Combinations. http://web.pdx.edu/~emch/ip1/bandcombinations.html

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Igor Korobiichuk .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Korobiichuk, I., Kuzmych, L., Kvasnikov, V., Nowak, P. (2017). The Use of Remote Ground Sensing Data for Assessment of Environmental and Crop Condition of the Reclaimed Land. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2017. ICA 2017. Advances in Intelligent Systems and Computing, vol 550. Springer, Cham. https://doi.org/10.1007/978-3-319-54042-9_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-54042-9_39

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54041-2

  • Online ISBN: 978-3-319-54042-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics