The technology of identification, interpretation and mapping of degraded lands based on remote sensing data

Authors

  • Aleksey V. Alsheuski Rostelecom, 46 Arbat Street, Moscow 119002, Russia
  • Igor P. Samsonenka Project Institute «Belgiprosem», 68 Kazinca Street, 3 building, Minsk 220108, Belarus
  • Valentin M. Yatsukhna Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus

Keywords:

land degradation, geoinformation systems, remote sensing data

Abstract

Described experimental sample of the technology of identification, interpretation and mapping of degraded land, created in the framework of the Union State program «Monitoring-SG». The experimental sample is based on the use of GIS models of automatization of remote sensing data (RSD) processing, created on the basis of an open geoinformation software QGIS. Developed GIS models are used together to implement an automated pre-processing, satellite images classification, accuracy assessment of the classification and vectorization and mapping of the received results of thematic interpretation. The proposed technology allows to create digital land degradation maps, provides a cost savings and simplification of remote sensing data processing. The database of degraded lands and the electronic atlas of land degradation forms of the Republic of Belarus are created, access to which is realized through a dedicated geoportal (web-service).
The research results could be applied for combat land degradation at national level, but also at the solution of tasks of creating and updating of cartographic products, development of thematic geographic information systems and land use planning documents.

Author Biographies

  • Aleksey V. Alsheuski, Rostelecom, 46 Arbat Street, Moscow 119002, Russia

    PhD (geography); technical director of GeoData product office

  • Igor P. Samsonenka, Project Institute «Belgiprosem», 68 Kazinca Street, 3 building, Minsk 220108, Belarus

    PhD (geography); leading researcher at the research department

  • Valentin M. Yatsukhna, Belarusian State University, 4 Niezaliežnasci Avenue, Minsk 220030, Belarus

    PhD (agricultural sciences), docent; leading researcher at the landscape ecology laboratory, faculty of
    geography

References

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  2. [Strategy of Implementation of the UN Convention to Combat Desertification in Those Contries Experiencing Serious Drought and/or Desertification, Particulary in Africa. 2016–2020 National Action Plan for the Prevention of Land (and soil) Degradation]. Minsk: Minprirody; 2015. 56 p. Russian.
  3. [Develop an experimental model of technology for identifying, satellite image interpretation and mapping the dynamics of degradation processes, degraded lands based on modern satellite data: a scientific and technical report on research (final)]. Yatsukhno VM, scientific supervisor; Olshevsky AV, responsible performer. Minsk: Belarusian State University; 2015. 115 p. No. SR 20141420. Russian.
  4. Olshevsky A. [Model of the automated classification of multispectral satellite images]. Zemlya Belarusi. 2013;1:36 –39. Russian.
  5. Olshevsky A. [The technology of presenting and editing of cartographical materials of land management schemas in the Internet]. Zemlya Belarusi. 2011;4:39 – 45. Russian.
  6. Giri CP, editor. Remote Sensing of Land Use and Land Cover: Principles and Applications. New York: CRC Press; 2012. 477 p.

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Published

2019-01-19

Issue

No. 2 (2018): Journal of the Belarusian State University. Geography and Geology

Section

Geography

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How to Cite

[1]
Alsheuski, A.V. et al. 2019. The technology of identification, interpretation and mapping of degraded lands based on remote sensing data. Journal of the Belarusian State University. Geography and Geology. 2 (Jan. 2019), 50–58.