Determination of the Degradation Degree of Pasture Lands in the West Kazakhstan Region Based on Monitoring Using Geoinformation Technologies

• Autorzy: Yesmagulova Bayan Zhumabaevna , Assetova Assem Yurievna , Tassanova Zhadyra Baizhanovna , Zhildikbaeva Aizhan Naskenovna , Molzhigitova Dinara Kumarbekovna

Identyfikatory

DOI

10.12911/22998993/155167

• Języki publikacji: EN

Abstrakty

EN

Land degradation, including pasture lands is one of the global problems. Currently, one of the most urgent problems of the West Kazakhstan region is the preservation and restoration of the vegetation cover of pasture lands. To date, large areas of the region have been occupied by agricultural land. Several main reasons negatively affect agriculture, one of which is land degradation associated with anthropogenic impact in terms of the irrationality of land use. Thus, to preserve the biodiversity of the pastures of the West Kazakhstan region, it is necessary to fully study the projective cover of the vegetation, determine the dominant plant species, and also monitor the condition of pastures to prevent land degradation on time by conducting land and forest improvement activities. The study aimed to carry out a phyto-ecological assessment of degraded pastures of the Karatobinsky district of the West Kazakhstan region using geoinformation technologies and field study results. The paper presents the results of desktop decoding of high-resolution satellite images and ecological profiling of the studied territories. Decoding features of landscape types allowed making a preliminary map of landscape contours. The use of this technique makes it possible to monitor the condition of degraded pasture lands in a short time and justify the organization of pastures with a regulated grazing system in the study area.

Słowa kluczowe

EN

monitoring; pasture; decoding; satellite image; degradation; profile; sand; vegetation

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2023
• Tom: Vol. 24, nr 1
• Strony: 179--187
• Opis fizyczny: Bibliogr. 24 poz., rys., tab.

Twórcy

autor

Yesmagulova Bayan Zhumabaevna

• Higher School of Management of Forest, Land, and Water Resources, West Kazakhstan Agrarian and Technical University named after Zhangir Khan, 51 Zhangir Khan Str., 090009, Uralsk, Kazakhstan

autor

Assetova Assem Yurievna

• Higher School of Management of Forest, Land, and Water Resources, West Kazakhstan Agrarian and Technical University named after Zhangir Khan, 51 Zhangir Khan Str., 090009, Uralsk, Kazakhstan

• https://orcid.org/0000-0003-4725-9565

autor

Tassanova Zhadyra Baizhanovna

• Higher School of Management of Forest, Land, and Water Resources, West Kazakhstan Agrarian and Technical University named after Zhangir Khan, 51 Zhangir Khan Str., 090009, Uralsk, Kazakhstan

autor

Zhildikbaeva Aizhan Naskenovna

• Department of Land Resources and Cadastre, Kazakh National Agrarian Research University, 8 Abai Ave., 050010, Almaty, Kazakhstan

autor

Molzhigitova Dinara Kumarbekovna

• Department of Geography, Land Management, and Cadastre, Al-Farabi Kazakh National University, 71 Al-Farabi Ave., 050040, Almaty, Kazakhstan

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).