Altynbek Khamit
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Altynbek Khamit has a total of 15 co-authors. Here are the top co-authors by number of shared publications:
- Aigul Sergeyeva
L.N. Gumilyov Eurasian National University
4 shared publications - Akzhunus Abdullina
Department of Geography and Tourism, K. Zhubanov Aktobe Regional University, Aktobe, Kazakhstan
2 shared publications - Murat Makhambetov
K. Zhubanov Aktobe Regional University NLC
2 shared publications - Aleksey Sayanov
ΠΠΎΡΠΊΠΎΠ²ΡΠΊΠΈΠΉ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΡΠΉ ΡΠ½ΠΈΠ²Π΅ΡΡΠΈΡΠ΅Ρ ΠΈΠΌΠ΅Π½ΠΈ Π.Π. ΠΠΎΠΌΠΎΠ½ΠΎΡΠΎΠ²Π°
1 shared publication - Alexander Ivanovich Danshin
Department of Economic and Social Geography, Lomonosov Moscow State University, Moscow 119991, Russia
1 shared publication - Asima Koshim
Faculty of Geography and Environmental Sciences, Farabi University, 71 Al-Farabi Avenue, Almaty 050040, Kazakhstan
1 shared publication
Latest Publications
- Open Access
Assessment of the Spatial Structure and Condition of Urban Green Infrastructure in Aktau (Kazakhstan) Under Arid Climate Conditions Using NDVI and SAVI
Urban green infrastructure plays a crucial role in enhancing environmental resilience in cities, particularly in arid regions characterized by water scarcity, soil salinity, and high climatic stress. However, arid coastal cities remain insufficiently studied with regard to spatially explicit assessments of the structure and dynamics of green infrastructure. This study evaluates the state and spatial organization of urban green infrastructure in Aktau, Kazakhstan, over the period 2015β2025, with the most recent satellite observations obtained in June 2025. Sentinel-2 satellite imagery was used to calculate seasonal Normalized Difference Vegetation Index (NDVI) and Soil-Adjusted Vegetation Index (SAVI) values, and zonal statistics were applied to assess intra-urban differentiation across functional zones. In addition, inventory-based indicatorsβGreen Planting Density (GPD), Structural Composition of Greenery (SCG), and Protective Green Infrastructure (PGI)βwere integrated to complement the remote sensing analysis. The results indicate a moderate overall increase in mean NDVI values (from 0.21 to 0.28), with the most significant growth observed in central and coastal areas (ΞNDVI = +0.12; ΞSAVI = +0.21), while industrial and newly developed zones exhibit only limited changes. Despite these localized improvements, the spatial configuration of green infrastructure remains fragmented, reflecting a persistent centerβperiphery asymmetry in urban greening. These results underline the importance of irrigation practices and spatially targeted greening strategies for improving vegetation conditions in arid urban environments. The proposed integrated approach combining satellite-derived vegetation indices and inventory-based indicators can serve as a useful tool for monitoring urban green infrastructure and supporting evidence-based planning in arid coastal cities.
Open AccessAssessment of the Spatial Structure and Condition of Urban Green Infrastructure in Aktau (Kazakhstan) Under Arid Climate Conditions Using NDVI and SAVI
Urban green infrastructure plays a crucial role in enhancing environmental resilience in cities, particularly in arid regions characterized by water scarcity, soil salinity, and high climatic stress. However, arid coastal cities remain insufficiently studied with regard to spatially explicit assessments of the structure and dynamics of green infrastructure. This study evaluates the state and spatial organization of urban green infrastructure in Aktau, Kazakhstan, over the period 2015β2025, with the most recent satellite observations obtained in June 2025. Sentinel-2 satellite imagery was used to calculate seasonal Normalized Difference Vegetation Index (NDVI) and Soil-Adjusted Vegetation Index (SAVI) values, and zonal statistics were applied to assess intra-urban differentiation across functional zones. In addition, inventory-based indicatorsβGreen Planting Density (GPD), Structural Composition of Greenery (SCG), and Protective Green Infrastructure (PGI)βwere integrated to complement the remote sensing analysis. The results indicate a moderate overall increase in mean NDVI values (from 0.21 to 0.28), with the most significant growth observed in central and coastal areas (ΞNDVI = +0.12; ΞSAVI = +0.21), while industrial and newly developed zones exhibit only limited changes. Despite these localized improvements, the spatial configuration of green infrastructure remains fragmented, reflecting a persistent centerβperiphery asymmetry in urban greening. These results underline the importance of irrigation practices and spatially targeted greening strategies for improving vegetation conditions in arid urban environments. The proposed integrated approach combining satellite-derived vegetation indices and inventory-based indicators can serve as a useful tool for monitoring urban green infrastructure and supporting evidence-based planning in arid coastal cities.
- Open Access
- 17 April 2024
- Published byΒ MDPI AGΒ inΒ Urban Science
- Vol.Β 8 Β (2) , 34
Assessment of the State of the Landscaping System in the City of Aktobe, the Republic of Kazakhstan, under Conditions of Man-Made Load Using Remote Sensing
The growth of a city causes a complex of problems related to the increase in the pollution of the urban environment and the shortcomings in its improvement. The territory of the modern city is characterized by the highest man-made loads on the natural environment. The main problems are the low level of green areas, as well as the reduction in trees in many areas, which does not allow the city residents to live comfortably. Currently, Earth remote sensing methods using the vegetation index (NDVI) are one of the dominant means of assessing the condition. In this regard, the purpose of this study is to assess the ecological condition of the green zone in the city of Aktobe. To solve this problem, complex assessment was carried out, including statistical data analysis and the processing of satellite images by calculation of the NDVI for green areas and their mapping. The article analysis lies in the field of development and landscaping of the urban environment of Aktobe. A description of the current state of the system of green areas in the city was provided. On the basis of the data of remote sensing of the earth, the spatial features of the separate classes of the total phytomass of green plants within the city of Aktobe and the spatial features of the territorial zones of the city were determined during the differentiation of green plantings. A study of the dynamics of changes in the vegetation cover index (NDVI) during 2010, 2016, and 2023 allowed us to identify trends in the development of green spaces and their changes over time due to city growth and other factors. The data obtained as a result of the research can be used in the justification of urban planning decisions, landscape planning of the ecological infrastructure of the city, and optimization of landscaping systems.
- 17 April 2024
- Published byΒ MDPI AGΒ inΒ Urban Science
- Vol.Β 8 Β (2) , 34
Open AccessAssessment of the State of the Landscaping System in the City of Aktobe, the Republic of Kazakhstan, under Conditions of Man-Made Load Using Remote Sensing
The growth of a city causes a complex of problems related to the increase in the pollution of the urban environment and the shortcomings in its improvement. The territory of the modern city is characterized by the highest man-made loads on the natural environment. The main problems are the low level of green areas, as well as the reduction in trees in many areas, which does not allow the city residents to live comfortably. Currently, Earth remote sensing methods using the vegetation index (NDVI) are one of the dominant means of assessing the condition. In this regard, the purpose of this study is to assess the ecological condition of the green zone in the city of Aktobe. To solve this problem, complex assessment was carried out, including statistical data analysis and the processing of satellite images by calculation of the NDVI for green areas and their mapping. The article analysis lies in the field of development and landscaping of the urban environment of Aktobe. A description of the current state of the system of green areas in the city was provided. On the basis of the data of remote sensing of the earth, the spatial features of the separate classes of the total phytomass of green plants within the city of Aktobe and the spatial features of the territorial zones of the city were determined during the differentiation of green plantings. A study of the dynamics of changes in the vegetation cover index (NDVI) during 2010, 2016, and 2023 allowed us to identify trends in the development of green spaces and their changes over time due to city growth and other factors. The data obtained as a result of the research can be used in the justification of urban planning decisions, landscape planning of the ecological infrastructure of the city, and optimization of landscaping systems.
- Open Access
- 1 March 2023
- Published byΒ al-Farabi Kazakh National UniversityΒ inΒ Journal of Geography and Environmental Management
- Vol.Β 68 Β (1)
FACTORS DETERMINING THE DIFFERENTIATION OF HOUSING PRICES IN AKTOBE
Π‘ΡΡΠ΅ΡΡΠ²ΡΠ΅Ρ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΎ ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΠΈΡ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΡ ΡΠ΅Π½ Π½Π° ΠΆΠΈΠ»ΡΠ΅ Π² Π³ΠΎΡΠΎΠ΄Π΅ ΠΠΊΡΠΎΠ±Π΅. ΠΡΠΎ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΆΠΈΠ»ΡΡ, ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΠΊΠ²Π°ΡΡΠΈΡ, ΡΠ°ΡΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅, Π±Π»ΠΈΠ·ΠΎΡΡΡ ΠΊ ΡΠ΅Π½ΡΡΡ, ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅, ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½Π°Ρ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΡ ΠΈ Ρ.Π΄. ΠΠ»Π°Π³ΠΎΠ΄Π°ΡΡ ΡΠ²ΠΎΠ΅ΠΉ Π²ΠΎΡΡΡΠ΅Π±ΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ ΠΈ Π²ΡΡΠΎΠΊΠΎΠΉ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π³ΠΎΡΠΎΠ΄ Π² ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π³ΠΎΠ΄Ρ ΠΎΠΏΠ΅ΡΠ΅ΠΆΠ°Π΅Ρ ΡΡΠ΅Π΄Π½Π΅ΠΊΠ°Π·Π°Ρ ΡΡΠ°Π½ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΏΠΎ ΡΠ΅ΠΌΠΏΠ°ΠΌ ΡΠΎΡΡΠ° ΡΠ΅Π½ Π½Π° ΠΆΠΈΠ»ΡΠ΅. ΠΠ΄Π½ΠΈΠΌ ΠΈΠ· Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ½ΠΎ ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΠΈΡ ΡΡ ΡΡΠ½ΠΊΠΎΠ² ΠΆΠΈΠ»ΡΡ Π² ΠΠ°Π·Π°Ρ ΡΡΠ°Π½Π΅ ΡΠ²Π»ΡΠ΅ΡΡΡ Π³ΠΎΡΠΎΠ΄ ΠΠΊΡΠΎΠ±Π΅. Π Π°Π·Π²ΠΈΡΠΈΠ΅ ΡΡΠ½ΠΊΠ° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ, ΡΠ΅ΠΌ ΡΠ°ΠΌΡΠΌ ΡΠΎΠ·Π΄Π°Π²Π°Ρ Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΠΉ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΠΉ ΠΊΠ»ΠΈΠΌΠ°Ρ Π΄Π»Ρ ΠΈΠ½Π²Π΅ΡΡΠΎΡΠΎΠ². ΠΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΡΠΎΠ²Π½Ρ Π΄ΠΎΡ ΠΎΠ΄ΠΎΠ² ΠΆΠΈΡΠ΅Π»Π΅ΠΉ ΠΌΠΎΠΆΠ΅Ρ ΡΠ²Π΅Π»ΠΈΡΠΈΡΡ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΡ ΠΆΠΈΠ»ΡΡ Π² Π³ΠΎΡΠΎΠ΄Π΅ Π·Π° ΡΡΠ΅Ρ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠ² ΡΠΈΡΠΊΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ. ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΡΡΠ°ΡΡΠΈ ΡΠ²ΡΠ·Π°Π½Π° Ρ Π½Π΅ΠΎΠ±Ρ ΠΎΠ΄ΠΈΠΌΠΎΡΡΡΡ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΉ ΠΈ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ² ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ½ΠΊΠ° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ Π³ΠΎΡΠΎΠ΄Π° ΠΠΊΡΠΎΠ±Π΅, ΡΠ°ΠΊ ΠΊΠ°ΠΊ ΠΈΠΌΠ΅Π΅Ρ Π±ΠΎΠ»ΡΡΠΎΠ΅ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ Π΄Π»Ρ ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΎΠ² ΡΡΠ½ΠΊΠ°. Π¦Π΅Π»ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ Π°Π½Π°Π»ΠΈΠ· Π²Π»ΠΈΡΡΡΠΈΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΈ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ½ΠΊΠ° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ Π² Π³ΠΎΡΠΎΠ΄Π΅ ΠΠΊΡΠΎΠ±Π΅. Π‘ΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΡΠ½ΠΊΠ° ΠΆΠΈΠ»ΠΎΠΉ Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ. ΠΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Π½ΡΠΌΠΈ Π² ΡΡΠ°ΡΡΠ΅, ΡΠ²Π»ΡΡΡΡΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½ΡΡ , ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΈ Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠ΄Ρ ΠΎΠ΄Ρ. Π Π·Π°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΎ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΡΡΡΠ΅ΡΡΠ²ΡΠ΅Ρ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²ΠΎ ΡΠ°Π·Π»ΠΈΡΠΈΠΉ Π² ΠΈΠ½Π΄Π΅ΠΊΡΠ΅ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΠΈ ΠΆΠΈΠ»ΡΡ ΠΈ Π² ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ½ΠΊΠ° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ Π² ΡΡ ΠΎΠΆΠΈΡ Π³Π΅ΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ ΡΡΠ»ΠΎΠ²ΠΈΡΡ Π³ΠΎΡΠΎΠ΄Π° ΠΠΊΡΠΎΠ±Π΅.
- 1 March 2023
- Published byΒ al-Farabi Kazakh National UniversityΒ inΒ Journal of Geography and Environmental Management
- Vol.Β 68 Β (1)
Open AccessFACTORS DETERMINING THE DIFFERENTIATION OF HOUSING PRICES IN AKTOBE
Π‘ΡΡΠ΅ΡΡΠ²ΡΠ΅Ρ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΎ ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΠΈΡ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΡ ΡΠ΅Π½ Π½Π° ΠΆΠΈΠ»ΡΠ΅ Π² Π³ΠΎΡΠΎΠ΄Π΅ ΠΠΊΡΠΎΠ±Π΅. ΠΡΠΎ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΠΆΠΈΠ»ΡΡ, ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΠΊΠ²Π°ΡΡΠΈΡ, ΡΠ°ΡΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΠ΅, Π±Π»ΠΈΠ·ΠΎΡΡΡ ΠΊ ΡΠ΅Π½ΡΡΡ, ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅, ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½Π°Ρ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΡ ΠΈ Ρ.Π΄. ΠΠ»Π°Π³ΠΎΠ΄Π°ΡΡ ΡΠ²ΠΎΠ΅ΠΉ Π²ΠΎΡΡΡΠ΅Π±ΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ ΠΈ Π²ΡΡΠΎΠΊΠΎΠΉ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ Π³ΠΎΡΠΎΠ΄ Π² ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π³ΠΎΠ΄Ρ ΠΎΠΏΠ΅ΡΠ΅ΠΆΠ°Π΅Ρ ΡΡΠ΅Π΄Π½Π΅ΠΊΠ°Π·Π°Ρ ΡΡΠ°Π½ΡΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΏΠΎ ΡΠ΅ΠΌΠΏΠ°ΠΌ ΡΠΎΡΡΠ° ΡΠ΅Π½ Π½Π° ΠΆΠΈΠ»ΡΠ΅. ΠΠ΄Π½ΠΈΠΌ ΠΈΠ· Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ½ΠΎ ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΠΈΡ ΡΡ ΡΡΠ½ΠΊΠΎΠ² ΠΆΠΈΠ»ΡΡ Π² ΠΠ°Π·Π°Ρ ΡΡΠ°Π½Π΅ ΡΠ²Π»ΡΠ΅ΡΡΡ Π³ΠΎΡΠΎΠ΄ ΠΠΊΡΠΎΠ±Π΅. Π Π°Π·Π²ΠΈΡΠΈΠ΅ ΡΡΠ½ΠΊΠ° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ, ΡΠ΅ΠΌ ΡΠ°ΠΌΡΠΌ ΡΠΎΠ·Π΄Π°Π²Π°Ρ Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΠΉ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΠΉ ΠΊΠ»ΠΈΠΌΠ°Ρ Π΄Π»Ρ ΠΈΠ½Π²Π΅ΡΡΠΎΡΠΎΠ². ΠΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΡΡΠΎΠ²Π½Ρ Π΄ΠΎΡ ΠΎΠ΄ΠΎΠ² ΠΆΠΈΡΠ΅Π»Π΅ΠΉ ΠΌΠΎΠΆΠ΅Ρ ΡΠ²Π΅Π»ΠΈΡΠΈΡΡ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΡ ΠΆΠΈΠ»ΡΡ Π² Π³ΠΎΡΠΎΠ΄Π΅ Π·Π° ΡΡΠ΅Ρ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠ² ΡΠΈΡΠΊΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΠΎΠ»ΠΈΡΠΈΠΊΠΈ. ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΡΡΠ°ΡΡΠΈ ΡΠ²ΡΠ·Π°Π½Π° Ρ Π½Π΅ΠΎΠ±Ρ ΠΎΠ΄ΠΈΠΌΠΎΡΡΡΡ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΉ ΠΈ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ² ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ½ΠΊΠ° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ Π³ΠΎΡΠΎΠ΄Π° ΠΠΊΡΠΎΠ±Π΅, ΡΠ°ΠΊ ΠΊΠ°ΠΊ ΠΈΠΌΠ΅Π΅Ρ Π±ΠΎΠ»ΡΡΠΎΠ΅ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ Π΄Π»Ρ ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΎΠ² ΡΡΠ½ΠΊΠ°. Π¦Π΅Π»ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ Π°Π½Π°Π»ΠΈΠ· Π²Π»ΠΈΡΡΡΠΈΡ ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΠΈ ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ½ΠΊΠ° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ Π² Π³ΠΎΡΠΎΠ΄Π΅ ΠΠΊΡΠΎΠ±Π΅. Π‘ΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΡΠ½ΠΊΠ° ΠΆΠΈΠ»ΠΎΠΉ Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ. ΠΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Π½ΡΠΌΠΈ Π² ΡΡΠ°ΡΡΠ΅, ΡΠ²Π»ΡΡΡΡΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· Π΄Π°Π½Π½ΡΡ , ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΈ Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΠ΄Ρ ΠΎΠ΄Ρ. Π Π·Π°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΎ ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΡΡΡΠ΅ΡΡΠ²ΡΠ΅Ρ ΠΌΠ½ΠΎΠΆΠ΅ΡΡΠ²ΠΎ ΡΠ°Π·Π»ΠΈΡΠΈΠΉ Π² ΠΈΠ½Π΄Π΅ΠΊΡΠ΅ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΠΈ ΠΆΠΈΠ»ΡΡ ΠΈ Π² ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ½ΠΊΠ° Π½Π΅Π΄Π²ΠΈΠΆΠΈΠΌΠΎΡΡΠΈ Π² ΡΡ ΠΎΠΆΠΈΡ Π³Π΅ΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ ΡΡΠ»ΠΎΠ²ΠΈΡΡ Π³ΠΎΡΠΎΠ΄Π° ΠΠΊΡΠΎΠ±Π΅.
- 1 January 2023
- Published byΒ Korkyt Ata Kyzylorda UniversityΒ inΒ Bulletin of the Korkyt Ata Kyzylorda University
- Vol.Β 66 Β (3-2) , 51-59
ASSESSMENT OF THE IMPACT OF GRAZING LOAD ON PASTURES OF ATYRAU REGION
- 1 January 2023
- Published byΒ Korkyt Ata Kyzylorda UniversityΒ inΒ Bulletin of the Korkyt Ata Kyzylorda University
- Vol.Β 66 Β (3-2) , 51-59
ASSESSMENT OF THE IMPACT OF GRAZING LOAD ON PASTURES OF ATYRAU REGION
- 31 December 2021
- Published byΒ Babes-Bolyai University Cluj-NapocaΒ inΒ Journal of Settlements and Spatial Planning
- Vol.Β 12 Β (2) , 83-92
Ecological State Assessment of Urban Green Spaces Based on Remote Sensing Data. The Case of Aktobe City, Kazakhstan
- 31 December 2021
- Published byΒ Babes-Bolyai University Cluj-NapocaΒ inΒ Journal of Settlements and Spatial Planning
- Vol.Β 12 Β (2) , 83-92
Ecological State Assessment of Urban Green Spaces Based on Remote Sensing Data. The Case of Aktobe City, Kazakhstan