MASOFADAN ZONDLASH MA’LUMOTLARI ASOSIDA ZANGIOTA TUMANI HUDUDIDA QURILISH DINAMIKASINING TAHLILI (2020–2024-YILLAR)
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Mazkur tadqiqotda 2020–2024-yillar oralig‘ida Zangiota tumani hududida qurilish jarayonlari masofadan zondlash ma’lumotlari
asosida tahlil qilindi. Landsat 8 va Landsat 9 sun’iy yo‘ldosh tasvirlari hamda Normalized Difference Built-up Index (NDBI)
qo‘llanildi. Natijada eng yirik yangi o‘zlashtirilgan hudud 0.239 km² ni tashkil etgani aniqlandi. Tadqiqot hududda urbanizatsiya
jarayonlari izchil davom etayotganini ko‘rsatdi.
1. Mirziyoyev, Sh. M. (2023, November 21). Yer resurslaridan samarali foydalanish bo‘yicha vazifalar belgilandi. O‘zbekiston Respublikasi Prezidenti rasmiy
veb-sayti. https://president.uz/oz/lists/view/6878
2. Mirziyoyev, Sh. M. (2023, October 27). Yer hisobi va kadastr xizmatlarini yaxshilash choralari belgilandi. O‘zbekiston Respublikasi Prezidenti rasmiy veb-
sayti. https://president.uz/oz/lists/view/6801
3. O‘zbekiston Respublikasi Prezidentining Farmoni. (2023). “O‘zbekiston - 2030” strategiyasi to‘g‘risida (PF-158-son, 11.09.2023). https://lex.uz/docs/-
6600413
4. O‘zbekiston Respublikasi Prezidentining Qarori. (2025). O‘zbekiston Respublikasi Urbanizatsiya va uy-joy bozorini barqaror rivojlantirish milliy qo‘mitasi
faoliyatini tashkil etish chora-tadbirlari to‘g‘risida (PQ-347-son, 19.11.2025). https://lex.uz/uz/docs/-7850383
5. United Nations Statistics Division. (2025). SDG indicator metadata: Indicator 11.3.1. Ratio of land consumption rate to population growth rate.
https://unstats.un.org/sdgs/metadata/files/Metadata-11-03-01.pdf
6. UN-Habitat. (2024). World Cities Report 2024: Cities and Climate Action. United Nations Human Settlements Programme. https://unhabitat.org/wcr/
7. U.S. Geological Survey. (2024). Landsat 8–9 Collection 2 Level-2 Science Product Guide. https://www.usgs.gov/media/files/landsat-8-9-collection-2-level-2-
science-product-guide
8. U.S. Geological Survey. (2022). Landsat Collection 2 Level-2 Science Products. https://www.usgs.gov/landsat-missions/landsat-collection-2-level-2-science-
products
9. Zha, Y., Gao, J., & Ni, S. (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal
of Remote Sensing, 24(3), 583–594. https://doi.org/10.1080/01431160304987
10. Arif, N., Suprayogi, A., & Wijaya, A. P. (2024). Monitoring and predicting development of built-up area using Landsat satellite imagery and NDBI. Heliyon,
10, e28735. https://doi.org/10.1016/j.heliyon.2024.e28735
11. Long, N. B., Hoa, P. V., & Tuan, N. A. (2025). Application of GIS and Google Earth Engine to assess built-up area changes using Landsat imagery.
Indonesian Journal of Geography. https://ijg.e-geoinfo.com/index.php/journal/article/view/4599
12. Khamidov, M., Khamidov, A., & Ishchanov, J. (2023). Remote sensing for land use monitoring in the suburban areas of Tashkent, Uzbekistan. E3S Web of
Conferences. https://doi.org/10.1051/e3sconf/202338602005
13. Saipova, B., et al. (2021). Using geospatial technologies to detect and monitor land use changes in Zangiota district. E3S Web of Conferences.
https://staff.tiiame.uz/storage/users/952/articles/d6xIL0juD86FpAV1zA3sYzUDEBqua-0ZYmkbW4rgE.pdf
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