Urban land use change study in Ulaanbaatar city using RS and GIS
DOI:
https://doi.org/10.5564/jimdt.v5i1.3317Keywords:
Urban land use, RS image, Data fusion, Change studyAbstract
In recent years, Ulaanbaatar, the capital of Mongolia, has experienced very rapid urbanization. Different reasons are considered for urban expansion, however, the main cause is connected with a mass movement of rural people seeking for improved living conditions. The aim of this study is to analyse changes in urban land use in the central part of the capital city using remote sensing (RS) and geographic information system (GIS) datasets. For the development of the principal digital spatial database, a 1:5000 scale topographic map and a historical description of the elements of land use were used. To update the database and extract reliable urban land use information, very high-resolution panchromatic and multispectral Quickbird images of 2023 were fused. For fusion, three different data fusion techniques such as a Brovey transform, Gramme-Schmidt method and intensity-hue-saturation (IHS) transformation were compared in terms of the enhancement of spatial and spectral variations of the available classes. Of these methods, the IHS transformation gave a superior result in terms of both spectral and spatial separations between different objects and classes. Therefore, for this technique was selected for further analysis. Overall, the research showed that the central part of Ulaanbaatar city became very dense and precise planning should be considered.
Улаанбаатарын хотын газар ашиглалтын өөрчлөлтийг зайнаас тандах судлал ба ГМС ашиглан судалсан дүн
Сүүлийн жилүүдэд Монгол улсын нийслэл Улаанбаатарт хотжилт маш хурдацтай нэмэгдэж байна. Хотжилт тэлэх олон шалтгаан бий боловч гол шалтгаан нь амьдралын нөхцөлийг сайжруулахыг эрэлхийлж буй хөдөөгийн иргэдийн шилжилт хөдөлгөөнтэй холбоотой юм. Энэхүү судалгааны зорилго нь зайнаас тандах судлал (ЗТС) болон газарзүйн мэдээллийн систем (ГМС)-ийн өгөгдлийг ашиглан нийслэлийн төв хэсгийн газар ашиглалтын өөрчлөлтөд дүн шинжилгээ хийх юм. 1:5000 масштабтай байр зүйн зураг болон газар ашиглалтын элементүүдийн түүхэн өгөгдлүүдээр орон зайн мэдээллийн санг бүрдүүлэн судалгаанд ашигласан болно. Мэдээллийн санг шинэчилж хотын газрын ашиглалтын бодит мэдээллийг гарган авахын тулд Quickbird дагуулын 2023 оны хэт өндөр нарийвчлалтай панхроматик болон олон бүсчлэлийн зургуудыг нэгтгэн ашиглалаа. Дүрс мэдээг нэгтгэхдээ ангиудын орон зайн болон спектрийн тодролыг сайжруулах үүднээс Бровейн шилжүүлэлт, Грамм-Шмидтийн арга ба өнгө-эрчим-ханалт (IHS) хувиргалтын аргуудыг ашиглан үр дүнгүүдийг харьцуулсан. Эдгээр аргуудаас IHS-ийн хувиргалтын үр дүн нь өөр өөр объект болох ангиуд хоорондын спектрийн болон орон зайн хувьд хамгийн сайн ялгаж байсан тул цаашдын дүн шинжилгээнд сонгосон. Энэхүү судалгааны үр дүн нь Улаанбаатар хотын төв хэсэг хэт их нягтшилтай, нарийн төлөвлөлт хийх шаардлагатай байгааг харууллаа.
Түлхүүр үгс: Хотын газар ашиглалт, Зайнаас тандан судлал, дүрс мэдээг нэгтгэх, өөрчлөлтийн судалга
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References
Amarsaikhan D., Janzen J., Egshiglen E., and Gantuya R., "Urban land use change study in Mongolia using spatial techniques," International Journal of Sustainable Building Technology and Urban Development, Vol. 5, no. 1, pp. 35–43, 2014, https://doi.org/10.1080/2093761X.2013.867823.
United Nations Report, "Your growing population," https://www.un.org/en/global-issues/population/, 2022.
Macrotrends LLC, "Ulaanbaatar-Mongolia metro area population 1950- 2024," https://www.macrotrends.net/cities/21882/ulaanbaatar/population, 2024.
Asia Foundation, "Mongolia’s capital copes with rapid urbanization," https://asiafoundation.org/2017/05/ 31/mongolias-capital-copes-rapid-urbanization/, 2017.
Amarsaikhan D., Ganzorig M., and Saandar M., "Urban land cover change study using RS," Proceedings of the 21st Asian Conference on RS, Taiwan, pp. 314–320, 2000.
Chinbat B., Bayantur M., and Amarsaikhan D., "Investigation of the internal structure changes of Ulaanbaatar city using RS and GIS," Full paper published in CD-ROM Proceedings of the ISPRS Mid-term Symposium 2006, ITC, The Netherlnads, pp. wg04_1-6, 2006.
Amarsaikhan D., Battsengel V., Egshiglen E., Gantuya R., and Enkhjargal D., "Applications of GIS and very high resolution RS data forurban land use change studies in Mongolia," International Journal of Navigation and Observation, Vol. 2011- Article ID314507, pp. 1–9, 2011, https://doi.org/10.1155/2011/314507.
Byambakhuu Gantumur, Falin Wu, Yan Zhao, Battsengel Vandansambuu, Enkhjargal Dalaibaatar, Fareda Itiritiphan, Dauryenbyek Shaimurat," Implication of relationship between natural impacts and land use/land cover (LULC) changes of urban area in Mongolia,"Proc. SPIE 10431, Remote Sensing Technologies and Applications in Urban Environments II, 104310M, 2017, https://doi.org/10.1117/12.2278360.
Purevtseren Myagmartseren, Bazarkhand Tsegmid, Myagmarjav Indra, and Munkhnaran Sugar, "The Fractal Geometry of Urban Land Use: The Case of Ulaanbaatar City," Mongolia, Land 7, no. 2:67, 2018, https://doi.org/10.3390/land7020067.
Mundia C.N. and Aniya M., "Analysis of land use/cover changes and urban expansion of Nairobi city using remote sensing and GIS," International Journal of Remote Sensing, Vol. 26, no. 13, pp. 2831–2849, 2005, https://doi.org/10.1080/01431160500117865.
Pacifici F., Chini M., and Emery W.J., "A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification," Remote Sensing of Environment, 113, pp. 1276–1292, 2009, https://doi.org/10.1016/j.rse.2009.02.014.
Yang Y., Zhou Q., Gong J., and Wang Y., "An integrated spatio-temporal classification method for urban fringe change detection analysis," International Journal of Remote Sensing, Vol. 33, no. 8, pp. 2516–2531, 2012, https://doi.org/10.1080/01431161.2011.616551.
Hegazy R.I. and Kaloop M.R., "Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia Governorate Egypte," International Journal of Sustainable Built Environment Vol. 4 no. 1, pp. 117–124, 2015, https://doi.org/10.1016/j.ijsbe.2015.02.005.
Chen Y., and Yu S., "Assessment of urban growth in Guangzhou using multi-temporal, multi-sensor Landsat data to quantify and map impervious surfaces," International Journal of Remote Sensing, Vol. 37, no. 24, pp. 5936–5952, 2016, https://doi.org/10.1080/01431161.2016.1252473.
Dutta D., Rahman A., Paul S. K., and Kundu A., "Estimating urban growth in peri-urban areas and its interrelationships with built-up density using earth observation datasets," The Annals of Regional Science, 65, pp. 67–82, 2020, https://doi.org/10.1007/s00168-020-00974-8.
Tian S., Zhong Y., Ma A., and Zhang L., "Three-dimensional change detection in urban areas based on complementary evidence fusion," IEEE Transactions on Geoscience and Remote Sensing, 60, pp. 1–13, 2021, https://doi.org/10.1109/TGRS.2021.3101506.
Mather P. M., and Koch M., "Computer processing of remotely-sensed images: an introduction," John Wiley and Sons 2011, https://doi.org/10.1002/9780470666517.
Pohl C., and Van Genderen J., "Remote sensing image fusion: A practical guide," Crc Press, 2016, https://doi.org/10.1201/9781315370101.
Karathanassi V., Kolokousis P., and Ioannidou S., "A comparison study on fusion methods using evaluation indicators," International Journal of Remote Sensing, Vol.28, pp. 2309–2341, 2008, https://doi.org/10.1080/01431160600606890.
Amarsaikhan D., Ganzorig M., Saandar M., Blotevogel H.H., Egshiglen E., Gantuya R., Nergui B., and Enkhjargal D., "Comparison of multisource image fusion methods and land cover classification," International Journal of Remote Sensing, Vol. 33, no. 8, pp. 2532–2550, 2012, https://doi.org/10.1080/01431161.2011.616552.
Jiang D., Zhuang D., Huang Y., and Fu J., "Survey of multispectral image fusion techniques in remote sensing applications,"In Image fusion and its applications, Vol.1, pp. 1–22, IntechOpen, 2011, https://doi.org/10.5772/10548.
Kurban T., "Region based multi-spectral fusion method for remote sensing images using differential search algorithm and IHS transform," Expert Systems with Applications, 189, 116135, 2022, https://doi.org/10.1016/j.eswa.2021.116135.
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Copyright (c) 2023 Amarsaikhan Damdinsuren, Enkhmanlai Amarsaikhan, Tsogzol Gurjav, Munkh-Erdene Altangerel, Jargaldalai Enkhtuya, Enkhjargal Damdinsuren, Bat-Erdene Tsedev, Byambadolgor Batdorj, Amarsaikhan Damdinsuren
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