Assessment of land use/land cover changes in Hue City during the period 2012-2022
PDF (Vietnamese)

Keywords

land use/land cover
land use/land cover changes
Hue city lớp phủ sử dụng đất
biến động lớp phủ
thành phố Huế

Abstract

This study evaluates the changes in land use/land cover in Hue City from 2012 to 2022 by creating three land use/land cover maps for the years 2012, 2017, and 2022 using the Maximum Likelihood Classifier (MLC) method with Landsat 7, 8, and 9 images including five types of land cover: bare land, transportation, water, agricultural, and built-up areas. The Kappa coefficient of the maps, which exceeds 0.9, indicates a reliable level of confidence; however, there are still errors present in the interpretation of Landsat images with a resolution of 30 30m. The results of the study indicate that the expansion of urban space has significantly increased the agricultural land cover, as well as the area of built-up and transportation land, which rose dramatically from 3,902.38 hectares to 7,473.70 hectares. The research shows that after the expansion of the Hue City, the area with the highest building density has tended to develop towards the East-Southeast, due to the incorporation of densely built districts such as Thuan An Ward and Phu Dương Commune. The study has revealed significant fluctuations in land use cover in Hue city during the period from 2012 to 2022, contributing to the understanding of urban development trends and changes in land use structure following the administrative boundary expansion.

https://doi.org/10.26459/hueunijard.v134i3A.7639
PDF (Vietnamese)

References

  1. M. Mohan & A. Kandya (2015), Impact of urbanization and land-use/land-cover change on diurnal temperature range: a case study of tropical urban airshed of India using remote sensing data, Sci. Total Environ, 506, 453–465.
  2. Angel S, Parent J, Civco DL, Alexander Blei & David Potere (2011), The dimensions of global urban expansion: estimates and projections for all countries, 2000-2050, Prog Plan 2011, 75, 53–107.
  3. A Dewan & Y Yamaguchi (2009), Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization, Appl. Geogr., 29, 390–401.
  4. X Liu & R Lathrop (2002), Urban change detection based on an artificial neural network, Remote Sensing, 23, 2513–2518.
  5. R. Goldblatt, M. F. Stuhlmacher, B. Tellman, N. Clinton, G. Hanson, M. Georgescu, C. Wang, F. Serrano-Candela, A. K. Khandelwal & W. Cheng (2018), Using Landsat and nighttime lights for supervised pixel-based image classification of urban land cover, Remote Sensing Environment, 205, 253–275.
  6. Thủ tướng Chính phủ (2014), Quyết định số 1874/QĐ-TTg Quy hoạch tổng thể phát triển kinh tế - xã hội Vùng kinh tế trọng điểm miền Trung đến năm 2020, định hướng đến năm 2030 đã được Thủ tướng Chính phủ phê duyệt ngày 13 tháng 10 năm 2014.
  7. Ủy ban thường vụ Quốc Hội (2021), Nghị quyết số 1264/NQ-UBTVQH14 về việc điều chỉnh địa giới các đơn vị hành chính cấp huyện và sắp xếp, thành lập các phường thuộc thành phố Huế do Ủy ban thường vụ Quốc hội ban hành ngày 27 tháng 4 năm 2021.
  8. James R. Anderson, Ernest E. Hardy, John T. Roach & Richard E. Witmer (1976), A Land Use and Land Cover Classification System for Use with Remote Sensor Data, United States Government Printing office, Washington.
  9. J. R. Jensen (1996), Introductory Digital Image Processing: A Remote Sensing Perspective, Prentice-Hall Inc.: Hoboken, NJ, USA.
  10. Lê Văn Trung (2010), Viễn Thám. Nxb. Đại học Quốc gia, TP. Hồ Chí Minh.
  11. Gary M Senseman, Calvin F Bagley & Scott Allen Tweddale (1995), Accuracy assessment of the discrete classification of remotely-sensed digital data for landcover mapping, US Army Corps of Engineers, Construction Engineering Research Laboratories.