Vol 7 No 1 (2020)

Spatio-temporal Analysis of Urban Built-up Land in the Hanoi Metropolitan Area (Vietnam) using Remotely Sensed Images

Thanh Tien Nguyen
Faculty of Surveying, Mapping and Geographic Information, Hanoi University of Natural Resources and Environment, Hanoi, Vietnam.
Published May 25, 2020
196 Views | 31 Downloads
  • Spatio-temporal analysis, Change detection, Urban built-up land, remotely sensed data, Landsat time-series images, Urban heat islands; Hanoi metropolitan area (Vietnam).
How to Cite
Nguyen, T. T. (2020). Spatio-temporal Analysis of Urban Built-up Land in the Hanoi Metropolitan Area (Vietnam) using Remotely Sensed Images. Asian Review of Environmental and Earth Sciences, 7(1), 61-66. https://doi.org/10.20448/journal.506.2020.71.61.66


Rapid and unplanned urbanization leads to temperature rise, urban vegetation decrease, and built-up land increase, forming an urban heat island. It is, therefore, the change of built-up land plays an important role in surface urban heat island studies. This study aims to analyze spatio-temporal changes of urban built-up land in the Hanoi Metropolitan Area (HMA), Vietnam, using Landsat remotely sensed images acquired in 1996 and 2016. Landsat time-series images were first pre-processed preprocessed to account for sensor, solar, atmospheric, and topographic effects. Urban built-up land was then extracted based on an NDBI based continuous built-up index (BUc). Spatio-temporal changes of built-up land were finally analyzed by means of Geographic Information System (GIS). It was found that the urban built-up land area had increased from 4063.1 hectares in 1996 to 7163.2 hectares in 2016 which account for 13.3% and 23.4% of the total area, respectively. The built-up land area had increased by about 10.1% of the total area in 20 years. On average, 0.5% of the urban built-up area increases each year. The urban built-up land tends to expand to the west, southwest, and south of the HMA. These findings demonstrate the effectiveness of the proposed method for spatio-temporal analysis of built-up land in urban areas using remotely sensed images.


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