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Study Changes in the River Red Section Flowing Though Hanoi Area Using Landsat Satellite Images

EasyChair Preprint no. 3776

11 pagesDate: July 7, 2020


In order to create a scientific base for the implementation of the urban development project on the banks of the Red River, it is necessary to calculate the historical fluctuations in the area of the river bed. This will ensure the normal development of the river and minimize damage to the natural ecosystem. Using the methods of remote sensing (RS) and the Geographic Information System (GIS), we studied the change in the area of the Red River channel in the periods 1999, 2003, 2007, 2008, 2009 and 2013. The effect of climate on spatial changes in the riverbed in accordance with the five time steps was analyzed using an overlaid map and ceilings. At first, some sections along the Red River were investigated and compared with the results obtained in satellite images. Then we calibrated the images, eliminated the noise, honed and tuned the spectrum. After that, layers of water information for the studied section of the river were extracted from Landsat image data and placed in separate layers in the GIS. The tendency of expansion of the river channel to the northeast with a gradual movement of the channel to the southeast with the simultaneous smoothing of bends is established. During periods of peak floods (August 2008) and the greatest drought (November 2009), explosive fluctuations were detected in the canals. The research results are the basis for building a spatial security corridor and planning operational environmental decisions on both sides of the river.

Keyphrases: Ecological and environmental, GIS, Red River, Safety corridor

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Tu Dinh Vu Anh and Natalia Kharlamova and Elena Ionkina and Ha Nguyen Thi Thu},
  title = {Study Changes in the River Red Section Flowing Though Hanoi Area Using Landsat Satellite Images},
  howpublished = {EasyChair Preprint no. 3776},

  year = {EasyChair, 2020}}
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