The urban areas classification methodology according to multi-zone images of Sentinel 2 and Landsat 8 (on the example of the city of Thanh Hoa, Vietnam)

Remote sensing
UDC: 
528.7+528.854.2
DOI: 
10.22389/0016-7126-2020-956-2-40-49
1 Trinh Le Hung
2 Mai Dinh Sinh
3 Zablotskii V.R.
Year: 
2020
№: 
2
956
Pages: 
40-49

Le Quy Don Technical University, Hanoi, Vietnam

1, 
2, 

Moscow State University of Geodesy and Cartography (MIIGAiK)

3, 
Abstract:
In recent years, land cover changes very quickly in urban areas due to the impact of population growth and socio-economic development. The authors present the method of land cover/land use classification based on the combination of Sentinel 2 and Landsat 8 multi-resolution satellite images. A middle infrared band (band 11), a near infrared (band 8) of Sentinel 2 image and a thermal infrared one (band 10) of Landsat 8 image were used to calculate EBBI (Enhanced Built-up and Barreness Index). The EBBI index and Sentinel 2 spectral bands with spatial resolution 10 m (band 2, 3, 4, 8) were used to classify the land cover. The obtained results showed that, the method of land cover classification based on combination of Sentinel 2 and Landsat 8 satellite images improves the overall accuracy by about 5 % compared with the one using only Sentinel 2 data. The results obtained at the study can be used for the management, assessment and monitoring the status and dynamics of land cover in urban areas.
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Citation:
Trinh Le Hung, 
Mai Dinh Sinh, 
Zablotskii V.R., 
(2020) The urban areas classification methodology according to multi-zone images of Sentinel 2 and Landsat 8 (on the example of the city of Thanh Hoa, Vietnam). Geodesy and cartography = Geodezia i Kartografia, 81(2), pp. 40-49. (In Russian). DOI: 10.22389/0016-7126-2020-956-2-40-49
Publication History
Received: 04.06.2019
Accepted: 26.09.2019
Published: 20.03.2020

Content

2020 February DOI:
10.22389/0016-7126-2020-956-2