Authors

Nguyen Hai Au 1,2*

Affiliations

1 Institute for Environment and Resources; haiauvtn@gmail.com

2 Vietnam National University Ho Chi Minh City; haiauvtn@gmail.com

*Corresponding author: haiauvtn@gmail.com; Tel.: +84–989115280

Abstracts

Ba Ria-Vung Tau province is situated in the Southern main economic area with rapid urbanization, industry, and modernization. The expansion of impermeable land cover has grown significantly in response to climate change and global warming, which have resulted in higher surface temperatures in the province in recent years. This study provides an assessment of the impact of increased temperature in Ba Ria - Vung Tau province based on surface temperature values extracted from thermal infrared Landsat image data during the period 2010-2021. The variety of land cover tends to influence the properties of land surface temperature reported by satellite sensing sensors. The results show that the heat island activity is strong, with a decreasing trend from urban to peri-urban areas. The surface temperatures above 30-40oC accounted for just 5% of the study area in 2010, but the rate doubled by 2021. Typical areas with an increase in surface temperature due to the rapid urbanization include Vung Tau city, Ba Ria city, Long Dien district, and Phu My town. This demonstrates that the changes in land cover is a factor contributing to the increase in land surface temperature in the area.

Keywords

Remote sensing; Surface temperature; Land cover change.

Cite this paper

Au, N.H. Application GIS and remote sensing methods to assess the change in land surface temperature in Ba Ria - Vung Tau province, Vietnam. J. Hydro-Meteorol. 2024, 19, 47-60.

References

1. Hu, W.; Zhou, W.; He, H. The effect of land-use intensity on surface temperature in the Dongting Lake area, China. Adv. Meteorol. 2015, 1–11.

2. Bokaie, M.; Zarkesh, M.K.; Arasteh, P.D.; Hosseini, A. Assessment of urban heat island based on the relationship between land surface temperature and land use/ land cover in Tehran. Sustainable Cities Soc. 2016, 23, 94–104.

3. Himayah, S.; Ridwana, R.; Ismail, A. Land surface temperature analysis based on land cover variations using satellite imagery. IOP Conf. Ser.: Earth Environ. Sci. 2020, 500(1), 012019.

4. Jiang, J.; Tian, G. Analysis of the impact of land use/land cover change on land surface temperature with remote sensing. Procedia Environ. Sci. 2010, 2, 571–575.

5. Igun, E.; Williams, M. Impact of urban land cover change on land surface temperature. Global J. Environ. Sci. Manage. 2018, 4(1), 47–58.

6. Kayet, N.; Pathak, K.; Chakrabarty, A.; Sahoo S. Spatial impact of land use/land cover change on surface temperature distribution in Saranda Forest, Jharkhand. Model. Earth Syst. Environ. 2016, 2(3), 1–10.

7. Mohamed, A.; Bernard, A.E. Application of remote sensing techniques and geographic information systems to analyze land surface temperature in response to land use/land cover change in greater Cairo region, Egypt. J. Geogr Inf. Syst. 2018, 10, 57–88.

8. Mehdi, B.; Mirmasoud, K.Z.; Peyman, Daneshkar A.; Ali, H. assessment of urban heat island based on the relationship between land surface temperature and land use/land cover in Tehran. Sustainable Cities Soc. 2016, 23, 94–104.

9. Shivakumar, B.R.; Rajashekararadhya, S.V. An investigation on land cover mapping capability of classical and fuzzy based maximum likelihood classifiers. Int. J. Eng. Technol. 2018, 7(2), 939–947.

10. Huy, N.A.; Trang, N.T.D.; Nguyen, N.T.T; Trong, T.V.; Son, T.V. Application of remote sensing of Ho Chi Minh city’s surface temparature in period 2016–2020. VN J. Hydrometeorol. 2021, 729(9), 29–39.

11. Tuyet, N.H.A.; Than, N.H. Application of remote sensing to assess the variation of land surface temperature in Dau Tieng District, Binh Duong province in the context of Climate change in the phase of 2004-2019. Proceeding of Earth and environmental sciences, 2019, 357–360.

12. Anh, L.V.; Tuan, T.A. Estimation of land surface temperature using emissivity calculated from normalized difference vegetation index. VN J. Earth Sci. 2014, 36(2), 184–192.

13. Van, T.T; Bao, H.D.X. Study of the impact of urban development on surface temperature using remote sensing in Ho Chi Minh City, Southern Vietnam. Geogr. Res. 2010, 48(1), 86–96.

14. United States Geological Survey. Online available: earthexplorer.usgs.gov.

15. Department of the Interior U.S. Geological survey 2019 Landsat 7 (L7) data users handbook, USA.

16. Department of the Interior U.S. Geological survey 2019 Landsat 8 (L8) data users handbook, USA.

17. LANDSAT Conversion to Radiance. Reflectance and at-Salittite brightness temperature (NASA).

18. Carlson, T.N.; Ripley, D.A. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens. Environ. 1997, 62(3), 241–252.

19. Vo, M.Q; Varnakovida, P.; Iabchoon, S.; Nguyen, D.T.H.; Nguyen, C.T. Analysis of factors affecting urban heat island phenomenon in Bangkok metropolitan area, Thailand. VNU J. Sci.: Earth Environ. Sci. 2019, 35(1), 53–62.

20. Sobrino, J.A.; Jiménez-Muñoz, J.C.; Paolini, L. Land surface temperature retrieval from LANDSAT TM 5. Remote Sens. Environ. 2004, 90(4), 434–440.

21. Nugraha, A.S.A.; Gunawan, T.; Kamal, M. Comparison of land surface temperature derived from Landsat 7 ETM+ and Landsat 8 OLI/TIRS for drought monitoring. IOP Conf. Ser.: Earth Environ. Sci. 2019, 313(1), 012041.