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Quantifying the relationship between impervious surface and urban heat environment in the southeast megalopolis of Vietnam

By: Tran Thi Van, Ha Duong Xuan Bao

Key Words: Impervious surface, Land surface temperature, Statistical analysis, Urban land cover, Weighted least squares

J. Bio. Env. Sci. 10(3), 158-169, March 2017.

Abstract

The impervious surface (IS) in urban area is known as the main component to impact on urban climate as it changes the land surface temperature (LST). It is also a kind of urbanization indicator when the land surface is changed by constructing materials. This paper presents the study on the relationship between LST and IS, carried out by investigating with urban factors extracted directly from the satellite image (IS, vegetation ND and open water WA) and the official census (population density PD) for Ho Chi Minh City (HCMC), a megalopolis of Vietnam rapidly developed from natural to artificial impervious landscape. IS was extracted by the integrated technique when using Maximum Likelihood Classification method with the thresholding NDVI. The final classification results achieved high accuracy (overall accuracy about 95% and Kappa coefficient about 0.9). LST was retrieved from the thermal infrared band using Planck law and corrected to the surface emissivity. The statistical analysis was carried out with multivariate regression between LST and IS, ND, WA, PD. The results show that LST is highly correlated to IS (r=0.873) and has the positive relationship with IS and PD, but negative relationship with ND and WA. In the linear multivariable regression by weighted least squares method with the IS as the weighted variable, it was found that IS variable plays a highest positive role (Beta=0.42) impacting on the change of LST in HCMC. This research can be used as reference to support the management of urban thermal environment and protect public health.

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Quantifying the relationship between impervious surface and urban heat environment in the southeast megalopolis of Vietnam

Carlson TN, Ripley DA. 1997. On the relation between NDVI, fractional vegetation cover and leaf area index. Remote Sensing of Environment 62, 241-252.

Goward SN, Xue Y, Czajkowski KP. 2002. Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements: An exploration with the simplified simple biosphere model. Remote Sensing of Environment 79, 225–242.

Gupta RP. 1991. Remote Sensing Geology. Springer-Verlag, Berlin and Heidelberg, Germany.

Kim HH. 1992. Urban Heat Island. International Journal of Remote Sensing 13, 2319- 2336.

Le Van Thanh. 2006. Population and socio-economic development of Ho Chi Minh City. Economic Newsletter, Institute of Economics.

Markham BL, Barkewr JL. 1986. Landsat MSS and TM Post Calibration Dynamic Ranges, Exoatmospheric Reflectance and at-satellite Temperatures. EOSAT Landsat Technical Notes 1, 3–8.

Nguyen Tran Que, Vu Manh Ha. 2008. Economic Statistics Textbook. VNU Hanoi Publisher.

Oke TR, Spronken-Smith A, Jauregui E, Grimmond CSB. 1999. The energy balance of central Mexico City during the dry season. Atmospheric Environment 33, 3919-39300.

Oke TR. 1973. City size and the urban heat island. Atmospheric Environment 7, 769-779.

Owen TW, Carlson TN, Gillies RR. 1998. An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization. International Journal of Remote Sensing 19, 1663-1681.

Prata AJ, Caselles V, Coll C, Sobrino JA, Ottle C. 1995. Thermal remote sensing of land surface temperature from satellites: Current status and future prospects. Remote Sensing Reviews 12, 175–224.

Quattrochi DA, Ridd MK. 1994. Measurement and Analysis of thermal energy responses from discrete urban surfaces using remote sensing data. International Journal of Remote Sensing 15, 1991-2022.

Shafir H, Alpert P. 1990. On the urban orographic rainfall anomaly in Jerusalem-A numerical study. Atmospheric Environment, Part B-Urban Temperature 24, 365-375.

Streutker DR. 2003. A remote sensing study of the urban heat island of Houston, Texas. International Journal of Remote Sensing 23, 2595-2608.

Valor E, Caselles V. 1996. Mapping land surface emissivity from NDVI: application to European, African, and South American areas. Remote Sensing of Environment 57, 167–184.

Van De Griend AA and Owe M. 1993. On the relationship between thermal emissivity and the normalized difference vegetation index for natural surfaces. International Journal of Remote Sensing 14, 1119–1131.

Vo Kim Cuong 2004. Urban management in transformation period. Construction Publisher.

Weng Q. 2003. Fractal analysis of satellite-detected urban heat island effect. Photogrammetric Engineering and Remote Sensing 69, 555-566.

Yamashita S, Sekine K. 1991. Some studies on the earth’s surface conditions relating to the urban heat island. Energy and Buildings 15, 279-288.

Tran Thi Van, Ha Duong Xuan Bao.
Quantifying the relationship between impervious surface and urban heat environment in the southeast megalopolis of Vietnam.
J. Bio. Env. Sci. 10(3), 158-169, March 2017.
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