Application of Remote Sensing and GISto StudySurface Temperature ChangesofThe Urban Districts in Hanoi during 2005- 2015Period

Received: 19-02-2016

Accepted: 15-07-2016

DOI:

Views

0

Downloads

0

Issue: Vol. 14 No. 8 (2016)

Section:

TÀI NGUYÊN VÀ MÔI TRƯỜNG

How to Cite:

Thuan, N., & Van, P. (2024). Application of Remote Sensing and GISto StudySurface Temperature ChangesofThe Urban Districts in Hanoi during 2005- 2015Period. Vietnam Journal of Agricultural Sciences, 14(8), 1219–1230. http://testtapchi.vnua.edu.vn/index.php/vjasvn/article/view/1446

Application of Remote Sensing and GISto StudySurface Temperature ChangesofThe Urban Districts in Hanoi during 2005- 2015Period

Nguyen Duc Thuan (*) 1 , Pham Van Van 1

  • 1 Khoa Quản lý đất đai, Học viện Nông nghiệp Việt Nam

    • Keywords

    GIS, remote sensing, urban surfce temperature changes

    Abstract


    Hanoi city has 30 administrative unitswith area of 3.344,7 km2. High population densityleads to fast development ofinfrastructure and residences,therefore, causing urban “heat island”phenomenonthat dramaticallyaffectsclimate change in Vietnam. Thus, authors usedcharacterized information of bands of satellite image data of Landsat involving 12 urban districts of Hanoi during3 periods,2005,2010,and 2015. With infrared bands, after pixel values wereconverted from digital number (DN) into energy of Atmosphere spectral radiance,the light surface temperaturewas determined. However, the real temperaturewas then determined byadjusting theemissivitty of top cover layer via Normalized Difference Vegetation Index and energy of radiance to top of atmosphere reflectance basedon red and near- infrared bands. Combined with urban land situation estimated from image satellite analysis via accreditation classifyingmethod,the correlation regression equation between surface temperature and urbanization speed was proposed.

    References

    Gyanesh Chander and Brian Markham (2003). Revised Landsat-5 TMRadiometric Calibration, Procedures and Postcalibration Dynamic Ranges. Iee transactions on Geoscience and Remote sensing, 41(11).

    Gupta R.P. (1991). Remote Sensing Geology. Springer - Verlag, Berlin and Heidelberg, Germany.

    John R Jensen (1996). Introductory Digital Image Processing.

    Lê Đức Vĩnh (2006). Giáo trình xác suất thống kê. Nhà xuất bản Nông nghiệp, Hà Nội.

    Nguyen Duc Thuan, Tran Quoc Vinh, Le Thi Giang (2015). Research andapplication of remote sensing and gis technologies in determining and forecast the land cover changes by markov chain in Y Yen district - Nam Dinh province. Proceedings GIS 2015 conference.

    Tran Thi Van (2014). Monitoring Urban Heat Island in Vietnam with Remote Sensing. International Workshop on Air Quality in Asia, Hanoi, Vietnam, June 24 ‐26th, 2014.

    USGS (2001). Landsat 7 Science Data User’s Handbook

    U.S. Geological Survey (2013). Using the USGS Landsat 8 Product, http://landsat.usgs.gov /Landsat8_Using_Product.php. Cited 23/6/2015.

    Valor E and Caselles V (1996). Mapping Land Surface Emissivity from NDVI: Application to European, African, and South American Areas. Remote Sensing of Environment, 57: 167 - 184.