Changing Surface Temperature in Agartala City, Tripura Using RS and GIS

Jump To References Section

Authors

  • Department of Geography, North-Eastern Hill University, Meghalaya-793022 ,IN
  • Department of Geography, North-Eastern Hill University, Meghalaya-793022 ,IN
  • Department of Geography, North-Eastern Hill University, Meghalaya-793022 ,IN

Keywords:

Agartala City, NDVI, LST, Urbanization.

Abstract

Understanding the distribution of Land Surface Temperature (LST) in Agartala city and Vegetation Cover (NDVI) and its spatial variation will be helpful to depict its dynamics and mechanism for finding out solutions. For the present study Landsat imageries of different time period (2000, 2010 and 2016 of February) were obtained from USGS. The imageries were processed to prepare valuable maps in GIS environment.

Downloads

Download data is not yet available.

Published

2017-11-01

How to Cite

Das, S., Karim, S., & Rishi, H. (2017). Changing Surface Temperature in Agartala City, Tripura Using RS and GIS. Indian Science Cruiser, 31(6), 11–14. Retrieved from http://informaticsjournals.com/index.php/ISC/article/view/38451

 

References

Balamurugan et al., 2009. Surface Temperature mapping using ETM TIR images in Parts of Precambrian Terrain, India, Developments in Exploration Geology and Geoinformatics, Macmillan, New Delhi., pp. 237-244.

Jawaharlal Nehru National Urban Renewal Mission (JNNURM), 2006. City Development Plan-Agartala, LEA Associates South Asia, New Delhi in Association with CEPT, Ahmadabad.

Kaspersen et al., 2015. Using Landsat Vegetation Indices to Estimate Impervious Surface Fractions for European Cities, Journal of Remote Sens. Vol. 7, ISSN: 2072-4292, pp. 8224-8249; doi:10.3390/rs70608224

Kumar et al., 2012. Estimation of Land Surface Temperature to Study Urban Heat Island Effect Using Landsat ETM+ Image, International Journal of Engineering Science And Technology (IJEST), ISSN: 0975-5462, Vol. 4, No.02, PP. 771-778.

G. Molnar, 2016. Analysis of land surface temperature and NDVI distribution for Budapest using Landsat 7 ETM+ data, journal of Acta Climatologica ET Chorologica, Universitatis Szegediensis, Tomus, Vol. 49-50, pp. 49-61.

NASA, 2004, Landsat Project Science Office: Landsat 7 Science data users hand book, Chapter: 11, Data Products. http://www.gsfc.nasa.gov/IAS/handbook/handbook_htmls

Orhan et al., 2014. Use of Landsat Land Surface Temperature and Vegetation Indices for Monitoring Drought in the Salt Lake Basin Area, Turkey, The Scientific World Journal, pp. 1-11.

O. Orhan, and M. Yakar, 2016. Investigating Land Surface Temperature Changes Using Landsat Data in Konya, Turkey, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B8, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague, Czech Republic.

Saha et al., 2013. Estimating Minimum and Maximum Air Temperature Using MODIS Data Over Indo-Gangetic Plain, Journal of Earth System Science, Indian Academy of Sciences, Vol. 122, No. 6, pp. 1593-1605.

Schmugge et al., 2002. Temperature and emissivity separation from multispectral thermal infrared observations, Journal of Remote Sensing of Environment, Vol. 79, pp. 189-198, Elsevier Publication.

UN (2015). World Urbanization Prospects: The 2014 Revision, United Nations, Department of Economic and Social Affairs, Population Division.