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Estimation of Land Surface Temperature using GIS and MATLAB

A. Rajeshwari1 , N.D. Mani2

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-04 , Page no. 219-222, May-2018

Online published on May 31, 2018

Copyright © A. Rajeshwari, N.D. Mani . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: A. Rajeshwari, N.D. Mani, “Estimation of Land Surface Temperature using GIS and MATLAB,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.04, pp.219-222, 2018.

MLA Style Citation: A. Rajeshwari, N.D. Mani "Estimation of Land Surface Temperature using GIS and MATLAB." International Journal of Computer Sciences and Engineering 06.04 (2018): 219-222.

APA Style Citation: A. Rajeshwari, N.D. Mani, (2018). Estimation of Land Surface Temperature using GIS and MATLAB. International Journal of Computer Sciences and Engineering, 06(04), 219-222.

BibTex Style Citation:
@article{Rajeshwari_2018,
author = {A. Rajeshwari, N.D. Mani},
title = {Estimation of Land Surface Temperature using GIS and MATLAB},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {06},
Issue = {04},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {219-222},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=385},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=385
TI - Estimation of Land Surface Temperature using GIS and MATLAB
T2 - International Journal of Computer Sciences and Engineering
AU - A. Rajeshwari, N.D. Mani
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 219-222
IS - 04
VL - 06
SN - 2347-2693
ER -

           

Abstract

Land Surface Temperature (LST) is the skin temperature of the earth surface. And it is found that the value of LST will be high in settlement regions and low in area under green cover. The amount of green cover is reducing day by day which leads to higher LST. Hence in this paper LST was calculated for in and around Dindigul City. Satellite image provides information about thermal reflection. Satellite image processing is usually done in GIS and Digital Image Processing Software, whereas the output thus processed was compared with the result derived from Matlab software. From the analysis it is evident that Matlab can also be utilised for satellite image processing also. To calculate LST Split-Window Algorithm has been used. The output reveals that the LST estimated using both the software are nearly correlated. The slight difference is due to data type conversion in Matlab.

Key-Words / Index Term

Land Surface Temperature, Geographical Information System, Digital Image Processing, Satellite image

References

[1] Zhao-Liang Li, Bo-Hui Tang, Hua Wu, Huazhong Ren, Guangjian Yan, Zhengming Wan, Isabel F. Trigo, José A. Sobrino, “Satellite-derived land surface temperature: Current status and perspectives”, Remote Sensing of Environment, Vol. 131, pp 14–37, 2013
[2] Jose A. Sobrino, Juan C. Jimenez-Munoz, Guillem Soria, Mireria Romagueram Luis Guanter, Jose Moreno, “Land Surface Emissivity Retrieval from Different VNIR and TIR Sensors”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, Issue 2,pp 316-327, 2008
[3] Sumit Khandelwal, Rohit Goyal, Nivedita Kaul, Aneesh Mathew, “Assessment of land surface temperature variation due to change in elevation of area surrounding Jaipur, India”, The Egyptian Journal of Remote Sensing and Space Science,2017
[4] Suzana Binti Abu Bakar, Biswajeet Pradhan, Usman Salihu Lay and Saleh Abdullahi, “Spatial assessment of land surface temperature and land use/land cover in Langkawi Island”, Earth and Environmental Science 37, 2016, 012064
[5] Swades Pal, Sk. Ziaul, “Detection of Land Use and Land Cover Change and Land Surface Temperature in English Bazar Urban Centre” The Egyptian Journal of Remote Sensing and Space Sciences, Vol. 20, pp 125–145, 2017
[6] Patricia Wanjiku Mwangi, Faith Njoki Karanja, Peter Kariuki Kamau, “Analysis of the Relationship between Land Surface Temperature and Vegetation and Built-Up Indices in Upper-Hill, Nairobi”, Journal of Geoscience and Environment Protection, Vol. 6, pp 1-16, 2018
[7] Rajeshwari.A, Mani N.D., “Estimation of Land Surface Temperature of Dindigul District using Landsat 8 Data”, International Journal of Research in Engineering and Technology, Vol. 3, Issue.5, pp 122-126, 2015