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Analysis of TCI Index Using Landsat8 TIRS Sensor Data of Vaijapur Region

Sandeep V. Gaikwad1 , Kale K.V.2 , Rajesh K. Dhumal3 , Amol D. Vibhute4

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-8 , Page no. 60-64, Aug-2015

Online published on Aug 31, 2015

Copyright © Sandeep V. Gaikwad, Kale K.V., Rajesh K. Dhumal , Amol D. Vibhute . 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: Sandeep V. Gaikwad, Kale K.V., Rajesh K. Dhumal , Amol D. Vibhute, “Analysis of TCI Index Using Landsat8 TIRS Sensor Data of Vaijapur Region,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.8, pp.60-64, 2015.

MLA Style Citation: Sandeep V. Gaikwad, Kale K.V., Rajesh K. Dhumal , Amol D. Vibhute "Analysis of TCI Index Using Landsat8 TIRS Sensor Data of Vaijapur Region." International Journal of Computer Sciences and Engineering 3.8 (2015): 60-64.

APA Style Citation: Sandeep V. Gaikwad, Kale K.V., Rajesh K. Dhumal , Amol D. Vibhute, (2015). Analysis of TCI Index Using Landsat8 TIRS Sensor Data of Vaijapur Region. International Journal of Computer Sciences and Engineering, 3(8), 60-64.

BibTex Style Citation:
@article{Gaikwad_2015,
author = {Sandeep V. Gaikwad, Kale K.V., Rajesh K. Dhumal , Amol D. Vibhute},
title = {Analysis of TCI Index Using Landsat8 TIRS Sensor Data of Vaijapur Region},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2015},
volume = {3},
Issue = {8},
month = {8},
year = {2015},
issn = {2347-2693},
pages = {60-64},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=609},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=609
TI - Analysis of TCI Index Using Landsat8 TIRS Sensor Data of Vaijapur Region
T2 - International Journal of Computer Sciences and Engineering
AU - Sandeep V. Gaikwad, Kale K.V., Rajesh K. Dhumal , Amol D. Vibhute
PY - 2015
DA - 2015/08/31
PB - IJCSE, Indore, INDIA
SP - 60-64
IS - 8
VL - 3
SN - 2347-2693
ER -

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Abstract

World is facing drought severity in every year. Drought is hard to predict and it is a very complex natural disaster to understand. It has high impact on human habitat and the agricultural sector. Satellite remote sensing is a revolutionary technology which is helpful for monitor natural disaster on earth from the space. This research study investigates drought severity level in Vaijapur tehsil on the basis satellite drought indicator. This study is focused on Vaijapur tehsil which is coming under scanty rainfall region. The water scarcity in throughout the year has been an unsolved problem for decades. In this research paper we have used Landsat 8 TIRS (Thermal Infrared) Sensor data, to extract the Temperature Condition Index (TCI) of the year 2013-2014. We have collected rainfall and temperature data from Indian Meteorological Department (IMD) web portal.

Key-Words / Index Term

Drought Indices; Landsat 8; TCI; ATCOR

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