This paper is published in Volume-4, Issue-2, 2018
Area
Remote Sensing
Author
Anandababu D
Co-authors
Purushothaman B M, Dr. S. Suresh Babu
Org/Univ
Adhiyamaan College of Engineering, Hosur, Tamil Nadu, India
Pub. Date
14 March, 2018
Paper ID
V4I2-1195
Publisher
Keywords
Remote Sensing, GIS, Land Surface Temperature (LST), Land Surface Emissivity (LSE), Normalized Difference Vegetation Index (NDVI).

Citationsacebook

IEEE
Anandababu D, Purushothaman B M, Dr. S. Suresh Babu. Estimation of Land Surface Temperature using LANDSAT 8 Data, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Anandababu D, Purushothaman B M, Dr. S. Suresh Babu (2018). Estimation of Land Surface Temperature using LANDSAT 8 Data. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.

MLA
Anandababu D, Purushothaman B M, Dr. S. Suresh Babu. "Estimation of Land Surface Temperature using LANDSAT 8 Data." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.

Abstract

Land surface temperature (LST) is an important factor in many areas like climate change, urban land use/land cover, heat balance studies and also a key input for climate models. LANDSAT Data has given a lot of possibilities to study the land processes using remote sensing. This study has been made to estimate LST using Arc GIS over Hosur, Krishnagiri district, Tamil Nadu, India, using LANDSAT 8 satellite data. The LST has been estimated with respect to Normalized Difference Vegetation Index (NDVI) values determined from the Red and Near Infrared bands. The Land Surface Emissivity (LSE) is retrieved directly from the Thermal Infrared bands. The present study focuses on ArcGIS Raster functions and Raster calculation using the LANDSAT 8 April and November, thermal Bands (10 & 11). The results are feasible to Calculate NDVI, LSE and LST with appropriate accuracy.
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