This paper is published in Volume-5, Issue-2, 2019
Area
Remote Sensing
Author
Dr. Vishwa Raj Sharma, Kamal Bisht
Org/Univ
Shaheed Bhagat Singh College, University of Delhi, New Delhi, India
Pub. Date
26 April, 2019
Paper ID
V5I2-1926
Publisher
Keywords
Remote sensing, GIS, Land Surface Temperature (LST), Land Surface Emissivity (LSE), Normalized Difference Vegetation Index (NDVI)

Citationsacebook

IEEE
Dr. Vishwa Raj Sharma, Kamal Bisht. Estimation of Land Surface Temperature using LANDSAT DATA: A case study of Agra city, India, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Dr. Vishwa Raj Sharma, Kamal Bisht (2019). Estimation of Land Surface Temperature using LANDSAT DATA: A case study of Agra city, India. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Dr. Vishwa Raj Sharma, Kamal Bisht. "Estimation of Land Surface Temperature using LANDSAT DATA: A case study of Agra city, India." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

Land Surface Temperature (LST) is an important indicator for the study of climate change, urban environment, heat balance studies, hydrological and agricultural process, and urban land use and land cover as well as user input for climate models. LANDSAT data is utilized for the number of applications such as environment study, digester and resource management. This study has been made to estimate, LST using Arc GIS over Agra, India, using LANDSAT 8 and 5 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 thermal band 10 and 11 of Landsat 8 satellite and thermal band 6 of Landsat 5 on the month of April. The results are feasible to calculate NDVI, LSE, and LST with appropriate accuracy. In the last drive out the temperature variance in different land use and land cover area of Agra city, India.