Volume 7, Issue 1, August 2014, Pages 11–18
Krishnendu Banerjee1, Surajit Panda2, Dr. Manish Kumar Jain3, Dr. A.T Jeyaseelan4, and Ratnesh Kr. Sharma5
1 Jharkhand Space Applications Center, Dept. of Information Technology, Govt. of Jharkhand, Ranchi- 834004, Jharkhand, India
2 Jharkhand Space Applications Center, Dept. of Information Technology, Govt. of Jharkhand, Ranchi- 834004, Jharkhand, India
3 Dept. of Environmental Science & Engineering, Indian School of Mines (ISM), Dhanbad-826004, Jharkhand, India
4 Regional Remote Sensing Centre West, NRSC, ISRO, Jodhpur - 342003 Rajasthan, India
5 Jharkhand Space Applications Center, Dept. of Information Technology, Govt. of Jharkhand, Ranchi- 834004, Jharkhand, India
Original language: English
Copyright © 2014 ISSR Journals. 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.
Land surface temperature (LST) is important factor in surface feature mapping, analysis, and estimation of emissivity and heat balance studies. The knowledge of surface temperature is important for various applications in Remote sensing field. Feature mapping and analysis can be done according to their emissivity and brightness temperature. In this investigation an attempt has been made to estimate surface temperature from ASTER and to use the relationship between aster thermal bands for feature mapping. ASTER has 5 thermal bands (wave length ranging from 8.125µm to 11.65µm) and these are used in comparison. ASTER thermal bands have been used to convert digital numbers to exoatmospheric radiance using published ASTER user manual gains and offsets. The exoatmospheric radiance is then converted to surface radiance by applying the Emissivity Normalization method, assuming the emissivity of the Investigation area is constant (0.96, the emissivity of urban areas).The surface temperature is then extracted from the surface radiance, based on ASTER images of May 2007.The extracted temperature data were compared to individual ASTER temperature bands. A positive correlation has been found from this comparison.
Author Keywords: LST (Land surface temperature), TOA (Top of the atmosphere).
Krishnendu Banerjee1, Surajit Panda2, Dr. Manish Kumar Jain3, Dr. A.T Jeyaseelan4, and Ratnesh Kr. Sharma5
1 Jharkhand Space Applications Center, Dept. of Information Technology, Govt. of Jharkhand, Ranchi- 834004, Jharkhand, India
2 Jharkhand Space Applications Center, Dept. of Information Technology, Govt. of Jharkhand, Ranchi- 834004, Jharkhand, India
3 Dept. of Environmental Science & Engineering, Indian School of Mines (ISM), Dhanbad-826004, Jharkhand, India
4 Regional Remote Sensing Centre West, NRSC, ISRO, Jodhpur - 342003 Rajasthan, India
5 Jharkhand Space Applications Center, Dept. of Information Technology, Govt. of Jharkhand, Ranchi- 834004, Jharkhand, India
Original language: English
Copyright © 2014 ISSR Journals. 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.
Abstract
Land surface temperature (LST) is important factor in surface feature mapping, analysis, and estimation of emissivity and heat balance studies. The knowledge of surface temperature is important for various applications in Remote sensing field. Feature mapping and analysis can be done according to their emissivity and brightness temperature. In this investigation an attempt has been made to estimate surface temperature from ASTER and to use the relationship between aster thermal bands for feature mapping. ASTER has 5 thermal bands (wave length ranging from 8.125µm to 11.65µm) and these are used in comparison. ASTER thermal bands have been used to convert digital numbers to exoatmospheric radiance using published ASTER user manual gains and offsets. The exoatmospheric radiance is then converted to surface radiance by applying the Emissivity Normalization method, assuming the emissivity of the Investigation area is constant (0.96, the emissivity of urban areas).The surface temperature is then extracted from the surface radiance, based on ASTER images of May 2007.The extracted temperature data were compared to individual ASTER temperature bands. A positive correlation has been found from this comparison.
Author Keywords: LST (Land surface temperature), TOA (Top of the atmosphere).
How to Cite this Article
Krishnendu Banerjee, Surajit Panda, Dr. Manish Kumar Jain, Dr. A.T Jeyaseelan, and Ratnesh Kr. Sharma, “Comparison of Aster Thermal Bands and feature Identification Using Advance Spectroscopic Techniques,” International Journal of Innovation and Scientific Research, vol. 7, no. 1, pp. 11–18, August 2014.
