A simple model for estimation of snow/ice surface temperature of Antarctic ice sheet using remotely sensed thermal band data
In this paper a model has been developed to estimate surface temperature of Antarctic ice sheet using thermal bands of MODIS sensor images and in situ surface temperature measurements. The brightness temperature of snow/ice surface of Antarctica has been estimated for MODIS bands 31 and 32 using Pla...
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Indian Journal of Radio & Space Physics (IJRSP)
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ftnsdlindiaojs:oai:ojs.localhost:article/6612 2023-05-15T13:58:41+02:00 A simple model for estimation of snow/ice surface temperature of Antarctic ice sheet using remotely sensed thermal band data GUSAIN, Hemendra Singh Mishra, Varunendra Dutta Brar, Gursewak Singh Ganju, Ashwagosha Defence Research Development Organisation 2017-01-04 application/pdf http://op.niscair.res.in/index.php/IJRSP/article/view/6612 en eng Indian Journal of Radio & Space Physics (IJRSP) http://op.niscair.res.in/index.php/IJRSP/article/view/6612 Except where otherwise noted, the Articles on this site are licensed underCreative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India© 2012. The Council of Scientific & Industrial Research, New Delhi. CC-BY-NC-ND Indian Journal of Radio & Space Physics (IJRSP); Vol 44, No 1 (2015): Indian Journal of Radio & Space Physics; 51-55 Remote Sensing Cryosphere Snow Ice Surface temperature Antarctica Thermal bands MODIS 2017 ftnsdlindiaojs 2021-08-08T14:39:46Z In this paper a model has been developed to estimate surface temperature of Antarctic ice sheet using thermal bands of MODIS sensor images and in situ surface temperature measurements. The brightness temperature of snow/ice surface of Antarctica has been estimated for MODIS bands 31 and 32 using Planck’s spectral radiation equation. Split window technique has been used to develop the model from brightness temperature and automatic weather station recorded surface temperature. The model has been validated using in situ measurements of surface temperature of the ice sheet near Indian Antarctic Research Station ‘Maitri’. High coefficient of determination (R2 = 0.99) and low root mean square error (0.8°C) have been obtained between modeled and in situ recorded surface temperature. The model is easy to use and can generate the surface temperature maps at spatial resolution of 1.0 km. These maps can be useful in various glaciological, hydrological, climatological and ecological study of the ice sheet. Other/Unknown Material Antarc* Antarctic Antarctica Ice Sheet Online Publishing @ NISCAIR Antarctic Indian Maitri ENVELOPE(11.733,11.733,-70.764,-70.764) |
institution |
Open Polar |
collection |
Online Publishing @ NISCAIR |
op_collection_id |
ftnsdlindiaojs |
language |
English |
topic |
Remote Sensing Cryosphere Snow Ice Surface temperature Antarctica Thermal bands MODIS |
spellingShingle |
Remote Sensing Cryosphere Snow Ice Surface temperature Antarctica Thermal bands MODIS GUSAIN, Hemendra Singh Mishra, Varunendra Dutta Brar, Gursewak Singh Ganju, Ashwagosha A simple model for estimation of snow/ice surface temperature of Antarctic ice sheet using remotely sensed thermal band data |
topic_facet |
Remote Sensing Cryosphere Snow Ice Surface temperature Antarctica Thermal bands MODIS |
description |
In this paper a model has been developed to estimate surface temperature of Antarctic ice sheet using thermal bands of MODIS sensor images and in situ surface temperature measurements. The brightness temperature of snow/ice surface of Antarctica has been estimated for MODIS bands 31 and 32 using Planck’s spectral radiation equation. Split window technique has been used to develop the model from brightness temperature and automatic weather station recorded surface temperature. The model has been validated using in situ measurements of surface temperature of the ice sheet near Indian Antarctic Research Station ‘Maitri’. High coefficient of determination (R2 = 0.99) and low root mean square error (0.8°C) have been obtained between modeled and in situ recorded surface temperature. The model is easy to use and can generate the surface temperature maps at spatial resolution of 1.0 km. These maps can be useful in various glaciological, hydrological, climatological and ecological study of the ice sheet. |
author2 |
Defence Research Development Organisation |
author |
GUSAIN, Hemendra Singh Mishra, Varunendra Dutta Brar, Gursewak Singh Ganju, Ashwagosha |
author_facet |
GUSAIN, Hemendra Singh Mishra, Varunendra Dutta Brar, Gursewak Singh Ganju, Ashwagosha |
author_sort |
GUSAIN, Hemendra Singh |
title |
A simple model for estimation of snow/ice surface temperature of Antarctic ice sheet using remotely sensed thermal band data |
title_short |
A simple model for estimation of snow/ice surface temperature of Antarctic ice sheet using remotely sensed thermal band data |
title_full |
A simple model for estimation of snow/ice surface temperature of Antarctic ice sheet using remotely sensed thermal band data |
title_fullStr |
A simple model for estimation of snow/ice surface temperature of Antarctic ice sheet using remotely sensed thermal band data |
title_full_unstemmed |
A simple model for estimation of snow/ice surface temperature of Antarctic ice sheet using remotely sensed thermal band data |
title_sort |
simple model for estimation of snow/ice surface temperature of antarctic ice sheet using remotely sensed thermal band data |
publisher |
Indian Journal of Radio & Space Physics (IJRSP) |
publishDate |
2017 |
url |
http://op.niscair.res.in/index.php/IJRSP/article/view/6612 |
long_lat |
ENVELOPE(11.733,11.733,-70.764,-70.764) |
geographic |
Antarctic Indian Maitri |
geographic_facet |
Antarctic Indian Maitri |
genre |
Antarc* Antarctic Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet |
op_source |
Indian Journal of Radio & Space Physics (IJRSP); Vol 44, No 1 (2015): Indian Journal of Radio & Space Physics; 51-55 |
op_relation |
http://op.niscair.res.in/index.php/IJRSP/article/view/6612 |
op_rights |
Except where otherwise noted, the Articles on this site are licensed underCreative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India© 2012. The Council of Scientific & Industrial Research, New Delhi. |
op_rightsnorm |
CC-BY-NC-ND |
_version_ |
1766267024057565184 |