Operational Retrieval of aerosol optical depth over Indian subcontinent and Indian Ocean using INSAT-3D/Imager product validation
Aerosol optical depth (AOD) over Indian subcontinent and Indian Ocean region is derived operationally for the first time from the geostationary earth orbit (GEO) satellite INSAT-3D Imager data at 0.65 μm wavelength. Single visible channel algorithm based on clear sky composites gives larger retrieva...
Published in: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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Language: | English |
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Copernicus Publications
2014
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00018237 2023-05-15T13:06:37+02:00 Operational Retrieval of aerosol optical depth over Indian subcontinent and Indian Ocean using INSAT-3D/Imager product validation Mishra, M. K. Rastogi, G. Chauhan, P. 2014-11 electronic https://doi.org/10.5194/isprsarchives-XL-8-277-2014 https://noa.gwlb.de/receive/cop_mods_00018237 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00018192/isprsarchives-XL-8-277-2014.pdf https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-8/277/2014/isprsarchives-XL-8-277-2014.pdf eng eng Copernicus Publications ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences -- http://www.isprs.org/publications/archives.aspx -- 2194-9034 https://doi.org/10.5194/isprsarchives-XL-8-277-2014 https://noa.gwlb.de/receive/cop_mods_00018237 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00018192/isprsarchives-XL-8-277-2014.pdf https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-8/277/2014/isprsarchives-XL-8-277-2014.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2014 ftnonlinearchiv https://doi.org/10.5194/isprsarchives-XL-8-277-2014 2022-02-08T22:53:17Z Aerosol optical depth (AOD) over Indian subcontinent and Indian Ocean region is derived operationally for the first time from the geostationary earth orbit (GEO) satellite INSAT-3D Imager data at 0.65 μm wavelength. Single visible channel algorithm based on clear sky composites gives larger retrieval error in AOD than other multiple channel algorithms due to errors in estimating surface reflectance and atmospheric property. However, since MIR channel signal is insensitive to the presence of most aerosols, therefore in present study, AOD retrieval algorithm employs both visible (centred at 0.65 μm) and mid-infrared (MIR) band (centred at 3.9 μm) measurements, and allows us to monitor transport of aerosols at higher temporal resolution. Comparisons made between INSAT-3D derived AOD (τI) and MODIS derived AOD (τM) co-located in space (at 1° resolution) and time during January, February and March (JFM) 2014 encompasses 1165, 1052 and 900 pixels, respectively. Good agreement found between τI and τM during JFM 2014 with linear correlation coefficients (R) of 0.87, 0.81 and 0.76, respectively. The extensive validation made during JFM 2014 encompasses 215 co-located AOD in space and time derived by INSAT 3D (τI) and 10 sun-photometers (τA) that includes 9 AERONET (Aerosol Robotic Network) and 1 handheld sun-photometer site. INSAT-3D derived AOD i.e. τI, is found within the retrieval errors of τI = ±0.07 ±0.15τA with linear correlation coefficient (R) of 0.90 and root mean square error equal (RMSE) to 0.06. Present work shows that INSAT-3D aerosol products can be used quantitatively in many applications with caution for possible residual clouds, snow/ice, and water contamination. Article in Journal/Newspaper Aerosol Robotic Network Niedersächsisches Online-Archiv NOA Indian The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 277 282 |
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Niedersächsisches Online-Archiv NOA |
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ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Mishra, M. K. Rastogi, G. Chauhan, P. Operational Retrieval of aerosol optical depth over Indian subcontinent and Indian Ocean using INSAT-3D/Imager product validation |
topic_facet |
article Verlagsveröffentlichung |
description |
Aerosol optical depth (AOD) over Indian subcontinent and Indian Ocean region is derived operationally for the first time from the geostationary earth orbit (GEO) satellite INSAT-3D Imager data at 0.65 μm wavelength. Single visible channel algorithm based on clear sky composites gives larger retrieval error in AOD than other multiple channel algorithms due to errors in estimating surface reflectance and atmospheric property. However, since MIR channel signal is insensitive to the presence of most aerosols, therefore in present study, AOD retrieval algorithm employs both visible (centred at 0.65 μm) and mid-infrared (MIR) band (centred at 3.9 μm) measurements, and allows us to monitor transport of aerosols at higher temporal resolution. Comparisons made between INSAT-3D derived AOD (τI) and MODIS derived AOD (τM) co-located in space (at 1° resolution) and time during January, February and March (JFM) 2014 encompasses 1165, 1052 and 900 pixels, respectively. Good agreement found between τI and τM during JFM 2014 with linear correlation coefficients (R) of 0.87, 0.81 and 0.76, respectively. The extensive validation made during JFM 2014 encompasses 215 co-located AOD in space and time derived by INSAT 3D (τI) and 10 sun-photometers (τA) that includes 9 AERONET (Aerosol Robotic Network) and 1 handheld sun-photometer site. INSAT-3D derived AOD i.e. τI, is found within the retrieval errors of τI = ±0.07 ±0.15τA with linear correlation coefficient (R) of 0.90 and root mean square error equal (RMSE) to 0.06. Present work shows that INSAT-3D aerosol products can be used quantitatively in many applications with caution for possible residual clouds, snow/ice, and water contamination. |
format |
Article in Journal/Newspaper |
author |
Mishra, M. K. Rastogi, G. Chauhan, P. |
author_facet |
Mishra, M. K. Rastogi, G. Chauhan, P. |
author_sort |
Mishra, M. K. |
title |
Operational Retrieval of aerosol optical depth over Indian subcontinent and Indian Ocean using INSAT-3D/Imager product validation |
title_short |
Operational Retrieval of aerosol optical depth over Indian subcontinent and Indian Ocean using INSAT-3D/Imager product validation |
title_full |
Operational Retrieval of aerosol optical depth over Indian subcontinent and Indian Ocean using INSAT-3D/Imager product validation |
title_fullStr |
Operational Retrieval of aerosol optical depth over Indian subcontinent and Indian Ocean using INSAT-3D/Imager product validation |
title_full_unstemmed |
Operational Retrieval of aerosol optical depth over Indian subcontinent and Indian Ocean using INSAT-3D/Imager product validation |
title_sort |
operational retrieval of aerosol optical depth over indian subcontinent and indian ocean using insat-3d/imager product validation |
publisher |
Copernicus Publications |
publishDate |
2014 |
url |
https://doi.org/10.5194/isprsarchives-XL-8-277-2014 https://noa.gwlb.de/receive/cop_mods_00018237 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00018192/isprsarchives-XL-8-277-2014.pdf https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-8/277/2014/isprsarchives-XL-8-277-2014.pdf |
geographic |
Indian |
geographic_facet |
Indian |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences -- http://www.isprs.org/publications/archives.aspx -- 2194-9034 https://doi.org/10.5194/isprsarchives-XL-8-277-2014 https://noa.gwlb.de/receive/cop_mods_00018237 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00018192/isprsarchives-XL-8-277-2014.pdf https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-8/277/2014/isprsarchives-XL-8-277-2014.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/isprsarchives-XL-8-277-2014 |
container_title |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
XL-8 |
container_start_page |
277 |
op_container_end_page |
282 |
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1766013165524484096 |