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...

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Published in:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Main Authors: Mishra, M. K., Rastogi, G., Chauhan, P.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2014
Subjects:
Online Access:https://doi.org/10.5194/isprsarchives-XL-8-277-2014
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spelling 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
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id 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
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