Atmospheric correction assessment of SPOT-6 image and its influence on models to estimate water column transparency in tropical reservoir

Detalhes bibliográficos
Autor(a) principal: Rotta, Luiz H.S. [UNESP]
Data de Publicação: 2016
Outros Autores: Alcântara, Enner H. [UNESP], Watanabe, Fernanda S.Y. [UNESP], Rodrigues, Thanan W.P. [UNESP], Imai, Nilton N. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.rsase.2016.09.001
http://hdl.handle.net/11449/228205
Resumo: Remote sensing images have been increasingly used by its ability to collect data from extensive areas in a short time and with relatively low cost. Studies conducted in aquatic environments require great attention in relation to atmospheric correction, since the signal leaving water bodies is strongly attenuated. The present work aimed to assess the atmospheric correction of SPOT-6 image based on the variation of initial visibility parameter in FLAASH and analyze its influence on models to estimate Secchi depth (SD) and diffuse attenuation coefficient (Kd). The study was carried out in Nova Avanhandava Reservoir, which belongs to the chain of the Tietê River reservoirs (São Paulo, Brazil). The models calibration was based on remote sensing reflectance (Rrs) of simulated SPOT bands from data collected in the field. The best models were obtained using the band ratio Rrs(560 nm)/Rrs(660 nm) for SD (R2=92%, RMSE =11.45%) and the band Rrs(660 nm) for Kd (R2=92%, RMSE =11.98%). Maps of the spatial distribution of SD and Kd were made by applying the models on atmospherically corrected images. The main problem was the high amount of negative pixels when the suitable initial visibility value was not adopted in the atmospheric correction, which prevents the use of bio-optical models to retrieve limnological variables of the reservoir.
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spelling Atmospheric correction assessment of SPOT-6 image and its influence on models to estimate water column transparency in tropical reservoirDiffuse attenuation coefficient (Kd)FLAASHNova Avanhandava ReservoirSecchi depth (SD)VisibilityRemote sensing images have been increasingly used by its ability to collect data from extensive areas in a short time and with relatively low cost. Studies conducted in aquatic environments require great attention in relation to atmospheric correction, since the signal leaving water bodies is strongly attenuated. The present work aimed to assess the atmospheric correction of SPOT-6 image based on the variation of initial visibility parameter in FLAASH and analyze its influence on models to estimate Secchi depth (SD) and diffuse attenuation coefficient (Kd). The study was carried out in Nova Avanhandava Reservoir, which belongs to the chain of the Tietê River reservoirs (São Paulo, Brazil). The models calibration was based on remote sensing reflectance (Rrs) of simulated SPOT bands from data collected in the field. The best models were obtained using the band ratio Rrs(560 nm)/Rrs(660 nm) for SD (R2=92%, RMSE =11.45%) and the band Rrs(660 nm) for Kd (R2=92%, RMSE =11.98%). Maps of the spatial distribution of SD and Kd were made by applying the models on atmospherically corrected images. The main problem was the high amount of negative pixels when the suitable initial visibility value was not adopted in the atmospheric correction, which prevents the use of bio-optical models to retrieve limnological variables of the reservoir.São Paulo State University Department of CartographySão Paulo State University Department of CartographyUniversidade Estadual Paulista (UNESP)Rotta, Luiz H.S. [UNESP]Alcântara, Enner H. [UNESP]Watanabe, Fernanda S.Y. [UNESP]Rodrigues, Thanan W.P. [UNESP]Imai, Nilton N. [UNESP]2022-04-29T07:51:57Z2022-04-29T07:51:57Z2016-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article158-166http://dx.doi.org/10.1016/j.rsase.2016.09.001Remote Sensing Applications: Society and Environment, v. 4, p. 158-166.2352-9385http://hdl.handle.net/11449/22820510.1016/j.rsase.2016.09.0012-s2.0-84987981838Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing Applications: Society and Environmentinfo:eu-repo/semantics/openAccess2024-06-18T15:01:27Zoai:repositorio.unesp.br:11449/228205Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:01:27Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Atmospheric correction assessment of SPOT-6 image and its influence on models to estimate water column transparency in tropical reservoir
title Atmospheric correction assessment of SPOT-6 image and its influence on models to estimate water column transparency in tropical reservoir
spellingShingle Atmospheric correction assessment of SPOT-6 image and its influence on models to estimate water column transparency in tropical reservoir
Rotta, Luiz H.S. [UNESP]
Diffuse attenuation coefficient (Kd)
FLAASH
Nova Avanhandava Reservoir
Secchi depth (SD)
Visibility
title_short Atmospheric correction assessment of SPOT-6 image and its influence on models to estimate water column transparency in tropical reservoir
title_full Atmospheric correction assessment of SPOT-6 image and its influence on models to estimate water column transparency in tropical reservoir
title_fullStr Atmospheric correction assessment of SPOT-6 image and its influence on models to estimate water column transparency in tropical reservoir
title_full_unstemmed Atmospheric correction assessment of SPOT-6 image and its influence on models to estimate water column transparency in tropical reservoir
title_sort Atmospheric correction assessment of SPOT-6 image and its influence on models to estimate water column transparency in tropical reservoir
author Rotta, Luiz H.S. [UNESP]
author_facet Rotta, Luiz H.S. [UNESP]
Alcântara, Enner H. [UNESP]
Watanabe, Fernanda S.Y. [UNESP]
Rodrigues, Thanan W.P. [UNESP]
Imai, Nilton N. [UNESP]
author_role author
author2 Alcântara, Enner H. [UNESP]
Watanabe, Fernanda S.Y. [UNESP]
Rodrigues, Thanan W.P. [UNESP]
Imai, Nilton N. [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Rotta, Luiz H.S. [UNESP]
Alcântara, Enner H. [UNESP]
Watanabe, Fernanda S.Y. [UNESP]
Rodrigues, Thanan W.P. [UNESP]
Imai, Nilton N. [UNESP]
dc.subject.por.fl_str_mv Diffuse attenuation coefficient (Kd)
FLAASH
Nova Avanhandava Reservoir
Secchi depth (SD)
Visibility
topic Diffuse attenuation coefficient (Kd)
FLAASH
Nova Avanhandava Reservoir
Secchi depth (SD)
Visibility
description Remote sensing images have been increasingly used by its ability to collect data from extensive areas in a short time and with relatively low cost. Studies conducted in aquatic environments require great attention in relation to atmospheric correction, since the signal leaving water bodies is strongly attenuated. The present work aimed to assess the atmospheric correction of SPOT-6 image based on the variation of initial visibility parameter in FLAASH and analyze its influence on models to estimate Secchi depth (SD) and diffuse attenuation coefficient (Kd). The study was carried out in Nova Avanhandava Reservoir, which belongs to the chain of the Tietê River reservoirs (São Paulo, Brazil). The models calibration was based on remote sensing reflectance (Rrs) of simulated SPOT bands from data collected in the field. The best models were obtained using the band ratio Rrs(560 nm)/Rrs(660 nm) for SD (R2=92%, RMSE =11.45%) and the band Rrs(660 nm) for Kd (R2=92%, RMSE =11.98%). Maps of the spatial distribution of SD and Kd were made by applying the models on atmospherically corrected images. The main problem was the high amount of negative pixels when the suitable initial visibility value was not adopted in the atmospheric correction, which prevents the use of bio-optical models to retrieve limnological variables of the reservoir.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-01
2022-04-29T07:51:57Z
2022-04-29T07:51:57Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.rsase.2016.09.001
Remote Sensing Applications: Society and Environment, v. 4, p. 158-166.
2352-9385
http://hdl.handle.net/11449/228205
10.1016/j.rsase.2016.09.001
2-s2.0-84987981838
url http://dx.doi.org/10.1016/j.rsase.2016.09.001
http://hdl.handle.net/11449/228205
identifier_str_mv Remote Sensing Applications: Society and Environment, v. 4, p. 158-166.
2352-9385
10.1016/j.rsase.2016.09.001
2-s2.0-84987981838
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Remote Sensing Applications: Society and Environment
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 158-166
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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