A SAR time series analysis toolbox for extracting fire affected areas in wetlands

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During the period 1999-2000 frequent fires occurred in the Delta of Paraná River, Buenos Aires, Argentina. A set of 13 ERS 2 images were collected within the frame of the ESA AO3 232 project. One of the basic concerns when trying to make use of these data for time series analysis is the need of tool...

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Autores principales: Karszenbaum, H., Tiffenberg, J., Grings, F., Martinez, J.M., Kandus, P., Pratolongo, P.
Formato: CONF
Materias:
Fires
Radiometric uncertainty
SAR
Temporal filter
Wetlands
Algorithms
Calibration
Computer software
Data reduction
Image analysis
Optical resolving power
Radar imaging
Radiometry
Signal filtering and prediction
Spatial variables measurement
Time series analysis
Image corregistration
Temporal filters
Synthetic aperture radar
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_NIS21423_v6_n_p4107_Karszenbaum
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_NIS21423_v6_n_p4107_Karszenbaum
record_format dspace
spelling todo:paper_NIS21423_v6_n_p4107_Karszenbaum2023-10-03T16:46:19Z A SAR time series analysis toolbox for extracting fire affected areas in wetlands Karszenbaum, H. Tiffenberg, J. Grings, F. Martinez, J.M. Kandus, P. Pratolongo, P. Fires Radiometric uncertainty SAR Temporal filter Wetlands Algorithms Calibration Computer software Data reduction Fires Image analysis Optical resolving power Radar imaging Radiometry Signal filtering and prediction Spatial variables measurement Time series analysis Wetlands Image corregistration Temporal filters Synthetic aperture radar During the period 1999-2000 frequent fires occurred in the Delta of Paraná River, Buenos Aires, Argentina. A set of 13 ERS 2 images were collected within the frame of the ESA AO3 232 project. One of the basic concerns when trying to make use of these data for time series analysis is the need of tools for calibration of the SAR data, image corregistration, reduction of the radiometric uncertainty, and creation of the specific change detection algorithm. This paper presents the efforts done toward setting a processing procedure for these tasks. It combines ESA SARtoolbox with software developed within ENVI-IDL environment that includes, image corregistration, a temporal filter for increasing the number of looks but avoiding a loss in spatial resolution, and a change detection algorithm that maps the observed increase-decrease in the SAR response due to fires in this area. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_NIS21423_v6_n_p4107_Karszenbaum
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Fires
Radiometric uncertainty
SAR
Temporal filter
Wetlands
Algorithms
Calibration
Computer software
Data reduction
Fires
Image analysis
Optical resolving power
Radar imaging
Radiometry
Signal filtering and prediction
Spatial variables measurement
Time series analysis
Wetlands
Image corregistration
Temporal filters
Synthetic aperture radar
spellingShingle Fires
Radiometric uncertainty
SAR
Temporal filter
Wetlands
Algorithms
Calibration
Computer software
Data reduction
Fires
Image analysis
Optical resolving power
Radar imaging
Radiometry
Signal filtering and prediction
Spatial variables measurement
Time series analysis
Wetlands
Image corregistration
Temporal filters
Synthetic aperture radar
Karszenbaum, H.
Tiffenberg, J.
Grings, F.
Martinez, J.M.
Kandus, P.
Pratolongo, P.
A SAR time series analysis toolbox for extracting fire affected areas in wetlands
topic_facet Fires
Radiometric uncertainty
SAR
Temporal filter
Wetlands
Algorithms
Calibration
Computer software
Data reduction
Fires
Image analysis
Optical resolving power
Radar imaging
Radiometry
Signal filtering and prediction
Spatial variables measurement
Time series analysis
Wetlands
Image corregistration
Temporal filters
Synthetic aperture radar
description During the period 1999-2000 frequent fires occurred in the Delta of Paraná River, Buenos Aires, Argentina. A set of 13 ERS 2 images were collected within the frame of the ESA AO3 232 project. One of the basic concerns when trying to make use of these data for time series analysis is the need of tools for calibration of the SAR data, image corregistration, reduction of the radiometric uncertainty, and creation of the specific change detection algorithm. This paper presents the efforts done toward setting a processing procedure for these tasks. It combines ESA SARtoolbox with software developed within ENVI-IDL environment that includes, image corregistration, a temporal filter for increasing the number of looks but avoiding a loss in spatial resolution, and a change detection algorithm that maps the observed increase-decrease in the SAR response due to fires in this area.
format CONF
author Karszenbaum, H.
Tiffenberg, J.
Grings, F.
Martinez, J.M.
Kandus, P.
Pratolongo, P.
author_facet Karszenbaum, H.
Tiffenberg, J.
Grings, F.
Martinez, J.M.
Kandus, P.
Pratolongo, P.
author_sort Karszenbaum, H.
title A SAR time series analysis toolbox for extracting fire affected areas in wetlands
title_short A SAR time series analysis toolbox for extracting fire affected areas in wetlands
title_full A SAR time series analysis toolbox for extracting fire affected areas in wetlands
title_fullStr A SAR time series analysis toolbox for extracting fire affected areas in wetlands
title_full_unstemmed A SAR time series analysis toolbox for extracting fire affected areas in wetlands
title_sort sar time series analysis toolbox for extracting fire affected areas in wetlands
url http://hdl.handle.net/20.500.12110/paper_NIS21423_v6_n_p4107_Karszenbaum
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