Advances in radar remote sensing of wetland ecosystems: Combination of satellite observations, field data and EM models

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This paper focuses on the results obtained in the analysis of temporal series of ERS-2, RADARSAT-1 SAR and ENVISAT ASAR data acquired over wetland ecosystems of Argentina. The complete data set includes RADARSAT 1 images of 1997-98 that show an El Niño phenomenon, an ERS 2 temporal set covering 1999...

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Autores principales: Karszenbaum, H., Ferrazzoli, P., Grings, F.M., Salvia, M., Kandus, P., Perna, P.
Formato: CONF
Materias:
Biomass
Data structures
Ecosystems
Precipitation (chemical)
Water levels
Wetlands
Incidence angles
Radar signature
Temporal sets
Remote sensing
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03796566_v_nSP-634_p_Karszenbaum
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_03796566_v_nSP-634_p_Karszenbaum
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spelling todo:paper_03796566_v_nSP-634_p_Karszenbaum2023-10-03T15:33:38Z Advances in radar remote sensing of wetland ecosystems: Combination of satellite observations, field data and EM models Karszenbaum, H. Ferrazzoli, P. Grings, F.M. Salvia, M. Kandus, P. Perna, P. Biomass Data structures Ecosystems Precipitation (chemical) Water levels Wetlands Incidence angles Radar signature Temporal sets Remote sensing This paper focuses on the results obtained in the analysis of temporal series of ERS-2, RADARSAT-1 SAR and ENVISAT ASAR data acquired over wetland ecosystems of Argentina. The complete data set includes RADARSAT 1 images of 1997-98 that show an El Niño phenomenon, an ERS 2 temporal set covering 1999-2000 that shows the effect of burnt biomass and its recovery on the radar signature, and a temporal set of ASAR data which includes images acquired under different polarizations and incidence angles as well as different environmental conditions (water level, precipitation, and vegetation condition). Two marsh species, named junco and cortadera, were monitored. This overall data set is giving us the possibility of studying and understanding the basic interactions between the radar, the soil under different flood conditions, and the vegetation structure. The comprehension of the observed features was addressed through EM models development for these ecosystems. Fil:Karszenbaum, H. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Grings, F.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Salvia, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Kandus, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Perna, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03796566_v_nSP-634_p_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 Biomass
Data structures
Ecosystems
Precipitation (chemical)
Water levels
Wetlands
Incidence angles
Radar signature
Temporal sets
Remote sensing
spellingShingle Biomass
Data structures
Ecosystems
Precipitation (chemical)
Water levels
Wetlands
Incidence angles
Radar signature
Temporal sets
Remote sensing
Karszenbaum, H.
Ferrazzoli, P.
Grings, F.M.
Salvia, M.
Kandus, P.
Perna, P.
Advances in radar remote sensing of wetland ecosystems: Combination of satellite observations, field data and EM models
topic_facet Biomass
Data structures
Ecosystems
Precipitation (chemical)
Water levels
Wetlands
Incidence angles
Radar signature
Temporal sets
Remote sensing
description This paper focuses on the results obtained in the analysis of temporal series of ERS-2, RADARSAT-1 SAR and ENVISAT ASAR data acquired over wetland ecosystems of Argentina. The complete data set includes RADARSAT 1 images of 1997-98 that show an El Niño phenomenon, an ERS 2 temporal set covering 1999-2000 that shows the effect of burnt biomass and its recovery on the radar signature, and a temporal set of ASAR data which includes images acquired under different polarizations and incidence angles as well as different environmental conditions (water level, precipitation, and vegetation condition). Two marsh species, named junco and cortadera, were monitored. This overall data set is giving us the possibility of studying and understanding the basic interactions between the radar, the soil under different flood conditions, and the vegetation structure. The comprehension of the observed features was addressed through EM models development for these ecosystems.
format CONF
author Karszenbaum, H.
Ferrazzoli, P.
Grings, F.M.
Salvia, M.
Kandus, P.
Perna, P.
author_facet Karszenbaum, H.
Ferrazzoli, P.
Grings, F.M.
Salvia, M.
Kandus, P.
Perna, P.
author_sort Karszenbaum, H.
title Advances in radar remote sensing of wetland ecosystems: Combination of satellite observations, field data and EM models
title_short Advances in radar remote sensing of wetland ecosystems: Combination of satellite observations, field data and EM models
title_full Advances in radar remote sensing of wetland ecosystems: Combination of satellite observations, field data and EM models
title_fullStr Advances in radar remote sensing of wetland ecosystems: Combination of satellite observations, field data and EM models
title_full_unstemmed Advances in radar remote sensing of wetland ecosystems: Combination of satellite observations, field data and EM models
title_sort advances in radar remote sensing of wetland ecosystems: combination of satellite observations, field data and em models
url http://hdl.handle.net/20.500.12110/paper_03796566_v_nSP-634_p_Karszenbaum
work_keys_str_mv AT karszenbaumh advancesinradarremotesensingofwetlandecosystemscombinationofsatelliteobservationsfielddataandemmodels
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AT gringsfm advancesinradarremotesensingofwetlandecosystemscombinationofsatelliteobservationsfielddataandemmodels
AT salviam advancesinradarremotesensingofwetlandecosystemscombinationofsatelliteobservationsfielddataandemmodels
AT kandusp advancesinradarremotesensingofwetlandecosystemscombinationofsatelliteobservationsfielddataandemmodels
AT pernap advancesinradarremotesensingofwetlandecosystemscombinationofsatelliteobservationsfielddataandemmodels
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