Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2

The inclusion of functional approaches on wetland characterizations and on biodiversity assessments improves our understanding of ecosystem functioning. In the Lower Paraná River floodplain, we assessed the ability of C-band polarimetric SAR data of contrasting incidence angles to discriminate wetla...

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Publicado: 2016
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20724292_v8_n3_p_Morandeira
http://hdl.handle.net/20.500.12110/paper_20724292_v8_n3_p_Morandeira
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spelling paper:paper_20724292_v8_n3_p_Morandeira2023-06-08T16:34:10Z Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2 Incidence angle Macrophytes Marshes Polarimetric decompositions SAR polarimetry Wishart classification Banks (bodies of water) Biodiversity Climate change Floods Plants (botany) Polarimeters Vegetation Wetlands Incidence angles Macrophytes Marshes Polarimetric decomposition SAR polarimetry Wishart Synthetic aperture radar The inclusion of functional approaches on wetland characterizations and on biodiversity assessments improves our understanding of ecosystem functioning. In the Lower Paraná River floodplain, we assessed the ability of C-band polarimetric SAR data of contrasting incidence angles to discriminate wetland areas dominated by different plant functional types (PFTs). Unsupervised H/α and H/A/α Wishart classifications were implemented on two RADARSAT-2 images differing in their incidence angles (FQ24 and FQ08). Obtained classes were assigned to the information classes (open water, bare soil and PFTs) by a priori labeling criteria that involved the expected interaction mechanisms between SAR signal and PFTs as well as the relative values of H and α. The product obtained with the shallow incidence angle scene had a higher accuracy than the one obtained with the steep incidence angle product (61.5% vs. 46.2%). We show how a systematic analysis of the H/A/α space can be used to improve the knowledge about the radar polarimetric response of herbaceous vegetation. The map obtained provides novel ecologically relevant information about plant strategies dominating the floodplain. Since the obtained classes can be interpreted in terms of their functional features, the approach is a valuable tool for predicting vegetation response to floods, anthropic impacts and climate change. © 2016 by the authors. 2016 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20724292_v8_n3_p_Morandeira http://hdl.handle.net/20.500.12110/paper_20724292_v8_n3_p_Morandeira
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Incidence angle
Macrophytes
Marshes
Polarimetric decompositions
SAR polarimetry
Wishart classification
Banks (bodies of water)
Biodiversity
Climate change
Floods
Plants (botany)
Polarimeters
Vegetation
Wetlands
Incidence angles
Macrophytes
Marshes
Polarimetric decomposition
SAR polarimetry
Wishart
Synthetic aperture radar
spellingShingle Incidence angle
Macrophytes
Marshes
Polarimetric decompositions
SAR polarimetry
Wishart classification
Banks (bodies of water)
Biodiversity
Climate change
Floods
Plants (botany)
Polarimeters
Vegetation
Wetlands
Incidence angles
Macrophytes
Marshes
Polarimetric decomposition
SAR polarimetry
Wishart
Synthetic aperture radar
Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2
topic_facet Incidence angle
Macrophytes
Marshes
Polarimetric decompositions
SAR polarimetry
Wishart classification
Banks (bodies of water)
Biodiversity
Climate change
Floods
Plants (botany)
Polarimeters
Vegetation
Wetlands
Incidence angles
Macrophytes
Marshes
Polarimetric decomposition
SAR polarimetry
Wishart
Synthetic aperture radar
description The inclusion of functional approaches on wetland characterizations and on biodiversity assessments improves our understanding of ecosystem functioning. In the Lower Paraná River floodplain, we assessed the ability of C-band polarimetric SAR data of contrasting incidence angles to discriminate wetland areas dominated by different plant functional types (PFTs). Unsupervised H/α and H/A/α Wishart classifications were implemented on two RADARSAT-2 images differing in their incidence angles (FQ24 and FQ08). Obtained classes were assigned to the information classes (open water, bare soil and PFTs) by a priori labeling criteria that involved the expected interaction mechanisms between SAR signal and PFTs as well as the relative values of H and α. The product obtained with the shallow incidence angle scene had a higher accuracy than the one obtained with the steep incidence angle product (61.5% vs. 46.2%). We show how a systematic analysis of the H/A/α space can be used to improve the knowledge about the radar polarimetric response of herbaceous vegetation. The map obtained provides novel ecologically relevant information about plant strategies dominating the floodplain. Since the obtained classes can be interpreted in terms of their functional features, the approach is a valuable tool for predicting vegetation response to floods, anthropic impacts and climate change. © 2016 by the authors.
title Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2
title_short Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2
title_full Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2
title_fullStr Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2
title_full_unstemmed Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2
title_sort mapping plant functional types in floodplain wetlands: an analysis of c-band polarimetric sar data from radarsat-2
publishDate 2016
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20724292_v8_n3_p_Morandeira
http://hdl.handle.net/20.500.12110/paper_20724292_v8_n3_p_Morandeira
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