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Abstract:

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.

Registro:

Documento: Artículo
Título:Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2
Autor:Morandeira, N.S.; Grings, F.; Facchinetti, C.; Kandus, P.
Filiación:Laboratorio de Ecología, Teledetección y Ecoinformática, Instituto de Investigación e Ingeniería Ambiental, Universidad Nacional de San Martín, 25 de Mayo and Francia S/N, General San Martín, Buenos Aires, 1650, Argentina
Consejo Nacional de Investigaciones Científicas y Técnicas, Godoy Cruz 2290, Ciudad Autónoma de Buenos Aires, 1425, Argentina
Grupo de Teledetección Cuantitativa, Instituto de Astronomía y Física del Espacio, Universidad de Buenos Aires-Consejo Nacional de Investigaciones Cientificas y Tecnicas, Intendente Güiraldes 2160, Ciudad Autónoma de Buenos Aires, 1428, Argentina
Agenzia Spaziale Italiana, Via del Politecnico snc, Rome, 00133, Italy
Instituto Gulich, Comisión Nacional de Actividades Espaciales, Ruta C45 km 8 Falda del Cañete, Córdoba, 5187, Argentina
Palabras clave: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
Año:2016
Volumen:8
Número:3
DOI: http://dx.doi.org/10.3390/rs8030174
Título revista:Remote Sensing
Título revista abreviado:Remote Sens.
ISSN:20724292
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_20724292_v8_n3_p_Morandeira

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Citas:

---------- APA ----------
Morandeira, N.S., Grings, F., Facchinetti, C. & Kandus, P. (2016) . Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2. Remote Sensing, 8(3).
http://dx.doi.org/10.3390/rs8030174
---------- CHICAGO ----------
Morandeira, N.S., Grings, F., Facchinetti, C., Kandus, P. "Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2" . Remote Sensing 8, no. 3 (2016).
http://dx.doi.org/10.3390/rs8030174
---------- MLA ----------
Morandeira, N.S., Grings, F., Facchinetti, C., Kandus, P. "Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2" . Remote Sensing, vol. 8, no. 3, 2016.
http://dx.doi.org/10.3390/rs8030174
---------- VANCOUVER ----------
Morandeira, N.S., Grings, F., Facchinetti, C., Kandus, P. Mapping plant functional types in floodplain wetlands: An analysis of C-band polarimetric SAR data from RADARSAT-2. Remote Sens. 2016;8(3).
http://dx.doi.org/10.3390/rs8030174