Exploring the capacity of radar remote sensing to estimate wetland marshes water storage

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This paper focuses on the use of radar remote sensing for water storage estimation in wetland marshes of the Paraná River Delta in Argentina. The approach followed is based on the analysis of a temporal set of ENVISAT ASAR data which includes images acquired under different polarizations and inciden...

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Detalles Bibliográficos
Autor principal: Grings, Francisco Matías
Otros Autores: Salvia, M., Karszenbaum, H., Ferrazzoli, P., Kandus, P., Perna, P.
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2009
Materias:
RADAR
ARGENTINA
SOUTH AMERICA
Acceso en línea:Registro en Scopus
DOI
Handle
Registro en la Biblioteca Digital
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Central Dr. Luis F. Leloir (FCEN) de Universidad de Buenos Aires
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100 1 |a Grings, Francisco Matías 
245 1 0 |a Exploring the capacity of radar remote sensing to estimate wetland marshes water storage 
260 |c 2009 
270 1 0 |m Ferrazzoli, P.; Università di Roma Tor Vergata, Facoltà di Ingegneria, Dipartimento di Informatica, Via del Politecnico 1, 00133 Roma, Italy; email: ferrazzoli@disp.uniroma2.it 
504 |a Alsdorf, D.E., Interferometric SAR observations of water level changes: Potential targets for future repeat-pass AIRSAR missions (2002) AIRSAR Earth Science and Application Workshop 
504 |a Bach, H., Mauser, W., Methods and examples for remote sensing data assimilation in land surface process modelling (2003) IEEE Transactions on Geoscience and Remote Sensing, 41 (7), pp. 1629-1637. , 1 
504 |a Bracaglia, M., Ferrazzoli, P., Guerriero, L., A fully polarimetric multiple scattering model for crops (1995) Remote Sensing of Environment, 54, pp. 170-179 
504 |a Coe, M.T., Modeling terrestrial hydrological systems at the continental scale: testing the accuracy of an atmospheric GCM (2000) Journal of Climate, 13, pp. 686-704 
504 |a ESA, (2006) ASAR Product Handbook, , ESA 
504 |a Grings, F., Ferrazzoli, P., Jacobo Berlles, J.C., Karszenbaun, H., Tiffenberg, J., Kandus, P., Depine, R., Comparing capabilities of current C-band systems and future L-band Argentine SAR system in wetland studies (2004) 4th International Symposium on Retrieval of Bio- and Geo-physical Parameters from SAR Data for Land Applications, , Innsbruck 
504 |a Grings, F.M., Ferrazzoli, P., Karszenbaum, H., Tiffenberg, J., Kandus, P., Guerriero, L., Jacobo-Berlles, J.C., Temporal evolution of junco marshes radar signatures (2005) IEEE Transactions on Geoscience and Remote Sensing, 43 (10), pp. 2238-2245 
504 |a Grings, F.M., Ferrazzoli, P., Jacobo-Berlles, J.C., Karszenbaum, H., Tiffenberg, J., Pratolongo, P., Kandus, P., Monitoring flood condition in marshes using EM models and ENVISAT ASAR observations (2006) IEEE Transactions on Geoscience and Remote Sensing, 44 (4), pp. 936-942 
504 |a Grings, F., Ferrazzoli, P., Karszenbaum, H., Salvia, M., Kandus, P., Jacobo Berlles, J.C., Perna, P., Model investigation about the potential of C band SAR in herbaceous wetlands flood monitoring International Journal of Remote Sensing, , in press 
504 |a Hess, L.L., Melack, J.M., Filoso, S., Wang, Y., Delineation of inundated area and vegetation along the Amazon floodplain with the SIR-C synthetic aperture radar (1995) IEEE Transactions Geoscience and Remote Sensing., 33, pp. 896-902 
504 |a Junk, W.J., Bayley, P.B., Sparks, R.E., Flood pulse concept in river-floodplain systems (1989) Proceedings of the international large rivers symposium, Dodge, pp. 110-127 
504 |a Kandus, P., 1997. Análisis de los patrones de vegetación a escala regional en el Bajo Delta del Río Paraná (Argentina). Ph.D. Dissertation, Universidad de Buenos Aires, Buenos Aires, Argentina; Kandus, P., Málvarez, A.I., Madanes, N., Study on the herbaceous plant communities in the lower delta islands of the Paraná river (Argentina) (2003) Darwiniana, 41 (1-4), pp. 1-16 
504 |a Karszenbaum, H., Kandus, P., Martinez, J.M., Le Toan, T., Tiffenberg, J., Parmuchi, G., ERS-2, RADARSAT SAR backscattering characteristics of the Paraná River Delta wetlands, Argentina (2000) ERS-Envisat Symposium (ESA), ESA-SP-461 
504 |a Kasischke, E.S., Smith, K.B., Bourgeau-Chavez, L.L., Romanowicz, E.A., Brunzell, S., Richardson, C.J., Effects of the seasonal hydrologic patterns in South Florida wetlands on radar backsatter measured on ERS-2 SAR image (2003) Remote Sensing of Environment, 88, pp. 423-441 
504 |a Keddy, P.A., (2002) Wetland Ecology, , Cambridge University Press 
504 |a Parmuchi, M.G., Karszenbaum, H., Kandus, P., Mapping the Paraná River Delta wetland using multitemporal RADARSAT/SAR data and a decision based classifier (2002) Canadian Journal of Remote Sensing, 28, pp. 631-635 
504 |a Pope, K.O., Rejmankova, E., Paris, F.F., Woodruff, R., Detecting seasonal flooding cycles in marshes of the Yucatan peninsula with SIR-C polarimetric radar imagery (1997) Remote Sensing of Environment, 59, pp. 157-166 
504 |a Pratolongo, P., (2005) Dinámica de comunidades herbáceas del Bajo Delta del río Paraná sujetas a diferentes regímenes hidrológicos y su monitoreo mediante sensores remotos, , Ph.D. Dissertation, Universidad de Buenos Aires, Buenos Aires, Argentina 
504 |a Richey, J.E., Mertes, L.A.K., Dunne, T., Victoria, R.L., Forsberg, B.R., Tancredi, A.C.N.S., Oliveira, E., Sources and routing of the Amazon River flood wave (1989) Global Biogeochemical Cycles, 3, pp. 191-204 
504 |a Sang-Wan, Kim, Wdowinski, S., Amelung, F., Dixon, T.H., 2005. C-band interferometric SAR measurements of water level change in the wetlands: examples from Florida and Louisiana, International Geoscience and Remote Sensing Symposium, 2005 (IGARSS'05). Proceedings 2005 IEEE International 4, July 25-29, 2005, pp. 2708-2710 
506 |2 openaire  |e Política editorial 
520 3 |a This paper focuses on the use of radar remote sensing for water storage estimation in wetland marshes of the Paraná River Delta in Argentina. The approach followed is based on the analysis of a temporal set of ENVISAT 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 gave 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 electromagnetic models developed for these ecosystems. The procedure used in this work to estimate water level within marshes combines a direct electromagnetic model, field work data specifically obtained to feed the model, the actual ASAR measurements and a well known retrieval scheme based on a cost function. Results are validated with water level evaluations at specific points. A map showing an estimation of the water storage capacity and its error in junco and cortadera areas for the date where the investigation was done is also presented. © 2008 Elsevier Ltd. All rights reserved.  |l eng 
593 |a Instituto de Astronomía y Física del Espacio (IAFE), Ciudad Universitaria, 1428 Buenos Aires, Argentina 
593 |a Università di Roma Tor Vergata, Facoltà di Ingegneria, Dipartimento di Informatica, Via del Politecnico 1, 00133 Roma, Italy 
593 |a Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales (FCEyN), Departamento de Ecología, Genética y Evolución, Ciudad Universitaria, Pab. II, 1428 Buenos Aires, Argentina 
650 1 7 |2 spines  |a RADAR 
650 1 7 |2 spines  |a RADAR 
651 4 |a ARGENTINA 
651 4 |a ARGENTINA 
651 4 |a SOUTH AMERICA 
690 1 0 |a REMOTE SENSING 
690 1 0 |a WATER STORAGE 
690 1 0 |a WETLAND MARSHES 
690 1 0 |a RAIN 
690 1 0 |a WATER 
690 1 0 |a DATA SET 
690 1 0 |a ECOSYSTEM MODELING 
690 1 0 |a ELECTROMAGNETIC METHOD 
690 1 0 |a ENVISAT-1 
690 1 0 |a ESTIMATION METHOD 
690 1 0 |a IMAGE PROCESSING 
690 1 0 |a MARSH 
690 1 0 |a POLARIZATION 
690 1 0 |a RADAR IMAGERY 
690 1 0 |a REMOTE SENSING 
690 1 0 |a WATER LEVEL 
690 1 0 |a WATER STORAGE 
690 1 0 |a WETLAND 
690 1 0 |a ARTICLE 
690 1 0 |a ECOSYSTEM 
690 1 0 |a ELECTROMAGNETIC FIELD 
690 1 0 |a ENVIRONMENTAL MANAGEMENT 
690 1 0 |a ENVIRONMENTAL MONITORING 
690 1 0 |a FLOODING 
690 1 0 |a IMAGE ANALYSIS 
690 1 0 |a MARSH 
690 1 0 |a REMOTE SENSING 
690 1 0 |a RIVER 
690 1 0 |a SOIL ANALYSIS 
690 1 0 |a VEGETATION 
690 1 0 |a WATER FLOW 
690 1 0 |a WETLAND 
690 1 0 |a CONSERVATION OF NATURAL RESOURCES 
690 1 0 |a ENVIRONMENTAL MONITORING 
690 1 0 |a WATER MOVEMENTS 
690 1 0 |a WETLANDS 
690 1 0 |a PARANA DELTA 
700 1 |a Salvia, M. 
700 1 |a Karszenbaum, H. 
700 1 |a Ferrazzoli, P. 
700 1 |a Kandus, P. 
700 1 |a Perna, P. 
773 0 |d 2009  |g v. 90  |h pp. 2189-2198  |k n. 7  |p J. Environ. Manage.  |x 03014797  |w (AR-BaUEN)CENRE-754  |t Journal of Environmental Management 
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