Influence of flood conditions and vegetation status on the radar backscatter of wetland ecosystems

The aim of this paper is to assess the use of RADARSAT SAR data for wetland ecosystem identification considering the influence of target features (vegetation type, flood conditions, phenology, and fires), as well as sensor parameters (varying incidence angles). The Lower Delta islands of the Paraná...

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Autor principal: Kandus, P.
Otros Autores: Karszenbaum, H., Parmuchi, G., Bava, I.
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2001
Acceso en línea:Registro en Scopus
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024 7 |2 scopus  |a 2-s2.0-49849099703 
040 |a Scopus  |b spa  |c AR-BaUEN  |d AR-BaUEN 
100 1 |a Kandus, P. 
245 1 0 |a Influence of flood conditions and vegetation status on the radar backscatter of wetland ecosystems 
260 |c 2001 
506 |2 openaire  |e Política editorial 
504 |a Adam, S., Wiebe, J., Collins, M., Pietroniro, A., RADARSAT Flood Mapping in the Peace-Athabasca Delta, Canada (1998) Canadian Journal of Remote Sensing, 24 (iss I), pp. 69-79 
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504 |a Dobson, M.C., Ulaby, F.T., Pierce, L.E., Land-Cover Classification and Estimation of Terrain Attributes Using Synthetic Aperture Radar (1995) Remote Sensing of Environment, 51, pp. 199-214 
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504 |a Kandus, P., Karszenbaum, H., Frulla, L.A., Land cover classification system for the Lower Delta of the Parana River (Argentina): Its relationship with Landsat Thematic Mapper spectral classes (1999) Journal of Coastal Research, 15 (4), pp. 909-926 
504 |a Kandus, P., (1997) Analisis De Patrones De Vegetacion a Escala Regional En El Bajo Delta Del Rio Parana (Argentina, p. 200. , )”. Ph.D. Thesis Dissertation. Buenos Aires University, Argentina 
504 |a Karszenbaum, H., Kandus, P., Parmuchi, G., Bava, J., Evaluation of the effects of El Nino 98 in the Lower Delta Islands of Parana River using RADARSAT images and GIS tools (1999) Globesar-2 Final Symposium "RADARSAT Applications in Latin America”, pp. 240-245. , Buenos Aires, Argentina 
504 |a Karszenbaum, H., Kandus, P., Frulla, L.A., Milovich, J.A., Contribution of optical and SAR imagery in the identification and distribution of land cover features in the Lower Delta of Parana's River, Argentina (1998) Proceedings of the International Geoscience and Remote Sensing Symposium, , Seattle, Washington, USA, 6-10 July. IEEE Catalog No. 98CH36174 
504 |a Kasischke, E.S., Melak, J.M., Dobson, M.C., The Use of Imaging Radars for Ecological Applications - A Review (1997) Remote Sensing of Environment, 59, pp. 141-156 
504 |a Kasischke, E.S., Bourgeau-Chavez, L.L., Monitoring South Florida Wetlands Using ERS-I SAR Imagery (1997) Photogrammetric Engineering & Remote Sensing, 63 (3) 
504 |a Milovich, J.A., Frulla, L.A., Karszenbaum, H., Kandus, R., Ross, S., Procedures for Utilization of RADARSAT Standard Mode Path Images (2000) Submitted to Remote Sensing of Environment 
504 |a Noernberg, M.A., Novo, E.M., Krug, T., The Use of Biophysical Indices and Coefficient of Variation Derived from Airborne Synthetic Aperture Radar for Monitoring the Spread of Aquatic Vegetation in Tropical Reservoirs (1999) International Journal of Remote Sensing, 20 (1), pp. 67-82 
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504 |a Ribbes, F., Le Toan, T., Rice Field Mapping and Monitoring with RADARSAT Data (1999) International Journal of Remote Sensing, 20 (4), pp. 745-765 
504 |a Richards, J.A., Sun, G.-Q., Simonett, D.S., L-Band Backscatter Modeling of Forest Stands (1987) IEEE Transactions on Geoscience and Remote Sensing, GE25, 4, pp. 487-498 
504 |a Richards, J.A., Woodgate, P.W., Skidmore, A.K., An Explanation of Enhanced Backscattering from Flooded Forest (1987) International Journal of Remote Sensing, 8 (7), pp. 1093-1100 
504 |a Sanchez-Arcilla, A., Jimenez, J.A., Valdemoro, H.I., The Ebro Delta: Morphodynamics and Vulnerability (1998) Journal of Coastal Research, 14 (3), pp. 754-772 
504 |a Tandis, F.J., Bourgeau Chavez, L.L., Dobson, M.C., Applications of ERS-1 SAR for Coastal Inundation (1994) Proceedings of the International Geoscience and Remote Sensing Symposium, pp. 1481-1483. , Pasadena, California, 8-12 August. IEEE Catalog No. 94CH3378-7, IEEE New York 
504 |a Wang, Y., Day, J., Santa Barbara Microwave Backscattering Model for Woodlands (1993) International Journal of Remote Sensing, 14 (8), pp. 1477-1493 
504 |a Wang, Y., Kasischke, E.S., Melack, J.M., Davis, F.W., Christensen, N.L., The Effects of Changes in Loblolly Pine Biomass and Soil Moisture on ERS-1 SAR Backscatter (1994) Remote Sensing of Environment, 49, pp. 25-31 
504 |a Wang, Y., Hess, L.L., Filoso, S., Melack, J.M., Understanding the Radar Backscattering from Flooded and Nonflooded Amazonian Forests: Results from Canopy Backscatter Modeling (1995) Remote Sensing of Environment, 54, pp. 324-332 
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520 3 |a The aim of this paper is to assess the use of RADARSAT SAR data for wetland ecosystem identification considering the influence of target features (vegetation type, flood conditions, phenology, and fires), as well as sensor parameters (varying incidence angles). The Lower Delta islands of the Paraná River in Argentina were selected as the study area. Six SAR images acquired during the summer and winter of 1997 and 1998 were used. This set includes Standard Beams S1, S4 and S6 to account for the incidence angle effect. Radar backscatter of samples taken at known sites was analyzed. The forest backscatter signal shows temporal stability during summer and winter, either with leaf-on or leaf-off trees. On the contrary, backscattering from forest is strongly enhanced by underlying water. Radar returns were found to change from an attenuated signal to one dominated by double-bounce behaviour. In wetlands dominated by rushes, the dominant interaction mechanism may change from double-bounce to specular reflection due to flood. During normal water-level conditions, the ability to differentiate forest from herbaceous vegetation was found to decrease with increasing incidence angle. Under extreme flooding, radar backscattering decreases from steep to shallow incidence angles, about 3 dB for forest, and 4 dB for rushes. © 2001 Canadian Journal of Remote Sensing/Journal canadien de télédétection.  |l eng 
593 |a Laboratorio de Ecologia Regional Departamento de Biologia – Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires (UBA) Ciudad Universitaria, Pab. II 4to.Piso. (1428), Buenos Aires, Argentina 
593 |a CONICET Instituto de Astronomia y Fisica del Espacio (IAFE), Pabellon IAFE Ciudad Universitaria (1428), Buenos Aires, Argentina 
593 |a Applications Division, Canada Centre for Remote Sensing, 588 Booth Street, Ottawa, Canada 
700 1 |a Karszenbaum, H. 
700 1 |a Parmuchi, G. 
700 1 |a Bava, I. 
773 0 |d 2001  |g v. 27  |h pp. 663-668  |k n. 6  |p Can J Remote Sens  |x 07038992  |t Canadian Journal of Remote Sensing 
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856 4 0 |u https://doi.org/10.1080/07038992.2001.10854907  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_07038992_v27_n6_p663_Kandus  |y Handle 
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