Statistical information of ASAR observations over wetland areas: An interaction model interpretation
This paper presents the results obtained after studying the relation between the statistical parameters that describe the backscattering distribution of junco marshes and their biophysical variables. The results are based on the texture analysis of a time series of Envisat ASAR C-band data (APP mode...
Guardado en:
| Autor principal: | |
|---|---|
| Otros Autores: | , , , , , |
| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
2010
|
| Materias: | |
| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 10947caa a22011777a 4500 | ||
|---|---|---|---|
| 001 | PAPER-8175 | ||
| 003 | AR-BaUEN | ||
| 005 | 20250428092146.0 | ||
| 008 | 190411s2010 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-73149105084 | |
| 030 | |a IRSEE | ||
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Grings, Francisco Matías | |
| 245 | 1 | 0 | |a Statistical information of ASAR observations over wetland areas: An interaction model interpretation |
| 260 | |c 2010 | ||
| 270 | 1 | 0 | |m Grings, F.; Instituto de Astronomía y Física del Espacio (IAFE), Ciudad Universitaria, 1428 Buenos Aires, Argentina; email: verderis@iafe.uba.ar |
| 504 | |a Alsdorf, D.E., 2002. Interferometric SAR observations of water level changes: Potential targets for future repeat-pass AIRSAR missions. In: AIRSAR Earth Science and Application Workshop, http://airsar.jpl.nasa.gov/documents/workshop2002/papers/H6.pdf (Ac cessed 25. 08. 09); Arihood, B.E., Sidle, W., Hydrologic characteristics of a managed wetland and a natural riverine wetland along the Kankakee River in northwestern Indiana. Technical report (2006) US Geological Survey Scientific Investigations Report, p. 78. , Report Number: 2006-5222, p | ||
| 504 | |a Blacknell, D., Comparison of parameter estimators for K-distribution (1994) IEEE Proceedings on Radar, Sonar & Navigation, 141 (I), pp. 45-52 | ||
| 504 | |a Bracaglia, M., Ferrazzoli, P., Guerriero, L., A fully polarimetric multiple scattering model for agricultural fields. IGARSS, 1995, Quantitative remote sensing for science and applications: Congress Center, Firenze, Italy, 10-14 July 1995 (1995) by International Geoscience and Remote Sensing Symposium, 2, pp. 1339-1345 | ||
| 504 | |a Coe, M., Modelling terrestrial hydrological systems at the continental scale: Testing the accuracy of an atmospheric GCM (2000) Journal of Climate, 13 (4), pp. 686-704 | ||
| 504 | |a Cribari-Neto, F., Frery, A.C., Silva, M.F.F., Improved estimation of clutter properties in speckled imagery (2002) Computational Statistics and Data Analysis, 40 (4), pp. 801-824 | ||
| 504 | |a Jakeman, E., Pusey, P., A model of non-Rayleigh sea echo (1976) IEEE Transactions of Antennas and Propagation, 24 (6), pp. 806-814 | ||
| 504 | |a El-Rayes, M.A., Ulaby, F.T., Microwave dielectric spectrum of vegetation - Part I: Experimental observations (1987) IEEE Transactions on Geoscience and Remote Sensing GE, 25 (5), pp. 541-549 | ||
| 504 | |a Frery, A., Muller, H., Yanasse, C., Sant Anna, S., A model for extremely heterogeneous clutter (1997) IEEE Transactions on Geoscience and Remote Sensing, 35 (3), pp. 648-659 | ||
| 504 | |a Grings, F., Ferrazzoli, P., Karszenbaum, H., Tiffenberg, J., Kandus, P., Guerriero, L., Jacobo-Berrles, J., Modeling temporal evolution of junco marshes radar signatures (2005) IEEE Transactions on Geoscience and Remote Sensing, 43 (10), pp. 2238-2245 | ||
| 504 | |a Grings, F., Ferrazzoli, P., Jacobo-Berlles, J., 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.M., 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 (2008) International Journal of Remote Sensing, 29 (17-18), pp. 5361-5372 | ||
| 504 | |a Grings, F.M., Salvia, M., Karszenbaum, H., Ferrazzoli, P., Kandus, P., Perna, P., Exploring the capacity of radar to estimate wetland marshes water storage (2009) Journal of Environmental Management, 90 (7), pp. 2189-2198 | ||
| 504 | |a Järvelä, J., 2004. Flow resistance in environmental channels: Focus on vegetation. Helsinki University of Technology Water Resources Publications. Espoo 2004, TKK-VTR-10. http://lib.tkk.fi/Diss/2004/isbn9512270749/ (accessed 25. 08. 09); Karam, M.A., Fung, A.K., Electromagnetic scattering from a layer of finite length, randomly oriented, dielectric, circular cylinders over a rough interface with application to vegetation (1988) International Journal of Remote Sensing, 9 (6), pp. 1109-1134 | ||
| 504 | |a Keedy, P., (2000) Wetland Ecology. Principles and Conservation, , Cambridge University press, Cambridge, UK 614 pp. ISBN 0521783674, paperback | ||
| 504 | |a Lee, J.S., Schuler, D.L., Lang, R.H., Ranson, K.J., K-distribution for multi-look processed polarimetric SAR imagery (1994) Geoscience and Remote Sensing Symposium, 1994. IGARSS'94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation, 4 (8-12), pp. 2179-2181 | ||
| 504 | |a Nepf, H., Koch, E., Vertical secondary flows in submersed plant-like arrays (1999) Limnology and Oceanography, 44 (4), pp. 1072-1080 | ||
| 504 | |a Novitzki, R.P., Fretwell, J., 2002. Restoration, Creation, and Recovery of Wetlands: Wetland Functions, Values, and Assessment. Technical report, United States Geological Survey Water Supply Paper 2425. http://water.usgs.gov/nwsum/WSP2425/functions.html (accessed 25. 08. 09); Oliver, C., Quegan, S., Understanding Synthetic Aperture Radar Images (1998) Artech House Remote Sensing Library, , Artech House Publishers | ||
| 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 (2), pp. 175-186 | ||
| 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 (2), pp. 157-166 | ||
| 504 | |a Richey, J.E., Mertes, L.A.K., Dunne, T., Victoria, R.L., Forsberg, B.R., Oliveira, E., Sources and routing of the Amazon river flood wave (1989) Global Biogeochemical Cycles, 3 (3), pp. 191-204 | ||
| 504 | |a Stone, B., Hung, T.S., Hydraulic resistance of flow in channels with cylindrical roughness (2002) Journal of hydraulic engineering, 128 (5), pp. 500-506 | ||
| 504 | |a Wang, H., Ouchi, K., The relation between the order parameter of K-distribution in high-resolution polarimetric SAR data and forest biomass (2005) Geoscience and Remote Sensing Symposium, 2005. IGARSS'05. Proceedings, 6, pp. 4339-4342. , 25-29 July | ||
| 504 | |a Yanasse, C.C.F., Frery, A.C., Sant'Anna, S.J.S., Dutra, L.V., On the use of multilook amplitude K distribution for SAR image analysis (1994) Geoscience and Remote Sensing Symposium, 1994. IGARSS'94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation, 4, pp. 2173-2175. , International, 8-12 Aug, pp | ||
| 506 | |2 openaire |e Política editorial | ||
| 520 | 3 | |a This paper presents the results obtained after studying the relation between the statistical parameters that describe the backscattering distribution of junco marshes and their biophysical variables. The results are based on the texture analysis of a time series of Envisat ASAR C-band data (APP mode, V V +HH polarizations) acquired between October 2003 and January 2005 over the Lower Paraná River Delta, Argentina. The image power distributions were analyzed, and we show that the K distribution provides a good fitting of SAR data extracted from wetland observations for both polarizations. We also show that the estimated values of the order parameter of the K distribution can be explained using fieldwork and reasonable assumptions. In order to explore these results, we introduce a radiative transfer based interaction model to simulate the junco marsh σ 0 distribution. After analyzing model simulations, we found evidence that the order parameter is related to the junco plant density distribution inside the junco marsh patch. It is concluded that the order parameter of the K distribution could be a useful parameter to estimate the junco plant density. This result is important for basin hydrodynamic modeling, since marsh plant density is the most important parameter to estimate marsh water conductance. © 2009 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). |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), Dpto. de Computación - Ciudad Universitaria, Pab. I, 1428 Buenos Aires, Argentina | ||
| 651 | 4 | |a ARGENTINA | |
| 690 | 1 | 0 | |a ECOLOGY |
| 690 | 1 | 0 | |a FLOODS |
| 690 | 1 | 0 | |a HYDROLOGY |
| 690 | 1 | 0 | |a SAR |
| 690 | 1 | 0 | |a STATISTICS |
| 690 | 1 | 0 | |a BIO-PHYSICAL VARIABLES |
| 690 | 1 | 0 | |a ENVISAT ASAR |
| 690 | 1 | 0 | |a HYDRODYNAMIC MODELING |
| 690 | 1 | 0 | |a INTERACTION MODEL |
| 690 | 1 | 0 | |a K DISTRIBUTION |
| 690 | 1 | 0 | |a MODEL SIMULATION |
| 690 | 1 | 0 | |a ORDER PARAMETER |
| 690 | 1 | 0 | |a PLANT DENSITIES |
| 690 | 1 | 0 | |a POWER DISTRIBUTIONS |
| 690 | 1 | 0 | |a RIVER DELTAS |
| 690 | 1 | 0 | |a SAR |
| 690 | 1 | 0 | |a SAR DATA |
| 690 | 1 | 0 | |a STATISTICAL INFORMATION |
| 690 | 1 | 0 | |a STATISTICAL PARAMETERS |
| 690 | 1 | 0 | |a TEXTURE ANALYSIS |
| 690 | 1 | 0 | |a WETLAND AREA |
| 690 | 1 | 0 | |a FLOODS |
| 690 | 1 | 0 | |a IMAGE PROCESSING |
| 690 | 1 | 0 | |a POLARIZATION |
| 690 | 1 | 0 | |a SYNTHETIC APERTURES |
| 690 | 1 | 0 | |a TIME SERIES |
| 690 | 1 | 0 | |a TIME SERIES ANALYSIS |
| 690 | 1 | 0 | |a WATER |
| 690 | 1 | 0 | |a WETLANDS |
| 690 | 1 | 0 | |a BASIN ANALYSIS |
| 690 | 1 | 0 | |a BIOPHYSICS |
| 690 | 1 | 0 | |a ECOLOGICAL MODELING |
| 690 | 1 | 0 | |a ENVISAT-1 |
| 690 | 1 | 0 | |a HYDRAULIC CONDUCTIVITY |
| 690 | 1 | 0 | |a HYDROLOGICAL MODELING |
| 690 | 1 | 0 | |a HYDROLOGY |
| 690 | 1 | 0 | |a MARSH |
| 690 | 1 | 0 | |a POPULATION DENSITY |
| 690 | 1 | 0 | |a RADIATIVE TRANSFER |
| 690 | 1 | 0 | |a SHRUB |
| 690 | 1 | 0 | |a TEXTURE |
| 690 | 1 | 0 | |a WETLAND |
| 700 | 1 | |a Salvia, M. | |
| 700 | 1 | |a Karszenbaum, H. | |
| 700 | 1 | |a Ferrazzoli, P. | |
| 700 | 1 | |a Perna, P. | |
| 700 | 1 | |a Barber, M. | |
| 700 | 1 | |a Jacobo Berlles, J. | |
| 773 | 0 | |d 2010 |g v. 65 |h pp. 77-85 |k n. 1 |p ISPRS J. Photogramm. Remote Sens. |x 09242716 |w (AR-BaUEN)CENRE-5370 |t ISPRS Journal of Photogrammetry and Remote Sensing | |
| 856 | 4 | 1 | |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-73149105084&doi=10.1016%2fj.isprsjprs.2009.08.003&partnerID=40&md5=8700e9c1271b2786aa3ba7c17d06b3a2 |y Registro en Scopus |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.isprsjprs.2009.08.003 |y DOI |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_09242716_v65_n1_p77_Grings |y Handle |
| 856 | 4 | 0 | |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09242716_v65_n1_p77_Grings |y Registro en la Biblioteca Digital |
| 961 | |a paper_09242716_v65_n1_p77_Grings |b paper |c PE | ||
| 962 | |a info:eu-repo/semantics/article |a info:ar-repo/semantics/artículo |b info:eu-repo/semantics/publishedVersion | ||
| 999 | |c 69128 | ||