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...
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todo:paper_09242716_v65_n1_p77_Grings2023-10-03T15:45:58Z Statistical information of ASAR observations over wetland areas: An interaction model interpretation Grings, F. Salvia, M. Karszenbaum, H. Ferrazzoli, P. Perna, P. Barber, M. Jacobo Berlles, J. Ecology Floods Hydrology SAR Statistics Argentina Bio-physical variables ENVISAT ASAR Hydrodynamic modeling Interaction model K distribution Model simulation Order parameter Plant densities Power distributions River deltas SAR SAR data Statistical information Statistical parameters Texture analysis Wetland area Floods Image processing Polarization Synthetic apertures Time series Time series analysis Water Wetlands basin analysis biophysics ecological modeling Envisat-1 hydraulic conductivity hydrological modeling hydrology marsh population density radiative transfer shrub texture wetland 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). Fil:Grings, F. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Salvia, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Karszenbaum, H. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Perna, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Barber, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Jacobo Berlles, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_09242716_v65_n1_p77_Grings |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Ecology Floods Hydrology SAR Statistics Argentina Bio-physical variables ENVISAT ASAR Hydrodynamic modeling Interaction model K distribution Model simulation Order parameter Plant densities Power distributions River deltas SAR SAR data Statistical information Statistical parameters Texture analysis Wetland area Floods Image processing Polarization Synthetic apertures Time series Time series analysis Water Wetlands basin analysis biophysics ecological modeling Envisat-1 hydraulic conductivity hydrological modeling hydrology marsh population density radiative transfer shrub texture wetland |
| spellingShingle |
Ecology Floods Hydrology SAR Statistics Argentina Bio-physical variables ENVISAT ASAR Hydrodynamic modeling Interaction model K distribution Model simulation Order parameter Plant densities Power distributions River deltas SAR SAR data Statistical information Statistical parameters Texture analysis Wetland area Floods Image processing Polarization Synthetic apertures Time series Time series analysis Water Wetlands basin analysis biophysics ecological modeling Envisat-1 hydraulic conductivity hydrological modeling hydrology marsh population density radiative transfer shrub texture wetland Grings, F. Salvia, M. Karszenbaum, H. Ferrazzoli, P. Perna, P. Barber, M. Jacobo Berlles, J. Statistical information of ASAR observations over wetland areas: An interaction model interpretation |
| topic_facet |
Ecology Floods Hydrology SAR Statistics Argentina Bio-physical variables ENVISAT ASAR Hydrodynamic modeling Interaction model K distribution Model simulation Order parameter Plant densities Power distributions River deltas SAR SAR data Statistical information Statistical parameters Texture analysis Wetland area Floods Image processing Polarization Synthetic apertures Time series Time series analysis Water Wetlands basin analysis biophysics ecological modeling Envisat-1 hydraulic conductivity hydrological modeling hydrology marsh population density radiative transfer shrub texture wetland |
| description |
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). |
| format |
JOUR |
| author |
Grings, F. Salvia, M. Karszenbaum, H. Ferrazzoli, P. Perna, P. Barber, M. Jacobo Berlles, J. |
| author_facet |
Grings, F. Salvia, M. Karszenbaum, H. Ferrazzoli, P. Perna, P. Barber, M. Jacobo Berlles, J. |
| author_sort |
Grings, F. |
| title |
Statistical information of ASAR observations over wetland areas: An interaction model interpretation |
| title_short |
Statistical information of ASAR observations over wetland areas: An interaction model interpretation |
| title_full |
Statistical information of ASAR observations over wetland areas: An interaction model interpretation |
| title_fullStr |
Statistical information of ASAR observations over wetland areas: An interaction model interpretation |
| title_full_unstemmed |
Statistical information of ASAR observations over wetland areas: An interaction model interpretation |
| title_sort |
statistical information of asar observations over wetland areas: an interaction model interpretation |
| url |
http://hdl.handle.net/20.500.12110/paper_09242716_v65_n1_p77_Grings |
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1807318759902281728 |