2008
DOI: 10.1080/01431160802036409
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Model investigation about the potential of C band SAR in herbaceous wetlands flood monitoring

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Cited by 16 publications
(17 citation statements)
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“…The main input values to the model are summarized in Table 2. This microwave interaction model was successfully validated in previous works and it was used as a key component of a water level retrieval scheme in junco marshes [6,10,15]. Using this model, and the inputs of Table 2, it is possible to simulate σ 0 values of the junco marsh for intermediate JPD values.…”
Section: The Interaction Modelmentioning
confidence: 90%
See 3 more Smart Citations
“…The main input values to the model are summarized in Table 2. This microwave interaction model was successfully validated in previous works and it was used as a key component of a water level retrieval scheme in junco marshes [6,10,15]. Using this model, and the inputs of Table 2, it is possible to simulate σ 0 values of the junco marsh for intermediate JPD values.…”
Section: The Interaction Modelmentioning
confidence: 90%
“…The determination of marsh water storage capacity consists on the estimation of the volume of water inside the wetland as a function of time, and can be obtained using microwave remote sensing data [3,14]. This magnitude was previously estimated in the Paraná River wetland for flooded and nonflooded conditions using field data and ENVISAT ASAR images [4,15]. Characterization of the hydraulic conductivity is a much more difficult task, which requires the estimation of the drag coefficient of vegetated areas of different places of the watershed [2].…”
Section: Fire Eventmentioning
confidence: 99%
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“…They found that the ERS-2 σ is closely related to both soil moisture and water level changes in the Marl Prairie sites which seasonally experience complete dry condition. Later, Grings et al [18,19] used C-band Envisat ASAR scenes and electromagnetic models with field work data to examine SAR backscatter responses to water level changes over marshes of the Parana River Delta. In addition, Trung et al [20] studied changes in land cover classes in the Tonle Sap floodplain using PALSAR and MODIS data with a land cover model as a function of water level.…”
Section: Introductionmentioning
confidence: 99%