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2008
DOI: 10.1080/17538940701782577
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Water resource applications with RADARSAT-2 – a preview

Abstract: Fresh water is arguably the most vital resource for many aspects of a healthy and stable environment. Monitoring the extent of surface water enables resource managers to detect perturbations and long term trends in water availability, and set consumption guidelines accordingly. Potential end-users of water-related observations are numerous and reflect society as a whole. They encompass scientists and managers at all levels of government, aboriginal groups, water/ power utility managers, farmers, planners, engi… Show more

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Cited by 70 publications
(43 citation statements)
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“…Adding the beta parameter to the Cloude-Pottier decomposition could improve the classification to a similar level of the Freeman-Durden as was found for rice classification (Li, Brisco, and Yun 2012) Note, however, that both the C-L CP and fully polarimetric data produced operationally suitable wetland classification accuracies. It is not surprising that the full polarimetric data outperformed other data sets as it did for rice due to the increased information content (Brisco et al 2008Touzi 2007). …”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Adding the beta parameter to the Cloude-Pottier decomposition could improve the classification to a similar level of the Freeman-Durden as was found for rice classification (Li, Brisco, and Yun 2012) Note, however, that both the C-L CP and fully polarimetric data produced operationally suitable wetland classification accuracies. It is not surprising that the full polarimetric data outperformed other data sets as it did for rice due to the increased information content (Brisco et al 2008Touzi 2007). …”
Section: Resultsmentioning
confidence: 99%
“…Synthetic aperture radar (SAR) has been recognized as an important source of data for water resource applications (Brisco et al 2008). For surface water and flooding applications, the lack of backscatter from the specular water surface allows for easy delineation of open water, while the flooded vegetation in wetlands results in an enhanced backscatter due to double-bounce scattering (Hess, Melack, and Simonett 1990;Kasischke and Bourgeau-Chavez 1997;Pope et al 1997;Brisco et al 2009Brisco et al , 2011.…”
Section: Introductionmentioning
confidence: 99%
“…This allows the user to decompose the SAR backscatter being returned from the objects being sensed into four common scattering types: (1) specular scattering (no return to the SAR), which occurs from smoother surfaces such as calm water or bare soil; (2) rough scattering, which results when there is a single bounce return to the SAR from surfaces such as small shrubs or rough water; (3) volume scattering, which is when the signal is backscattered in multiple directions from features such as vegetation canopies; and (4) double-bounce or dihedral scattering, which results when two smooth surfaces create a right angle that deflects the incoming radar signal off both surfaces such that most of the energy is returned to the sensor. This latter scattering case typically occurs when vertical emergent vegetation is surrounded by a visible, smooth water surface [32,[47][48][49][50][51]. Flooded vegetation can also have a combination of double-bounce and volume backscattering [50,51].…”
Section: Introductionmentioning
confidence: 99%
“…Synthetic Aperture Radar (SAR) technology can be effective for monitoring changes in surface water [32,33] and wetlands both seasonally and annually [34−37]. SAR has many characteristics that make it ideal for mapping and monitoring water and wetlands over time.…”
Section: Introductionmentioning
confidence: 99%
“…Water monitoring using Synthetic Aperture Radar (SAR) has been the object of study for many researchers [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Due to its all-weather capabilities, and its image acquisition capacity during day or night or in cloudy conditions, SAR imagery offers better alternatives for water mapping than optical imagery [5].…”
Section: Introductionmentioning
confidence: 99%