Compact polarimetry overview and applications assessment

Charbonneau, François; Brisco, Brian; Raney, R. K.; McNairn, Heather; Liu, C.; Vachon, P.W.; Shang, Jiali; DeAbreu, R.; Champagne, Catherine; Merzouki, A.; Geldsetzer, Torsten

doi:10.5589/m10-062

Cited by 249 publications

(212 citation statements)

References 40 publications

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“…However, the results from the CP radar should be better than those from a single-polarized or dual-polarized SAR. Many investigations (Dubois-Fernandez et al 2008;Ainsworth, Kelly, and Lee 2009;Nord et al 2009;Charbonneau et al 2010) have confirmed these results for various applications.…”

Section: Introductionsupporting

confidence: 51%

“…This mode uses the circular polarization transmit mode and the linear polarization receive mode for the radar and is designated hereafter as C-L CP. The results of this research reported by Charbonneau et al (2010) were very promising for many application areas including ship detection, sea-ice mapping, crop classification, and soil moisture estimation. C-L CP outperformed dual-polarization configurations in all cases, but more research is needed to evaluate the trade-offs in swath width, resolution, and information content when choosing between the various modes that are available.…”

Section: Introductionmentioning

confidence: 89%

“…The m-delta decomposition for CP data is very similar to the Freeman-Durden decomposition (Charbonneau et al 2010). The term CP is used for SAR system configurations in which only one polarization is transmitted and two orthogonal polarizations are received.…”

Section: Introductionmentioning

confidence: 91%

“…IRSA has a multitemporal RADARSAT-2 rice data set from a site in China. For each data set, we can evaluate dual polarization and FP with the RADARSAT-2 data and then use the polarimetry data to simulate the C-L CP data from the RCM using a simulation package developed at CCRS (Charbonneau et al 2010). The simulation in this case used a -25 dB noise floor with 50 m resolution to mimic future RCM products.…”

Section: Methodsmentioning

confidence: 99%

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Compact polarimetry assessment for rice and wetland mapping

Brisco

Tedford

et al. 2012

International Journal of Remote Sensing

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Polarimetric RADARSAT-2 data of rice and wetlands are used to simulate compact polarimetry (CP) mode data from the upcoming RADARSAT Constellation Mission (RCM). The simulated CP data are then used to evaluate the information content for rice and wetland mapping using supervised classification, and the results are compared for linear and circular polarization combinations and polarimetric decompositions from the fully polarimetric data and the simulated CP data. The results are consistent for both rice and wetlands and show that the classification accuracy increases as one goes up the polarization hierarchy. The circular polarizations produced the best classification results for the polarization combinations. This result requires further research to verify. Although the CP data did not perform as well as the fully polarimetric data, the results were better than for dual polarization, and this mode may offer the best option for rice and wetland mapping applications because of swath coverage. Note that both the compact simulations and the fully polarimetric data produced operationally suitable classification accuracies. Additional research is underway to evaluate the monitoring capability of this new CP mode. This article describes the approach used for the analyses and the classification results for both rice and wetlands.

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Section: Introductionsupporting

confidence: 51%

Section: Introductionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 91%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Compact polarimetry assessment for rice and wetland mapping

Brisco

Tedford

et al. 2012

International Journal of Remote Sensing

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“…This means that the co-polarized ratio (Wakabayashi et al, 2004;Nakamura et al, 2009a;Toyota et al, 2009) and the cross-polarized ratio (Kim et al, 2012) which are often used as an ice thickness proxy cannot be directly calculated from CP-mode SAR data. Although CP SAR images have been used to distinguish sea ice types (Dabboor and Geldsetzer, 2014;Charbonneau et al, 2010;Geldsetzer et al, 2015), to our knowledge there have been no published studies on its use for ice thickness detection in the open literature until now. Therefore, in this study, we considered the CTLR mode and developed an approach to directly retrieve the thickness from CP SAR data (hereafter we assume that the CP SAR is operated in CTLR mode).…”

Section: Introductionmentioning

confidence: 99%

Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images

et al. 2016

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Abstract. In this paper we introduce a parameter for the retrieval of the thickness of undeformed first-year sea ice that is specifically adapted to compact polarimetric (CP) synthetic aperture radar (SAR) images. The parameter is denoted as the "CP ratio". In model simulations we investigated the sensitivity of the CP ratio to the dielectric constant, ice thickness, ice surface roughness, and radar incidence angle. From the results of the simulations we deduced optimal sea ice conditions and radar incidence angles for the ice thickness retrieval. C-band SAR data acquired over the Labrador Sea in circular transmit and linear receive (CTLR) mode were generated from RADARSAT-2 quad-polarization images. In comparison with results from helicopter-borne measurements, we tested different empirical equations for the retrieval of ice thickness. An exponential fit between the CP ratio and ice thickness provides the most reliable results. Based on a validation using other compact polarimetric SAR images from the same region, we found a root mean square (rms) error of 8 cm and a maximum correlation coefficient of 0.94 for the retrieval procedure when applying it to level ice between 0.1 and 0.8 m thick.

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Rice growth monitoring using simulated compact polarimetric C band SAR

Yang

Liu

et al. 2014

Radio Sci.

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In this study, a set of nine compact polarimetric (CP) images were simulated from polarimetric RADARSAT-2 data acquired over a test site containing two types of rice field in Jiangsu province, China. The types of rice field in the test site were (1) transplanted hybrid rice fields, and (2) direct-sown japonica rice fields. Both types have different yields and phenological stages. As a first step, the two types of rice field were distinguished with 94% and 86% accuracy respectively through analyzing CP synthetic aperture radar (SAR) observations and their behavior in terms of scattering mechanisms during the rice growth season. The focus was then on phenology retrieval for each type of rice field. A decision tree (DT) algorithm was built to fulfill the precise retrieval of rice phenological stages, in which seven phenological stages were discriminated. The key criterion for each phenological stage was composed of 1-4 CP parameters, some of which were first used for rice phenology retrieval and found to be very sensitive to rice phenological changes. The retrieval results were verified at parcel level for a set of 12 stands of rice and up to nine observation dates per stand. This gave an accuracy of 88-95%. Throughout the phenology retrieval process, only simulated CP data were used, without any auxiliary data. These results demonstrate the potential of CP SAR for rice growth monitoring applications.

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Compact polarimetry overview and applications assessment

Cited by 249 publications

References 40 publications

Compact polarimetry assessment for rice and wetland mapping

Compact polarimetry assessment for rice and wetland mapping

Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images

Rice growth monitoring using simulated compact polarimetric C band SAR

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