Multi-baseline airborne Pol-InSAR measurements for the estimation of scattering processes within vegetation media

Stebler, O.; Meier, Erich; Nuesch, D.

doi:10.1109/igarss.2001.978293

Cited by 1 publication

(3 citation statements)

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“…For the detection of windthrown forests a baseline distance of 10 Á/20 m showed the biggest differences. The polarimetric studies of the data showed that interferometrically optimized polarizations, so-called singular polarizations, proved to be more suitable than conventional polarizations (for further details see Stebler et al 2001Stebler et al , 2002. …”

Section: Synthetic Aperture Radar Datamentioning

confidence: 99%

“…This may be explained by different surface roughness. Owing to the heterogeneous patterns in the surface of windthrown forests, multiple scattering processes occur, resembling those of forests (Stebler et al 2001(Stebler et al , 2002.…”

Section: Accuracy Of the Synthetic Aperture Radar Datamentioning

confidence: 99%

“…In a second step this forest area was classified using the three object classes: ''forest'', ''other vegetation'' and ''windthrow''. differential SAR interferograms were calculated for a better understanding of the physical importance of interferometric phase centres (Stebler et al 2001(Stebler et al , 2002.…”

Section: Interpretation Of the Airborne Synthetic Aperture Radar Datamentioning

confidence: 99%

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Detection of Windthrow in Mountainous Regions with Different Remote Sensing Data and Classification Methods

Schwarz

Steinmeier

Holecz

et al. 2003

Scandinavian Journal of Forest Research

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Detection of windthrow in mountainous regions with different remote sensing data and classification methods.After a disastrous storm event, quick and reliable information on the extent of forest damage is required. This study evaluated different remote sensing data and methods to detect windthrown forests in mountainous regions as an alternative to the manual analysis of aerial images or terrestrial methods. To this end, both optical satellite sensors (Landsat-7, Spot-4 and Ikonos) and synthetic aperture radar (SAR) data at various frequencies (X-, L-, P-and C-band) were evaluated, and classifications of the windthrown forests were performed. This study was designed to state the advantages and disadvantages of the investigated data and methods. Classification results were compared with aerial images which were interpreted manually on a stereoscopic base. The study showed that the manual interpretation of Ikonos data revealed the most accurate results, followed by an automatic classification of Spot-4 data. Except for ERS-1/ 2 data, which are too inaccurate in mountainous regions, and SAR P-band data, all sensors and methods investigated have different advantages, so the choice of a specific sensor and method will depend on the question being answered.

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Section: Synthetic Aperture Radar Datamentioning

confidence: 99%

Section: Accuracy Of the Synthetic Aperture Radar Datamentioning

confidence: 99%

Section: Interpretation Of the Airborne Synthetic Aperture Radar Datamentioning

confidence: 99%

See 1 more Smart Citation

Detection of Windthrow in Mountainous Regions with Different Remote Sensing Data and Classification Methods

Schwarz

Steinmeier

Holecz

et al. 2003

Scandinavian Journal of Forest Research

View full text Add to dashboard Cite

show abstract

Multi-baseline airborne Pol-InSAR measurements for the estimation of scattering processes within vegetation media

Cited by 1 publication

References 3 publications

Detection of Windthrow in Mountainous Regions with Different Remote Sensing Data and Classification Methods

Detection of Windthrow in Mountainous Regions with Different Remote Sensing Data and Classification Methods

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