Polarimetric interferometry in the Glen Affric project: results &amp; conclusions

Woodhouse, Iain; Cloude, S.R.; Papathanassiou, Konstantinos; Hope, J.; Suárez, Juan Carlos Pinilla; Osborne, Patrick E.; Wright, G. M.

doi:10.1109/igarss.2002.1025696

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…For instance, inversion of polarimetric SAR interferometry (Pol-InSAR) data using the Random Volume over Ground (RVoG) model [10]- [14] provides estimates of forest height, extinction, as well as the ground-to-volume scattering ratio under some assumptions concerning the dominating scattering mechanism. The RVoG model performance was assessed through theoretical studies and extensively demonstrated in various airborne SAR experiments in different forest environments ranging from tropical rainforest [9], [14], [15] and temperate broad-leaved forests [16] to boreal forests [17]- [20], mostly at the X, C, and L frequency bands, as well as at longer wavelengths [21], [22].…”

Section: Introductionmentioning

confidence: 99%

LIDAR-Aided SAR Interferometry Studies in Boreal Forest: Scattering Phase Center and Extinction Coefficient at X- and L-Band

Praks

Antropov

Hallikainen

2012

IEEE Trans. Geosci. Remote Sensing

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Scattering phase center (SPC) location in boreal forests was studied in order to assist forest inventory with singleand quad-pol synthetic aperture radar (SAR) interferometry. Airborne X-and L-band interferometric SAR data collected by the DLR E-SAR instrument in southern Finland during the FINSAR campaign was used in the study. A simple Random Volume over Ground (RVoG) model was employed as the theoretical framework for inversion of forest parameters and interpretation of the obtained results. LIDAR measurements of the canopy height and terrain elevation were used as reference and auxiliary data. The RVoG model was found to satisfactorily explain the SPC location inside the canopy in boreal forests. We show that when using X-band, the height of the SPC is typically about 75% of the canopy height, as predicted by the RVoG model; however, the retrieved extinction was found to be rather low. The feasibility of highly accurate tree height inversion using single-polarization X-band interferometry (with RMSE approaching 1.5 m) is demonstrated using a digital terrain model. For this purpose, the traditional polarimetric interferometry SAR technique for phase center retrieval is modified to include a complementary LIDAR measured terrain model. At L-band, the phase center height was determined to be around 50% of the canopy height and even lower, indicating that the ground contribution is significant. Moreover, several simplified inversion approaches for tree height and extinction coefficient retrieval were considered based on several boundary cases of the RVoG model, describing the canopy frequently encountered in boreal forest environments. These analyses allowed developing a combined approach for simultaneous estimation of both forest height and extinction in the boreal zone when an accurate elevation model of the terrain is available.Index Terms-Boreal forest, phase center, polarimetric interferometry, synthetic aperture radar (SAR), tree height.

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Section: Introductionmentioning

confidence: 99%

LIDAR-Aided SAR Interferometry Studies in Boreal Forest: Scattering Phase Center and Extinction Coefficient at X- and L-Band

Praks

Antropov

Hallikainen

2012

IEEE Trans. Geosci. Remote Sensing

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“…Second, the number of Legendre coefficients is insufficient to estimate the height with a high accuracy. Third, the hilly terrain of the study area may affect the results although we corrected for topographic phase and masked out the steep slopes at the test site following [44], [46], [47]. Using multibaseline tomographic data and accounting for local incidence angle reduces the topographic effect on estimating height.…”

Section: Discussionmentioning

confidence: 99%

Estimating Tree Heights Using Multibaseline PolInSAR Data With Compensation for Temporal Decorrelation, Case Study: AfriSAR Campaign Data

Ghasemi

Tolpekin

Stein

2018

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This paper presents a multibaseline method to increase the accuracy of height estimation when using SAR tomographic data. It is based upon mitigating the temporal decorrelation induced by wind. The Fourier-Legendre function of different orders was fitted to each pixel as the structure function in the PCT model. It was combined with the motion standard deviation function from the random-motion-over ground (RMoG) model. L-band multibaseline data are used that were acquired during the AfriSAR campaign over La Lope National Park in Gabon with a height range between 0 and 60 m that has an average of 30 m and standard deviation of 15 m. The results were compared with those from the regular PCT model using the root mean square error (RMSE). Histograms were compared to the one obtained from Lidar height map. The average RMSE was equal to 7.5 m for the regular PCT model and to 5.6 m for the modified PCT model. We concluded that the accuracy of tree height estimation increased after modeling of temporal decorrelation. This is of value for future satellite missions that would collect tomographic data over forest areas.

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“…This simulation is more realistic since it uses registered Lband repeat pass POLSAR image-pairs from the Glen Affric project [6]. A 512x512 image chip was taken from this data and into one chip, a grid of target covariance patches is added.…”

Section: B Real Background With Injected Targetmentioning

confidence: 99%

A comparison of change detection statistics in POLSAR images

Kersten¹,

Lee²,

Ainsworth³

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.

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Abstract-Change detection in polarimetric SAR (POLSAR)images is an important topic. Three statistics are compared on both simulated and real data for their efficacy in change detection. The three statistics are the contrast ratio, the ellipticity and the Bartlett test. The relative performance for these three test statistics on the two simulations is dramatically different. The results are illustrated and explained.

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Polarimetric interferometry in the Glen Affric project: results & conclusions

Cited by 7 publications

References 2 publications

LIDAR-Aided SAR Interferometry Studies in Boreal Forest: Scattering Phase Center and Extinction Coefficient at X- and L-Band

LIDAR-Aided SAR Interferometry Studies in Boreal Forest: Scattering Phase Center and Extinction Coefficient at X- and L-Band

Estimating Tree Heights Using Multibaseline PolInSAR Data With Compensation for Temporal Decorrelation, Case Study: AfriSAR Campaign Data

A comparison of change detection statistics in POLSAR images

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