Vertical Structure of P-Band Temporal Decorrelation at the Paracou Forest: Results From TropiScat

Minh, Dinh Ho Tong; Tebaldini, Stefano; Rocca, F.; Toan, Thuy Le; Borderies, P.; Koleck, T.; Albinet, C.; Hamadi, A.; Villard, Ludovic

doi:10.1109/lgrs.2013.2295165

Cited by 38 publications

(17 citation statements)

References 17 publications

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“…The analysis was based on synthetic data emulating BIOMASS acquisitions over the tropical forest of Paracou, French Guiana. The 3-D structure of the scatterers at P-band was derived from a high-resolution 3-D reconstruction derived from the airborne TropiSAR data [4], whereas temporal decorrelation information was derived from the ground-based TropiScat experiment [14]. Errors resulting from Faraday Rotation were not considered since BIOMASS will acquire fully polarimetric data, therefore allowing Faraday Rotation correction to within an accuracy ensuring a negligible impact on tomographic results [17].…”

Section: Discussionmentioning

confidence: 99%

“…The best performance is found in HH, whereas HV is the worst case. This is readily explained considering that scattering in HH and VV is strongly contributed by the ground layer [4], which has a lower temporal decorrelation rate than the vegetation above [14].…”

Section: Biomass Performance In Repeat-pass Scenariosmentioning

confidence: 99%

“…Data from TropiSAR 2009 were used to generate a high-resolution 3-D reconstruction of the scattering elements within the Paracou forest, which was used as the basis for the retrieval of tropical forest biomass in [4] and [2] and for physical analysis in [12], [13]. Data from TropiScat were used to study temporal decorrelation at different time lags and at different heights within the vegetation layer [14]. The ensemble of these two datasets is exploited to generate a synthetic data emulating a BIOMASS multibaseline data stack acquired over the Paracou forest.…”

Section: Introductionmentioning

confidence: 99%

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The Impact of Temporal Decorrelation on BIOMASS Tomography of Tropical Forests

Minh

Tebaldini

Rocca

et al. 2015

IEEE Geosci. Remote Sensing Lett.

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The objective of this letter is to provide a better understanding of the impact of temporal decorrelation on the tomographic phase of the P-band synthetic aperture radar (SAR) mission BIOMASS, selected as the Seventh Earth Explorer by the European Space Agency. In the context of Phase A BIOMASS activities, the tropical forest site of Paracou, French Guiana, was illuminated at P-band during the airborne campaign TropiSAR 2009 and the ground-based campaign TropiScat 2011. P-band data from TropiSAR were used to generate a high-resolution 3-D reconstruction of the Paracou forest, whereas TropiScat data provided information about temporal correlation considering different time lags and different heights within the vegetation layer. The ensemble of the two datasets were used to generate a synthetic SAR data stack that emulates BIOMASS acquisitions over the Paracou forest site, accounting for BIOMASS geometry and resolution, as well as for the forest temporal decorrelation. Different data stacks were produced by varying the revisit time between two consecutive passes from 1 to 17 days. The resulting vertical structure reconstruction and forest height retrieval were observed to yield valuable results as long as the revisit time is 4 days or less.

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Section: Discussionmentioning

confidence: 99%

Section: Biomass Performance In Repeat-pass Scenariosmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Impact of Temporal Decorrelation on BIOMASS Tomography of Tropical Forests

Minh

Tebaldini

Rocca

et al. 2015

IEEE Geosci. Remote Sensing Lett.

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“…Assuming a vegetation layer with a top height of 50 m, the resulting number of passages for tomographic imaging can be assessed in about six (the height of ambiguity z amb = 110 m) per site, letting the overall BA equal the critical baseline. More passages can be exploited to enhance system robustness versus ionospheric disturbances [12] and severe weather conditions [13], [14].…”

Section: Biomass Tomographymentioning

confidence: 99%

Capabilities of BIOMASS Tomography for Investigating Tropical Forests

Minh

Tebaldini²,

Rocca³

et al. 2015

IEEE Trans. Geosci. Remote Sensing

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The objective of this paper is to provide a better understanding of the capabilities of the BIOMASS tomography concerning the retrieval of forest biomass and height in tropical areas. The analysis presented in this paper is carried out on airborne data acquired by Office National d'Etudes et de Recherches Aérospatiales (ONERA) over the site of Paracou, French Guiana, during the European Space Agency campaign TropiSAR. This high-resolution data set (125-MHz bandwidth) was reprocessed in order to generate a new data stack consistent with BIOMASS as for the bandwidth (6 MHz) and the azimuth resolution (about 12 m). To do this, two different processing approaches have been considered. One approach consisted of degrading the resolution of the airborne data through the linear filtering of raw data, followed by standard SAR processing. The other approach consisted of recovering the 3-D distribution of the scatterers at a high resolution, which was then reprojected onto the BIOMASS geometry. The latter procedure allows us to obtain a data stack that is the most realistic emulation of BIOMASS imaging capabilities. In both approaches, neither ionospheric disturbances nor temporal decorrelation has been considered. The connection to the forest biomass has been examined in both cases by investigating the correlation between the backscatter at different forest heights and the above-ground biomass (AGB) values from in situ data. As expected, the reduction of the system bandwidth to 6 MHz resulted in significant vertical resolution losses compared with the original airborne data. Nevertheless, it was possible to retrieve the forest height to within an accuracy of better than 4 m, whereas the backscattered power at the volume height (30 m above the ground) exhibited a correlation higher than 0.8 with the in situ data and no bias phenomena over the AGB values ranging from 250 to 450 t/ha. Index Terms-BIOMASS mission, forest height, forest vertical structure, P-band, spaceborne geometry simulation, synthetic aperture radar (SAR) tomography, tomographic phase, tropical forest biomass, 6-MHz bandwidth, 30-m layer.

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“…Multibaseline 3D SAR Tomography (TomoSAR) [1][2][3][4][5] is an important advancement of SAR Interferometry [1,4,6], allowing to sense complex scenarios with multiple heightdistributed scatterers mapped in the SAR cell, by means of spatial (baseline) spectral estimation. Beyond layover solution in garbled urban areas [1,4], and recent ice investigations [7], emerging tomographic remote sensing applications regard forest scenarios [1,2,5,8,9], e.g.…”

Section: Introductionmentioning

confidence: 99%

4D quick Diff-Tomo analyses of short-term decorrelation of distributed scatterers

Lombardini

Viviani

Berizzi

2016

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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In the framework of developments of 3D forest Tomography, the issue of extensive and detailed characterizations of temporal decorrelation phenomena has recently emerged, especially for the future spaceborne missions. In particular, height-varying (stratified) behaviour of long-term temporal decorrelation mechanisms has been analyzed by advanced 4D (3D+Time) Differential SAR Tomography processing applied to airborne data, and dedicated radar-tower campaigns have been conducted or are running. In this work, new Differential Tomography analyses exploiting a very quick acquisition ground-based miniradar are presented, aiming to open investigation of both height- and time-varying characteristics of the short-term decorrelation processes of the complex moving and non-stationary (dynamic) volumetric scatterers of windblown forests. This innovative characterization methodology and the first reported findings can be useful especially for the development of advanced spaceborne Tomography systems based on formation-flying and 3D correlative track-pair only processing

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Vertical Structure of P-Band Temporal Decorrelation at the Paracou Forest: Results From TropiScat

Cited by 38 publications

References 17 publications

The Impact of Temporal Decorrelation on BIOMASS Tomography of Tropical Forests

The Impact of Temporal Decorrelation on BIOMASS Tomography of Tropical Forests

Capabilities of BIOMASS Tomography for Investigating Tropical Forests

4D quick Diff-Tomo analyses of short-term decorrelation of distributed scatterers

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