A combined multi-interferogram algorithm for high resolution DEM reconstruction over deformed regions with TerraSAR-X data

Zhao, Cunliang; Qu, Feifei; Zhang, Qin; Zhu, Wu

doi:10.1016/j.jog.2012.04.004

Cited by 8 publications

(8 citation statements)

References 10 publications

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“…The parameter N is the number of DEMs available. The weight factor w used for InSAR DEM studies can differ according to authors:

\frac{B_{p} γ^{2}}{1 - γ^{2}}

in Zhao et al [],

{γ B_{p}}^{2}

in Lu et al [], or

\frac{B_{p}}{{σ_{ϕ}}^{2}}

in Ferretti et al []. It is, however, always a function of coherence and perpendicular baseline.…”

Section: Insar Processing and Dem Validationmentioning

confidence: 99%

“…With the topographic method, thicknesses are estimated by differencing preeruption and posteruption surfaces derived from Digital Elevation Models (DEMs). Such DEMs can be produced using digitized contour maps [Stevens et al, 1999] or from space-, air-, or ground-based imagery [e.g., Gwinner et al, 2000;Baldi et al, 2002;Kerle, 2002;Fabris and Pesci, 2005;Diefenbach et al, 2013], light detection and ranging (LiDAR) [e.g., Mouginis-Mark and Garbeil, 2005;Mazzarini et al, 2007;Favalli et al, 2009;Fornaciai et al, 2010], and radar interferometry (InSAR) [e.g., Tokunaga, 1998;Rowland et al, 1999;Xinwu et al, 2009;Moholdt and Kääb, 2012;Zhao et al, 2012;Poland, 2014;Xu and Jónsson, 2014]. In this topographic approach, errors in lava flow volume only depend on the accuracy and resolution of DEMs.…”

Section: Introductionmentioning

confidence: 99%

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High‐resolution TanDEM‐X DEM: An accurate method to estimate lava flow volumes at Nyamulagira Volcano (D. R. Congo)

et al. 2015

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Nyamulagira and Nyiragongo are two of the most active volcanoes in Africa, but their eruptive histories are poorly known. Assessing lava flow volumes in the region remains difficult, as field surveys are often impossible and available Digital Elevation Models (DEMs) do not have adequate spatial or temporal resolutions. We therefore use TerraSAR‐X add‐on for Digital Elevation Measurement (TanDEM‐X) interferometry to produce a series of 0.15 arc sec (∼5 m) DEMs from between 2011 and 2012 over these volcanoes. TanDEM‐X DEMs have an absolute vertical accuracy of 1.6 m, resulting from the comparison of elevation with GPS measurements acquired around Nyiragongo. The difference between TanDEM‐X‐derived DEMs from before and after the 2011–2012 eruption of Nyamulagira provides an accurate thickness map of the lava flow emplaced during that activity. Values range from 3 m along the margins to 35 m in the middle, with a mean of 12.7 m. The erupted volume is 305.2 ± 36.0 × 106 m3. Height errors on thickness depend on the land covered by the flow and range from 0.4 m in old lavas to 5.5 m in dense vegetation. We also reevaluate the volume of historical eruptions at Nyamulagira since 2001 from the difference between TanDEM‐X and SRTM 1 arc sec DEMs and compare them to previous work. Planimetric methods used in literature are consistent with our results for short‐duration eruptions but largely underestimate the volume of the long‐lived 2011–2012 eruption. Our new estimates of erupted volumes suggest that the mean eruption rate and the magma supply rate were relatively constant at Nyamulagira during 2001–2012, respectively, 23.1 m3 s−1 and 0.9 m3 s−1.

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“…The parameter N is the number of DEMs available. The weight factor w used for InSAR DEM studies can differ according to authors:

\frac{B_{p} γ^{2}}{1 - γ^{2}}

in Zhao et al [],

{γ B_{p}}^{2}

in Lu et al [], or

\frac{B_{p}}{{σ_{ϕ}}^{2}}

in Ferretti et al []. It is, however, always a function of coherence and perpendicular baseline.…”

Section: Insar Processing and Dem Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High‐resolution TanDEM‐X DEM: An accurate method to estimate lava flow volumes at Nyamulagira Volcano (D. R. Congo)

et al. 2015

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“…The denser fringes make phase unwrapping much more difficult and can cause unwrapping errors [41]. There are only two scenes acquired in 2014 by TerraSAR-X on track 93, and no other data are available on this track prior to 2011 (Figure 2), meaning that only three-year interferograms can be generated spanning this period.…”

Section: Model-assisted Phase Unwrappingmentioning

confidence: 99%

Post-Eruptive Inflation of Okmok Volcano, Alaska, from InSAR, 2008–2014

Lü

Poland

et al. 2015

Remote Sensing

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Okmok, a~10-km wide caldera that occupies most of the northeastern end of Umnak Island, is one of the most active volcanoes in the Aleutian arc. The most recent eruption at Okmok during July-August 2008 was by far its largest and most explosive since at least the early 19th century. We investigate post-eruptive magma supply and storage at the volcano during 2008-2014 by analyzing all available synthetic aperture radar (SAR) images of Okmok acquired during that time period using the multi-temporal InSAR technique. Data from the C-band Envisat and X-band TerraSAR-X satellites indicate that Okmok started inflating very soon after the end of 2008 eruption at a time-variable rate of 48-130 mm/y, consistent with GPS measurements. The "model-assisted" phase unwrapping method is applied to improve the phase unwrapping operation for long temporal baseline pairs. The InSAR time-series is used as input for deformation source modeling, which suggests magma accumulating at variable rates in a shallow storage zone at~3.9 km below sea level beneath the summit caldera, consistent with previous studies. The modeled volume accumulation in the six years following the 2008 eruption is~75% of the 1997 eruption volume and~25% of the 2008 eruption volume.

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“…4b), making the InSAR images coherent for a long time. We employ the multi-interferogram method (Ferretti et al, 1999;Lu et al, 2003;Zhao et al, 2012b;Ebmeier et al, 2012) to generate a DEM that represents the surface topography after the rockslide. We produce interferograms with the shortest temporal intervals and mitigate the difficulty in phase unwrapping over the mountainous region by subtracting the 3-arc second SRTM DEM from each interferogram.…”

Section: Post-rockslide Height Change Calculationmentioning

confidence: 99%

“…Four lidarderived Digital Terrain Models were studied over an active landslide at Montaguto (Italy) (Ventura et al, 2011). Interferometric SAR (InSAR) technique can generate DEM at 5 m accuracy when two SAR images have good spatial geometry and high coherence (Zebker et al, 1994;Zhao et al, 2012b). Otherwise, the accuracy will degrade to 12-15 m for unfavourable orbit latitudes and locations with large temporal decorrelation (Zebker et al, 1994).…”

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confidence: 99%

Pre-, co-, and post- rockslide analysis with ALOS/PALSAR imagery: a case study of the Jiweishan rockslide, China

Zhao

Zhang

Yin

et al. 2013

Nat. Hazards Earth Syst. Sci.

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Abstract. On 5 June 2009, a catastrophic rockslide debris flow occurred at the crest of the Jiweishan range, Chongqing Municipality, China, killing 74 people and injuring an additional eight. We use L-band ALOS/PALSAR imagery to address landslide processes before, during and after the slide. We employ three different SAR methods, i.e., short baseline subsets (SBAS) interferometric SAR (InSAR), SAR backscattering intensity change, and InSAR stacking algorithm, to study any ground deformation before the rockslide, investigate the affected area, and calculate the topographic change by this slide, respectively. First, continuous deformation has been observed based on the available ALOS/PALSAR InSAR imagery during June and December 2007. Second, the area affected by the landslide can be inferred based on changes in SAR backscattering intensity as well as surface topography, with an estimated area of 0.47 million m2. Last, an InSAR-derived post-slide digital elevation model has allowed us to estimate surface height changes due to the slide, reaching about −80 m at the source region and about 60 m in the deposit region, respectively. Our InSAR-derived estimates have been validated using in situ data and 3-D lidar measurements.

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A combined multi-interferogram algorithm for high resolution DEM reconstruction over deformed regions with TerraSAR-X data

Cited by 8 publications

References 10 publications

High‐resolution TanDEM‐X DEM: An accurate method to estimate lava flow volumes at Nyamulagira Volcano (D. R. Congo)

High‐resolution TanDEM‐X DEM: An accurate method to estimate lava flow volumes at Nyamulagira Volcano (D. R. Congo)

Post-Eruptive Inflation of Okmok Volcano, Alaska, from InSAR, 2008–2014

Pre-, co-, and post- rockslide analysis with ALOS/PALSAR imagery: a case study of the Jiweishan rockslide, China

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