Monitoring migration rates of an active subarctic dune field using optical imagery

Necsoiu, Marius; Leprince, S.; Hooper, D. M.; Dinwiddie, C. L.; McGinnis, Ronald N.; Walter, Gary R.

doi:10.1016/j.rse.2009.07.004

Cited by 96 publications

(70 citation statements)

References 20 publications

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“…Note that only offset differences, Δd, between both co-registered scenes become visible in such cases ( Figure 5). Also, we cannot completely rule out terrain movements between the two acquisitions such as from dune migration [18,19] or shadow movements, though visual image inspection does not support these possibilities. To our knowledge, future Sentinel-2 processor versions plan to register new scenes to a reference scene or scene composite from the same relative orbit (Ferran Gascon, personal communication, 2016).…”

Section: Co-registration Of Data From Repeat Orbitsmentioning

confidence: 91%

Glacier Remote Sensing Using Sentinel-2. Part I: Radiometric and Geometric Performance, and Application to Ice Velocity

et al. 2016

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Abstract:With its temporal resolution of 10 days (five days with two satellites, and significantly more at high latitudes), its swath width of 290 km, and its 10 m and 20 m spatial resolution bands from the visible to the shortwave infrared, the European Sentinel-2 satellites have significant potential for glacier remote sensing, in particular mapping of glacier outlines and facies, and velocity measurements. Testing Level 1C commissioning and ramp-up phase data for initial sensor quality experiences, we find a high radiometric performance, but with slight striping effects under certain conditions. Through co-registration of repeat Sentinal-2 data we also find lateral offset patterns and noise on the order of a few metres. Neither of these issues will complicate most typical glaciological applications. Absolute geo-location of the data investigated was on the order of one pixel at the time of writing. The most severe geometric problem stems from vertical errors of the DEM used for ortho-rectifying Sentinel-2 data. These errors propagate into locally varying lateral offsets in the images, up to several pixels with respect to other georeferenced data, or between Sentinel-2 data from different orbits. Finally, we characterize the potential and limitations of tracking glacier flow from repeat Sentinel-2 data using a set of typical glaciers in different environments: Aletsch Glacier, Swiss Alps; Fox Glacier, New Zealand; Jakobshavn Isbree, Greenland; Antarctic Peninsula at the Larsen C ice shelf.

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Section: Co-registration Of Data From Repeat Orbitsmentioning

confidence: 91%

Glacier Remote Sensing Using Sentinel-2. Part I: Radiometric and Geometric Performance, and Application to Ice Velocity

et al. 2016

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“…Rather the distribution of data number (DN) values along the column and sample directions is what is correlated to displacement. COSI-Corr has been successfully used to measure diverse tectonic and geomorphic processes, including co-seismic deformation, ice flow, landslide and sand dune migration on Earth (Avouac et al, 2006;Leprince et al, 2007;Vermeesch and Drake, 2008;Necsoiu et al, 2009) and has recently been applied to Mars (Bridges et al, 2012b;Ayoub et al, 2012).…”

Section: Measurements From Sub-pixel Registration and Change Detectionmentioning

confidence: 99%

Bedform migration on Mars: Current results and future plans

et al. 2013

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“…Recent advances in image-based cross-correlation methods demonstrate the potential to derive more objective measurements of dune form movement (Vermeesch and Drake, 2008;Necsoiu et al, 2009). The technique involves sub-pixel correlation of co-registered images, which yields a velocity field of dune displacements, and can also be used to derive an estimate of sand flux (discussed in Section 2.3).…”

Section: Dune Form Movementmentioning

confidence: 99%

“…Advances in computer hardware and software throughout the 1990s facilitated a shift in study to the reflectance characteristics of dune surfaces (Paisley et al, 1991;Lancaster et al, 1992;Tsoar and Karnieli, 1996;Walden and White, 1997;White et al, 1997;Blumberg, 1998;Pease et al, 1999) and innovative approaches for quantifying historical changes in dune activity (Anthonsen et al, 1996;Brown and Arbogast, 1999). In the last decade, additional progress has been made in the quantitative analysis of dune morphodynamics Vermeesch and Drake, 2008;Bourke et al, 2009;Necsoiu et al, 2009) and dune field pattern analysis (Kocurek and Ewing, 2005;Ewing et al, 2006;Bishop, 2007;Wilkins and Ford, 2007;Mason et al, 2008;Bishop, 2010;Ewing and Kocurek, 2010a,b;Hugenholtz and Barchyn, 2010;Kocurek et al, 2010).…”

Section: Introductionmentioning

confidence: 99%