Necsoiua , Marius and Leprince, Sébastien and Hooper, Donald M. and Dinwiddie, Cynthia L. and McGinnis , Ronald N. and Walter, Gary R. (2009) Monitoring migration rates of an active subarctic dune field using optical imagery. Remote Sensing of Environment, 113 (11). pp. 2441-2447. ISSN 0034-4257 http://resolver.caltech.edu/CaltechAUTHORS:20091103-105054477
- Published Version
Restricted to Repository administrators only
See Usage Policy.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20091103-105054477
We developed a novel method to quantify subtle rates of landscape evolution using two satellite imaging systems with different viewing angles and spectral sensitivities. We selected the slowly migrating, high-latitude, subarctic Great Kobuk Sand Dunes (GKSD), Kobuk Valley National Park, Alaska (USA), for our study. The COSI-Corr technique was used for precise orthorectification, co-registration, and subpixel correlation of satellite data. ASTER Visible Near Infrared (VNIR) and SPOT Panchromatic images with a 5-year temporal separation were correlated to measure the horizontal velocity of the GKSD. To reduce correlation noise, ASTER VNIR bands were linearly mixed to match the SPOT Panchromatic band, and raw correlation measurements were projected onto a local robust migration direction to estimate unbiased velocity magnitudes. The results show that the most likely migration rate for the GKSD ranges from 0.5 to 1.5 m/year, with peak velocities up to 3.8 m/year, and uncertainty of approximately 0.16 m/year. The unprecedented ability to measure slow migration rates, including those that may occur over a relatively short time interval, illustrates the value of this method to reliably detect and monitor subtle ground movements including dune migration, glacier flow, mass movements, and other small-scale processes.
|Additional Information:||© 2009 Elsevier Inc. Received 27 February 2009; revised 28 April 2009; accepted 13 July 2009. Available online 15 August 2009. SwRI® researchers were funded through SwRI's internal research and development program, Quick-Look Project R8002: Kobuk Valley National Park Landscape Change Detection Using Remotely Sensed Data and Geomorphologic Assessments. S. Leprince was partially supported by NSF grant EAR-0636097, and by the Gordon and Betty Moore Foundation. The background image of Fig. 1 is a composite of two Landsat datasets (Path 078; Row 013, 2002/08/30, 1985/07/06), courtesy of Global Land Cover Facility. ASTER dataset courtesy of NASA LP-DAAC, USGS and Japan's METI. SPOT Panchromatic dataset was acquired from SPOT Image Inc. We greatly appreciate the constructive comments of the anonymous reviewers and P. Vermeesch for his insightful review and suggestions. We thank E. Beverly for data reduction, A. Morris and D. Ferrill for their technical and programmatic reviews, L. Mulverhill for editorial review, and C. Patton her assistance with formatting this manuscript.|
|Subject Keywords:||Landscape change detection; Optical satellite data; Sand dune migration; Subpixel correlation; Model optimization|
|Official Citation:||Marius Necsoiu, Sebastien Leprince, Donald M. Hooper, Cynthia L. Dinwiddie, Ronald N. McGinnis, Gary R. Walter, Monitoring migration rates of an active subarctic dune field using optical imagery, Remote Sensing of Environment, Volume 113, Issue 11, 16 November 2009, Pages 2441-2447, ISSN 0034-4257, DOI: 10.1016/j.rse.2009.07.004. (http://www.sciencedirect.com/science/article/B6V6V-4X0W4RN-1/2/e30e36169e169f42fdfef6488e6bdce7)|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Tony Diaz|
|Deposited On:||04 Nov 2009 22:04|
|Last Modified:||26 Dec 2012 11:31|
Repository Staff Only: item control page