Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/4524
Title: Data Fusion for Reconstruction of a DTM, Under a Woodland Canopy, From Airborne L-band InSAR
Authors: Rowland, Clare S.
Balzter, Heiko
First Published: May-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: IEEE Transactions on Geoscience and Remote Sensing, 2007, 45 (5), pp. 1154-1163.
Abstract: This paper investigates the utility of different parameters from polarimetric interferometric synthetic aperture radar (InSAR) data for the identification of ground pixels in a woodland area to enable accurate digital terrain model (DTM) generation from the InSAR height of the selected ground hit pixels. The parameters assessed include radar backscatter, interferometric coherence, surface scattering proportion (based on Freeman–Durden decomposition), and standard deviation of the interferometric height. The method is applied to Monks Wood, a small seminatural deciduous woodland in Cambridgeshire, U.K., using airborne E-SAR data collected in June 2000. The 1428 variations of SAR-derived terrain models are validated with theodolite data and a light detection and ranging-derived DTM. The results show that increasing the amount of data used in the DTM creation does not necessarily increase the accuracy of the final DTM. The most accurate method, for the whole wood, was a fixed-window minimum-filtering algorithm, followed by a mean filter. However, for a spatial subset of the area using the υ3 backscattering coefficient to identify ground pixels outperforms the minimum filtering method. The findings suggest that backscatter information may often be undervalued in estimating terrain height under forest canopies.
DOI Link: 10.1109/TGRS.2007.893565
ISSN: 0196-2892
Links: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4156340
http://hdl.handle.net/2381/4524
Type: Article
Rights: This is the author's final draft of the paper published as IEEE Transactions on Geoscience and Remote Sensing, 2007, 45 (5), pp. 1154-1163. Copyright © 2007 IEEE. The final version is available from http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04156340. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Leicester’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. Doi: 10.1109/TGRS.2007.893565
Appears in Collections:Published Articles, Dept. of Geography

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