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Multiple baseline radar interferometry applied to coastal land cover classification and change analyses

Elijah W. Ramsey·Z. Lu·A. Rangoonwala·Russ Rykhus
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Abstract

ERS-1 and ERS-2 SAR data were collected in tandem over a four-month period and used to generate interferometric coherence, phase, and intensity products that we compared to a classified land cover coastal map of Big Bend, Florida. Forests displayed the highest intensity, and marshes the lowest. The intensity for fresh marsh and forests progressively shifted while saline marsh intensity variance distribution changed with the season. Intensity variability suggested instability between temporal comparisons. Forests, especially hardwoods, displayed lower coherences and marshes higher. Only marshes retained coherence after 70 days. Coherence was more responsive to land cover class than intensity and provided discrimination in winter. Phase distributions helped reveal variation in vegetation structure, identify broad land cover classes and unique within-class variations, and estimate water-level changes. Copyright ?? 2006 by V. H. Winston & Son, Inc. All rights reserved.

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Elijah W. Ramsey, Z. Lu, A. Rangoonwala, Russ Rykhus. 2013-05-15. Multiple baseline radar interferometry applied to coastal land cover classification and change analyses. https://doi.org/10.2747/1548-1603.43.4.283

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