Temporal Filters for Mapping Phragmites with C-HH SAR Data. Issue 3 (3rd May 2020)

• Record Type: Journal Article
• Authors: White, Lori; Brisco, Brian; Murnaghan, Kevin; Pasher, Jon; Duffe, Jason
• Is Part Of: Canadian journal of remote sensing. Volume 46:Issue 3(2020)
• Page Start: 376
• Page End: 385
• Publication Date: 2020-05-03
• Subjects: Remote sensing -- Periodicals; 621.367805
• DOI: 10.1080/07038992.2020.1799770
• Languages: English
• ISSNs: 0703-8992

Abstract

Abstract: We compared traditional spatial filters and multi-temporal filters to remove speckle from synthetic aperture radar (SAR) data for mapping Phragmites australis . SAR constellations, with more rapid revisit capability, allow one to generate stacks of SAR data and to use multi-temporal filters for speckle reduction. GAMMA software offers multi-temporal filters for SAR processing, two of which we compared to the traditional Enhanced Lee and the Lee filters. We evaluated the filters using three criteria: (1) visual inspection, (2) signal level ratio, and (3) the equivalent number of looks (ENL). The results of this study show that multi-temporal filters were able to reduce speckle from areas of surface water and land, as well as to improve the detection of Phragmites patches due to preserving the resolution and texture which helped in the detection of the patch boundaries. The signal level ratio was approximately 1.0 with the GAMMA Multi-temporal filter and approximately 0.9 with the other filters. The enhanced Lee and the two multi-temporal filters produced an equal ENL of about 6. However, due to small patch sizes and backscatter similarity with cattails and other cover types Phragmites patches were difficult to separate from other types of flooded vegetation with C-HH intensity only.