Analysis of a Large-scale Erosion in Hai Hau Coast, Northern Vietnam

Thuy, T.T.V.; Nagatsuka, Shinji; Nishihata, Takeshi; Takewaka, Satoshi; Mimura, Naoya; Yasuhara, Kazuya; Duc, Minh

doi:10.2208/kaigan.68.i_1441

Cited by 2 publications

(1 citation statement)

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“…Traditionally, Administrative Zone vector data have been edited using aerial surveillance or field surveys, but optical imagery from satellites has recently become widely available. 3,4) However, synthetic aperture radar (SAR) observations are more useful than optical imagery because the former can be used to obtain day and night observations in all weather conditions. Previous studies have proposed methods to detect shorelines from SAR images using X-, C-, or L-bands.…”

Section: Introductionmentioning

confidence: 99%

Full Polarimetric ALOS-2/PALSAR-2 Analysis for the Location of Shorelines with Varying Orientation and Coastal Characteristics

Asaka

Nonaka

Sugimura

et al. 2020

AEROSPACE TECHNOLOGY JAPAN

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Every year, the Geospatial Information Authority of Japan collects improved Administrative Zone vector data from the administrative divisions of Japan and uses them to update the National Land Numerical Information (NLNI). The purpose of this study was to use the full polarimetric ALOS-2/PALSAR-2 data to qualitatively evaluate the accuracy of shoreline detection for updates to the NLNI. We also evaluated the shoreline data using ASTER/VNIR data with a spatial resolution similar to that of the ALOS-2/PALSAR-2. The combined image of edge images, i.e., surface scattering power (Ps), double-bounce scattering power (Pd), volume scattering power (Pv), and helix scattering power (Pc) were generally capable of identifying the shoreline on various types of coasts. The combined image has the advantage of being able to detect various terrain features and coastline orientation, which is not possible when using single polarization image analysis. The results of this study suggest that it is possible to update the NLNI Administrative Zone vector data using the full polarimetric ALOS-2/PALSAR-2 data.

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Section: Introductionmentioning

confidence: 99%