Abstract

Numerous packets of internal waves were revealed in Advanced Land Observing Satellite Phased Array L-band Synthetic Aperture Radar (ALOSPALSAR) images of the Lombok Strait area, and high-resolution and quick look images were used for their detection and analysis. The parameters of internal waves, such as the number of waves in a packet, crest length, and propagation velocity were estimated from the images. This paper describes the use of PALSAR imagery for internal wave frequency detection and presents the results of a survey that detected 90 internal wave occurrences with ScanSAR and Fine Mode PALSAR imagery over the period May 2006 to April 2011. The paper also discusses the spatial and temporal distribution of internal wave occurrences in the Lombok Strait area.

Highlights

  • The ability of Synthetic Aperture Radar (SAR) to detect and measure oceanic internal waves has been widely proven since the launch of SEASAT in 1978 and launch of both the USSR Almaz-1 space station and the European Remote Sensing Satellite (ERS-1) in 1991

  • This paper describes the use of PALSAR imagery for internal wave frequency detection and presents the results of a survey that detected 90 internal wave occurrences with ScanSAR and Fine Mode PALSAR imagery over the period May 2006 to April 2011

  • We present some of the clearest manifestations of internal waves propagating from the sill toward the north and south found in PALSAR images

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Summary

Introduction

The ability of Synthetic Aperture Radar (SAR) to detect and measure oceanic internal waves has been widely proven since the launch of SEASAT in 1978 and launch of both the USSR Almaz-1 space station and the European Remote Sensing Satellite (ERS-1) in 1991. The use of SAR imagery for internal wave detection in the Lombok Strait area has been presented in several recent studies (Mitnik et al, 2000; Susanto et al, 2005; Mitnik, 2006; Karang et al, 2011). These studies demonstrated the utility of C-band SAR imagery acquired by the European Remote Sensing satellites (ERS-1, ERS-2, and Envisat) for the detection and parameter estimation of internal waves. Vol 1, No 2; 2012 images of the Lombok Strait area with the surface imprints of nonlinear internal waves are considered, and the characteristics of their spatial-temporal variability are presented

The Physical Oceanography of Lombok Strait
Dataset
Prominent PALSAR Signatures of Internal Waves
Spatial Distribution of Internal Waves

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