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Howard A. Zebker

Researcher at Stanford University

Publications -  304
Citations -  30934

Howard A. Zebker is an academic researcher from Stanford University. The author has contributed to research in topics: Radar & Synthetic aperture radar. The author has an hindex of 74, co-authored 294 publications receiving 27462 citations. Previous affiliations of Howard A. Zebker include Harvard University & Jet Propulsion Laboratory.

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High quality InSAR data linked to seasonal change in hydraulic head for an agricultural area in the San Luis Valley, Colorado

TL;DR: In this paper, the authors applied small baseline subset (SBAS) analysis to InSAR data collected from 1992 to 2001 and showed high levels of correlation, denoting high quality data, in areas between the center pivot irrigation circles, where the lack of water results in little surface vegetation.
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Global drainage patterns and the origins of topographic relief on Earth, Mars, and Titan

TL;DR: In this paper, the authors used a numerical landscape evolution model to demonstrate that short-wavelength deformation causes drainage directions to diverge from longwavelength topography, as observed on Earth.
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Estimating temporal changes in hydraulic head using InSAR data in the San Luis Valley, Colorado

TL;DR: In this article, the authors investigated the extent to which spatially and temporally dense measurements of deformation from Interferometric Synthetic Aperture Radar (InSAR) data can be used to fill in spatial and temporal gaps in the head data set by calibrating the InSAR data with head at the monitoring well locations.
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ScanSAR-to-Stripmap Mode Interferometry Processing Using ENVISAT/ASAR Data

TL;DR: Images of ENVISAT/ASAR data acquired over Hawaii are presented in which data acquired roughly weekly in ScanSAR mode are combined with ENVISat/ASar conventional stripmap mode data to form interferograms at a much denser temporal spacing.
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InSAR detection of residual settlement of an ocean reclamation engineering project: a case study of Hong Kong International Airport

TL;DR: In this article, the authors used persistent scatterer interferometry (PSI) and ENVISAT (European Satellite) advanced synthetic aperture radar (ASAR) data to detect the residual settlement rates from 19 April 2006 to 9 January 2008.