scholarly journals DETECTION OF VERTICAL DEFORMATION IN JAKARTA-BANDUNG HIGH SPEED TRAIN ROUTE USING X SAR AND SENTINEL

2019 ◽  
Vol 45 (4) ◽  
pp. 169-176
Author(s):  
Atriyon Julzarika
Keyword(s):  
Synthetic Aperture Radar ◽  
High Speed ◽  
Spatial Information ◽  
Synthetic Aperture ◽  
Vertical Deformation ◽  
High Speed Train ◽  
Differential Interferometry ◽  
Strategic Plans ◽  
Vertical Deformations

The Jakarta-Bandung high speed train is one of the national strategic plans. The high speed train route connects the Jakarta city to the Bandung city. The route needs to be detailed topography and checking of vertical deformations that occur along its route. This study aims to determine the conditions of vertical deformation in four stations and the Jakarta Bandung high speed train route. The spatial information of vertical deformation was extracted from the X SAR (2000) and Sentinel data (2018). The method used was Differential Interferometry Synthetic Aperture Radar (DinSAR). The vertical deformation was obtained from the reduction of topography in 2018 with the topography of 2000. Both of these topography must meet the tolerance of 1.96 sigma so that the resulting deformation is also more optimal. The results of this study can be used to reference the determination of high speed train route based on conditions of vertical deformation.

scholarly journals Determination Of Snow Facies and Ice Velocity Using Synthetic Aperture Radar Imagery

1990 ◽  
Vol 14 ◽  
pp. 330-330
Author(s):  
R.A. Bindschadler ◽  
P.L. Vornberger
Keyword(s):  
Synthetic Aperture Radar ◽  
Liquid Water ◽  
Snow Accumulation ◽  
Surface Velocity ◽  
Synthetic Aperture ◽  
Stream Network ◽  
Backscatter Signal ◽  
Volume Scattering ◽  
Aperture Radar

The properties of synthetic aperture radar (SAR) imagery are appropriate for its use to map snow facies. These facies, defined by Benson (1962), are subdivisions of the accumulation area of an ice sheet or polar glacier and represent the interaction of the ice mass with the climate through the processes of snow accumulation and melting. Changes in these climatic parameters are expected to cause changes in the extent and character of these facies. The ability of SAR to discriminate these facies is due to the significant amount of sub-surface volume scattering in the measured radar backscatter signal and the strong absorption of radar energy by liquid water. The amount of volume scattering is dependent on the size and distribution of scatterers in the medium. This dependence varies over the size range of snow grains to ice lenses. Specific examples of the ability to detect different scatterer populations in ice sheets with SAR are shown. Other examples are given to demonstrate the reduction of backscatter signal when liquid water is present.Another important application of SAR data is the determination of surface velocity. Coregistration of a SAR and a TM image spanning an eight-year period was completed for an area in south-western Greenland. The composite image shows that, while the network of surface streams is nearly unchanged, their distance from lakes upstream increased over the eight-year interval between images. Because the lakes are likely fixed in space, a result of surface depressions whose positions are determined by the stationary bedrock topography, the displacement of the stream network was used to calculate a surface velocity of 40 ± 10 m per year near the equilibrium line.

scholarly journals High-speed optical synthetic aperture radar target recognition system

2019 ◽  
Vol 2019 (19) ◽  
pp. 5940-5943
Author(s):  
Baozhang Yang ◽  
Jiacheng Ma ◽  
Yesheng Gao ◽  
Lei Liu ◽  
Xingzhao Liu
Keyword(s):  
Synthetic Aperture Radar ◽  
High Speed ◽  
Target Recognition ◽  
Recognition System ◽  
Synthetic Aperture ◽  
Radar Target ◽  
Radar Target Recognition ◽  
Aperture Radar

scholarly journals DESCRIPCIÓN DEL PROYECTO DE TESIS DOCTORAL: APLICACIÓN DE LA TECNOLOGIA DINSAR A LA PREVENCION DE LOS RIESGOS GEOLOGICOS NATURALES E INDUCIDOS EN CIUDADES E INFRAESTRUCTURAS PRIORITARIAS DE CENTROAMÉRICA

2021 ◽  
Author(s):  
Carlos García-Lanchares ◽  
Miguel Marchamalo ◽  
Candela Sancho
Keyword(s):  
Costa Rica ◽  
Synthetic Aperture Radar ◽  
El Salvador ◽  
Synthetic Aperture ◽  
Earth Surface ◽  
Differential Interferometry ◽  
Surface Monitoring ◽  
Aperture Radar

Este documento presenta la formulación y primeros pasos de un proyecto de Doctorado Industrial, desarrollado en elmarco del proyecto Kuk ahpán que tiene como objetivo comprender, monitorear y modelar procesos tectónicos a escalalitosférica en Centroamérica. Para ello, un equipo internacional de seis países (Nicaragua, Costa Rica, El Salvador,Guatemala, Noruega y España) trabaja integrando la investigación en diversas técnicas e ingenierías Geofísicas, con elobjetivo de actualizar los Mapas de Riesgo Sísmico de la Región, un insumo crítico. para los códigos de seguridad yconstrucción. El proyecto de doctorado propuesto se enmarca en la investigación y desarrollo de tecnologías para prevenirlos riesgos geológicos naturales e inducidos que afectan a ciudades e infraestructuras en países altamente vulnerables,utilizando la tecnología DInSAR (Differential Interferometry with Synthetic Aperture Radar) optimizada por la startupDetektia Earth Surface Monitoring en colaboración con la Universidad Politécnica de Madrid. La interferometría diferencialde radar de apertura sintética es una técnica basada en el procesamiento y análisis de series largas de imágenes de radarde apertura sintética. Esta tecnología proporciona registros (desde 1992) y movimientos actualizados en cualquiersuperficie en cualquier parte del mundo sin necesidad de instrumentación terrestre, con precisiones de alrededor de 1 mm/ año (velocidad). En este contexto, el radar satelital proporciona información valiosa sobre áreas muy grandes quecomplementan el trabajo de campo y la instrumentación in situ. Primero, comenzamos integrando datos DInSAR condiversos datos geofísicos como batimetría, geomagnetismo, gravimetría, perfiles sísmicos… para mapear completamentela falla Swan sobre Honduras y Guatemala. Usamos esta tecnología para abordar el riesgo sísmico sobre la falla y áreascercanas. En un segundo paso, aplicaremos esta evaluación de riesgo sísmico (incluyendo amenazas naturales yantropogénicas) en ciudades e infraestructuras críticas en Centroamérica.

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