scholarly journals Evaluation of Synthetic Aperture Radar Satellite Remote Sensing for Pavement and Infrastructure Monitoring

2016 ◽  
Vol 145 ◽  
pp. 752-759 ◽  
Author(s):  
Abdulkadir Ozden ◽  
Ardeshir Faghri ◽  
Mingxin Li ◽  
Kaz Tabrizi
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Satellite Remote Sensing ◽  
Synthetic Aperture ◽  
Infrastructure Monitoring ◽  
Radar Satellite ◽  
Aperture Radar

Economic Feasibility Study for Pavement Monitoring Using Synthetic Aperture Radar-Based Satellite Remote Sensing: Cost–Benefit Analysis

2017 ◽  
Vol 2645 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Mingxin Li ◽  
Ardeshir Faghri ◽  
Abdulkadir Ozden ◽  
Yixiang Yue
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Satellite Remote Sensing ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Economic Feasibility ◽  
Synthetic Aperture ◽  
Benefit Analysis ◽  
Pavement Monitoring ◽  
Aperture Radar

Recent developments in satellite remote sensing and the availability of high-resolution synthetic aperture radar (SAR) products have created an opportunity for the use of SAR-based monitoring for pavement and infrastructure management. No previous studies have performed a detailed cost–benefit analysis to analyze the economic feasibility of pavement monitoring through the use of SAR-based satellite remote sensing. The aim of this study was to fill this knowledge gap by proposing a comprehensive methodology to estimate the most important benefits and expenses associated with the use of data obtained from satellites by SAR and interferometric SAR for advanced monitoring of the infrastructure and to gain a better understanding of the strategies used to identify their effects. A general cost–benefit analysis framework that could serve as a pavement management tool for assessment of pavement deformations and deformation velocities with millimeter accuracy was developed. The results of a case study performed in the state of Delaware to demonstrate how the proposed approaches can be used to assess the impacts of SAR-based monitoring projects are also presented.

scholarly journals GOLD MINERAL PROSPECTING USING PHASED ARRAY TYPE L-BAND SYNTHETIC APERTURE RADAR (PALSAR) SATELLITE REMOTE SENSING DATA, CENTRAL GOLD BELT, MALAYSIA

2016 ◽  
Vol XLI-B8 ◽  
pp. 409-412 ◽  
Author(s):  
Amin Beiranvand Pour ◽  
Mazlan Hashim
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Peninsular Malaysia ◽  
Suture Zone ◽  
Synthetic Aperture ◽  
Sensing Data ◽  
Tropical Environments ◽  
Aperture Radar

The Bentong-Raub Suture Zone (BRSZ) of Peninsular Malaysia is one of the significant structural zones in Sundaland, Southeast Asia. It forms the boundary between the Gondwana-derived Sibumasu terrane in the west and Sukhothai arc in the east. The BRSZ is also genetically related to the sediment-hosted/orogenic gold deposits associated with the major lineaments and form-lines in the central gold belt Central Gold Belt of Peninsular Malaysia. In tropical environments, heavy tropical rainforest and intense weathering makes it impossible to map geological structures over long distances. Advances in remote sensing technology allow the application of Synthetic Aperture Radar (SAR) data in geological structural analysis for tropical environments. In this investigation, the Phased Array type L-band Synthetic Aperture Radar (PALSAR) satellite remote sensing data were used to analyse major geological structures in Peninsular Malaysia and provide detailed characterization of lineaments and form-lines in the BRSZ, as well as its implication for sediment-hosted/orogenic gold exploration in tropical environments. The major geological structure directions of the BRSZ are N-S, NNE-SSW, NE-SW and NW-SE, which derived from directional filtering analysis to PALSAR data. The pervasive array of N-S faults in the study area and surrounding terrain is mainly linked to the N-S trending of the Suture Zone. N-S striking lineaments are often cut by younger NE-SW and NW-SE-trending lineaments. Gold mineralized trends lineaments are associated with the intersection of N-S, NE-SW, NNW-SSE and ESE-WNW faults and curvilinear features in shearing and alteration zones. Lineament analysis on PALSAR satellite remote sensing data is a useful tool for detecting the boundary between the Gondwana-derived terranes and major geological features associated with suture zone especially for large inaccessible regions in tropical environments.

scholarly journals GOLD MINERAL PROSPECTING USING PHASED ARRAY TYPE L-BAND SYNTHETIC APERTURE RADAR (PALSAR) SATELLITE REMOTE SENSING DATA, CENTRAL GOLD BELT, MALAYSIA

2016 ◽  
Vol XLI-B8 ◽  
pp. 409-412 ◽  
Author(s):  
Amin Beiranvand Pour ◽  
Mazlan Hashim
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Peninsular Malaysia ◽  
Suture Zone ◽  
Synthetic Aperture ◽  
Sensing Data ◽  
Tropical Environments ◽  
Aperture Radar

The Bentong-Raub Suture Zone (BRSZ) of Peninsular Malaysia is one of the significant structural zones in Sundaland, Southeast Asia. It forms the boundary between the Gondwana-derived Sibumasu terrane in the west and Sukhothai arc in the east. The BRSZ is also genetically related to the sediment-hosted/orogenic gold deposits associated with the major lineaments and form-lines in the central gold belt Central Gold Belt of Peninsular Malaysia. In tropical environments, heavy tropical rainforest and intense weathering makes it impossible to map geological structures over long distances. Advances in remote sensing technology allow the application of Synthetic Aperture Radar (SAR) data in geological structural analysis for tropical environments. In this investigation, the Phased Array type L-band Synthetic Aperture Radar (PALSAR) satellite remote sensing data were used to analyse major geological structures in Peninsular Malaysia and provide detailed characterization of lineaments and form-lines in the BRSZ, as well as its implication for sediment-hosted/orogenic gold exploration in tropical environments. The major geological structure directions of the BRSZ are N-S, NNE-SSW, NE-SW and NW-SE, which derived from directional filtering analysis to PALSAR data. The pervasive array of N-S faults in the study area and surrounding terrain is mainly linked to the N-S trending of the Suture Zone. N-S striking lineaments are often cut by younger NE-SW and NW-SE-trending lineaments. Gold mineralized trends lineaments are associated with the intersection of N-S, NE-SW, NNW-SSE and ESE-WNW faults and curvilinear features in shearing and alteration zones. Lineament analysis on PALSAR satellite remote sensing data is a useful tool for detecting the boundary between the Gondwana-derived terranes and major geological features associated with suture zone especially for large inaccessible regions in tropical environments.

scholarly journals Remote Sensing of Epibenthic Shellfish Using Synthetic Aperture Radar Satellite Imagery

2015 ◽  
Vol 7 (4) ◽  
pp. 3710-3734 ◽  
Author(s):  
Sil Nieuwhof ◽  
Peter Herman ◽  
Norbert Dankers ◽  
Karin Troost ◽  
Daphne van der Wal
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Satellite Imagery ◽  
Synthetic Aperture ◽  
Radar Satellite ◽  
Aperture Radar

scholarly journals Earth Environmental Monitoring Using Multi-Temporal Synthetic Aperture Radar: A Critical Review of Selected Applications

2021 ◽  
Vol 13 (4) ◽  
pp. 604
Author(s):  
Donato Amitrano ◽  
Gerardo Di Martino ◽  
Raffaella Guida ◽  
Pasquale Iervolino ◽  
Antonio Iodice ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Microwave Remote Sensing ◽  
Radar Data ◽  
Synthetic Aperture ◽  
Special Focus ◽  
Arid Environments ◽  
Synthetic Aperture Radar Data ◽  
Multi Temporal ◽  
Aperture Radar

Microwave remote sensing has widely demonstrated its potential in the continuous monitoring of our rapidly changing planet. This review provides an overview of state-of-the-art methodologies for multi-temporal synthetic aperture radar change detection and its applications to biosphere and hydrosphere monitoring, with special focus on topics like forestry, water resources management in semi-arid environments and floods. The analyzed literature is categorized on the base of the approach adopted and the data exploited and discussed in light of the downstream remote sensing market. The purpose is to highlight the main issues and limitations preventing the diffusion of synthetic aperture radar data in both industrial and multidisciplinary research contexts and the possible solutions for boosting their usage among end-users.

Deformation information extraction method based on differential synthetic aperture radar interferometry

2020 ◽  
Vol 39 (4) ◽  
pp. 5311-5318
Author(s):  
Zhengquan Hu ◽  
Yu Liu ◽  
Xiaowei Niu ◽  
Guoping Lei
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Adaptive Filtering ◽  
Extraction Method ◽  
Deformation Monitoring ◽  
Radar Interferometry ◽  
Synthetic Aperture ◽  
Filtering Method ◽  
Synthetic Aperture Radar Interferometry ◽  
Aperture Radar

As aerospace technology, computer technology, network communication technology and information technology become more and more perfect, a variety of sensors for measurement and remote sensing are constantly emerging, and the ability to acquire remote sensing data is also continuously enhanced. Synthetic Aperture Radar Interferometry (InSAR) technology greatly expands the function and application field of imaging radar. Differential InSAR (DInSAR) developed based on InSAR technology has the advantages of high precision and all-weather compared with traditional measurement methods. However, DInSAR-based deformation monitoring is susceptible to spatiotemporal coherence, orbital errors, atmospheric delays, and elevation errors. Since phase noise is the main error of InSAR, to determine the appropriate filtering parameters, an iterative adaptive filtering method for interferogram is proposed. For the limitation of conventional DInSAR, to improve the accuracy of deformation monitoring as much as possible, this paper proposes a deformation modeling based on ridge estimation and regularization as a constraint condition, and introduces a variance component estimation to optimize the deformation results. The simulation experiment of the iterative adaptive filtering method and the deformation modeling proposed in this paper shows that the deformation information extraction method based on differential synthetic aperture radar has high precision and feasibility.

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