Titlebook: Advances in Remote Sensing for Infrastructure Monitoring; Vernon Singhroy Book 2021 Springer Nature Switzerland AG 2021 Urban infrastructu

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The Role of Landsat-8 Multispectral Data in Spill Response: Three Case Studiesly saline spill was estimated using moisture indices and a spectral matching technique was used to verify the absence of spill on surface before it was reported. These case studies also utilized Sentinel-2 imagery for better understanding of post-spill remediation process and exemplify how publicly

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Somayya Madakam,Rajeev K. Revulagaddabust Earth observation system. The results obtained are presented and discussed through the case studies of Pistoia and Guasticce (Livorno), where land subsidence threatens linear and areal strategic infrastructures. The examples highlight the capability of radar satellite missions to provide regula

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Tiwari Siddharth,Yash Daultani,R. Rajeshlway companies with vital information to understand geohazard risk, predict landslide movement, improve the safety, security and resilience of national transportation infrastructure, and reduce such risks to the economy, environment, natural resources and public safety.

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Computational Management Sciencemoving landslides with a surface displacement of about 2?cm/year and debris flows on the bed of a gully. The InSAR displacement map helps to recognize the possible deep-seated landslides not previously known using a DTM. The field validation of the InSAR results from the proposed approach confirmed

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Computational Management Scienceture. Two sets of satellite imagery with different look angles were used to decompose the oblique measurements into vertical and longitudinal displacements for direct comparison with theoretical predictions. The results confirmed the validity of the approach and indicated which bridge features can b

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Pierre-Antoine Mudry,Florentina Paraschivmitations and opportunities of InSAR, and making a clear case to satellite data providers on what specifications (resolution, frequency, processing assumptions) would unlock using such datasets for wider use in monitoring of infrastructure. This work examines the application of InSAR for bridge moni

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Introduction to Molecular Dynamics open-source tools) point data clouds in the building extraction process. Results indicate that vendor-classified point cloud data with a minimum density of 4?pts/m. is sufficient to accurately extract building footprints with >75% confidence. For re-classified LiDAR a density of at least 8?pts/m. w