Change Detection Trends in Urban Areas With Remote Sensing and Socio-Economic Diagnosis in Bucharest City

Radutu, Alina; S�ndru, Maria Ioana Vlad; Nedelcu, Ion; Poenaru, Violeta

doi:10.5593/sgem2021/2.1/s10.62

Cited by 3 publications

(2 citation statements)

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“…In their methodology, they applied the Random Forest classifier in both optical Sentinel-2 and radar Sentinel-1 images. Moreover, Radudu et al [17] used Sentinel-1 products for three years (2016-2019) to analyse the dynamics of the Bucharest's urban population, using change detection techniques in SNAP. SNAP's change detection process has also been applied in other scientific fields.…”

Section: Methodsmentioning

confidence: 99%

An Application of Machine Learning Algorithms by Synergetic Use of SAR and Optical Data for Monitoring Historic Clusters in Cypriot Cities

et al. 2023

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In an era of rapid technological improvements, state-of-the-art methodologies and tools dedicated to protecting and promoting our cultural heritage should be developed and extensively employed in the contemporary built environment and lifestyle. At the same time, sustainability principles underline the importance of the continuous use of historic or vernacular buildings as part of the building stock of our society. Adopting a holistic, integrated, multi-disciplinary strategy can link technological innovation with the conservation and restoration of heritage buildings. This paper presents the ongoing research and results of the application of Machine Learning methods for the remote monitoring of the built environment of the historic cluster in Cypriot cities. This study is part of an integrated, multi-scale, and multi-disciplinary study of heritage buildings, with the end goal of creating an online HBIM platform for urban monitoring.

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Section: Methodsmentioning

confidence: 99%

An Application of Machine Learning Algorithms by Synergetic Use of SAR and Optical Data for Monitoring Historic Clusters in Cypriot Cities

et al. 2023

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“…In this context, a widely used tool is SNAP [12], a standard, open-source operational platform dedicated to Sentinel data exploitation. For instance, Radudu et al [13] used Sentinel-1 products for three years (2016)(2017)(2018)(2019) to analyze the dynamics of the Bucharest city population using change detection techniques in SNAP. SNAP's change detection process has also been applied in other scientific fields.…”

Section: Remote Sensing For Built Environment Observationmentioning

confidence: 99%

An Application of Machine Learning Algorithms by Synergetic Use of SAR and Optical Data, for Monitoring Historic Clusters in Cypriot Cities

Tzima¹,

Αγαπίου²,

Lysandrou³

et al. 2023

Preprint

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In an era of rapid technological improvements, state-of-the-art methodologies and tools dedicated to protecting and promoting our cultural heritage should be developed and extensively employed in the contemporary built environment and lifestyle. At the same time, sustainability principles underline the importance of the continuous use of historic or vernacular buildings as part of the building stock of our society. Adopting a holistic, integrated, multi-disciplinary strategy can bridge technological innovation with conserving and restoring heritage buildings. The paper presents ongoing research and results of the application of Machine Learning methods for the remote monitoring of the built environment of the historic cluster in Cypriot cities. This study is part of an integrated, multi-scale, and multi-discipline study of heritage buildings towards the creation of an online HBIM platform for urban monitoring.

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Groundwater and Urban Planning Perspective

Radutu

Luca

Gogu

2022

Water

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An analysis of 17 Romanian cities’ Urban General Plans showed that urban planning documents do not satisfactorily rely on groundwater information. The associated hydrogeological supporting studies include only general recommendations; however, they should include specifications that improve water-balance or detail the need to implement monitoring systems to monitor groundwater levels. The studies do not recommend that any special construction measures should be implemented for future infrastructure elements and do not include maps delimiting the particular geotechnical and hydrogeological characteristics. A study conducted on an urban river corridor using satellite remote sensing and a methodology characterizing the chosen zone clearly shows a major concordance between the water level and vertical displacements. In addition, the presence of urban anthropogenic strata associated with the groundwater level fluctuations showed amplified vertical displacements of the ground when compared to the areas where there are natural deposits. The methodology combines subsidence occurrence, land-cover changes, hydrogeological, geological, and hydrological characteristics; climatic aspects; the location; the extension of old quarries; and the last 100 years of topographical changes. These observations emphasize the need for accurate studies to properly discriminate between the phenomena and processes that generate subsidence, which must be used systematically to support to support the general urban plans of cities and as the documentation of future developments.

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Change Detection Trends in Urban Areas With Remote Sensing and Socio-Economic Diagnosis in Bucharest City

Cited by 3 publications

References 0 publications

An Application of Machine Learning Algorithms by Synergetic Use of SAR and Optical Data for Monitoring Historic Clusters in Cypriot Cities

An Application of Machine Learning Algorithms by Synergetic Use of SAR and Optical Data for Monitoring Historic Clusters in Cypriot Cities

An Application of Machine Learning Algorithms by Synergetic Use of SAR and Optical Data, for Monitoring Historic Clusters in Cypriot Cities

Groundwater and Urban Planning Perspective

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