Ground Displacement Trends in an Urban Environment Using Multi-Temporal InSAR Analysis and two Decades of Multi-Sensor Satellite-Based SAR Imagery Article Swipe
YOU?
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· 2015
· Open Access
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· DOI: https://doi.org/10.5270/fringe2015.pp106
This exploratory research used three sets of single polarized synthetic aperture radar (SAR) satellite data and a multi-temporal radar interferometry (InSAR) methodology to determine the spatial evolution and ground displacement trends of several industrial parks located in the metropolitan area of Bucharest, Romania. From 70candidate areas, 20 large industrial parks were selected for analysis and interpretation. InSAR analysis used SAR data acquired between 1992 and 2014 by ERS-1/-2, ENVISAT, and TerraSAR-X satellites. Ground movement patterns identified before and after 2000 were linked to groundwater table investigations based on 25 water wells, located on or in the proximity of these areas. The analysis revealed an initial subsidence or no change in uplift areas before 2000, followed by a return to zonal movement. This trend may also be related to the shutting down of industries that consumed large amounts of water, which increased deep groundwater pressure. Only one continuous subsidence trend was identified for an industrial area located south of the city, an area which continues to be active over time. Ongoing research is focused on using traditional geological andgeomorphologic investigations, as well as comparisons with fieldGlobal Navigation Satellite System (GNSS) data.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5270/fringe2015.pp106
- http://proceedings.esa.int/files/106.pdf
- OA Status
- gold
- Cited By
- 9
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2333775946
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2333775946Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5270/fringe2015.pp106Digital Object Identifier
- Title
-
Ground Displacement Trends in an Urban Environment Using Multi-Temporal InSAR Analysis and two Decades of Multi-Sensor Satellite-Based SAR ImageryWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-05-01Full publication date if available
- Authors
-
Iuliana Armaș, Marius Necsoiu, Diana Mendes, Mihaela Gheorghe, Diana GheorgheList of authors in order
- Landing page
-
https://doi.org/10.5270/fringe2015.pp106Publisher landing page
- PDF URL
-
https://proceedings.esa.int/files/106.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://proceedings.esa.int/files/106.pdfDirect OA link when available
- Concepts
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Interferometric synthetic aperture radar, Remote sensing, Satellite, Displacement (psychology), Synthetic aperture radar, Satellite imagery, Geodesy, Geology, Computer science, Engineering, Aerospace engineering, Psychology, PsychotherapistTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
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2021: 1, 2020: 1, 2019: 1, 2018: 2, 2017: 3Per-year citation counts (last 5 years)
- References (count)
-
13Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.data | 14, 60 |
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| abstract_inverted_index.after | 78 |
| abstract_inverted_index.areas | 111 |
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| abstract_inverted_index.city, | 159 |
| abstract_inverted_index.data. | 189 |
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| abstract_inverted_index.parks | 34, 49 |
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| abstract_inverted_index.areas. | 99 |
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| abstract_inverted_index.wells, | 90 |
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| abstract_inverted_index.amounts | 136 |
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| abstract_inverted_index.patterns | 74 |
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| abstract_inverted_index.synthetic | 9 |
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| abstract_inverted_index.geological | 176 |
| abstract_inverted_index.identified | 75, 150 |
| abstract_inverted_index.industrial | 33, 48, 153 |
| abstract_inverted_index.industries | 132 |
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| abstract_inverted_index.satellites. | 71 |
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| abstract_inverted_index.multi-temporal | 17 |
| abstract_inverted_index.interpretation. | 55 |
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| abstract_inverted_index.andgeomorphologic | 177 |
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| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
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| sustainable_development_goals[0].display_name | Sustainable cities and communities |
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| citation_normalized_percentile.is_in_top_10_percent | True |