scholarly journals Urban Area Geodynamic Risk Mapping Using Long-Term Time Series of Sentinel-1 Satellite Radar Interferometry

2018 ◽  
Vol 40 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Sergey Stankevich ◽  
Iryna Piestova ◽  
Olga Titarenko ◽  
Volodymyr Filipovych ◽  
Andre Samberg ◽  
...  
Keyword(s):  
Time Series ◽  
Urban Area ◽  
Risk Mapping ◽  
Radar Interferometry ◽  
Satellite Radar

Monitoring urban area by means of long term DInSAR time series

2015 ◽  
Author(s):  
Maria Marsella ◽  
Manuela Bonano ◽  
Peppe Junior Valentino D'aranno ◽  
Michele Manunta ◽  
Chandrakanta Ojha ◽  
...  
Keyword(s):  
Time Series ◽  
Urban Area

scholarly journals Site-Specific Analysis of Deformation Patterns on Archaeological Heritage by Satellite Radar Interferometry

2012 ◽  
Vol 1374 ◽  
pp. 283-295 ◽  
Author(s):  
Deodato Tapete ◽  
Francesca Cigna
Keyword(s):  
Time Series ◽  
Radar Interferometry ◽  
Campi Flegrei ◽  
Volcanic Complex ◽  
Site Specific ◽  
Archaeological Heritage ◽  
Heritage Sites ◽  
Persistent Scatterers ◽  
Satellite Radar ◽  
Deformation Patterns

ABSTRACTExploitation of satellite radar interferometry on huge cultural heritage sites can facilitate the recognition of spatially distributed deformation patterns, whose morphology, jointly with the analysis of displacement time series, could clarify the nature of ongoing deterioration phenomena threatening the conservation of exposed archaeological heritage. Radar-interpretation is used on selected case studies located in Southern Italy to demonstrate the feasibility of Persistent Scatterers (PS) analyses for site-specific detection of superficial deformation, correlated to natural and/or human-induced instability processes. Evidence of subsidence for the radar targets identified within the archaeological area of Capo Colonna, Central Calabria, confirms the susceptibility of the entire promontory to ground instability, with potential effects on the ruins. Similarly, the uplift/subsidence patterns on the monumental area of Pozzuoli, W of Naples, testify the exposure of the geologic substratum underneath the archaeological structures to the active dynamics of the Campi Flegrei volcanic complex. Finally, the satellite analysis on the Valley of the Temples in Agrigento, Sicily, exemplifies the capability to distinguish differential displacement trends and seasonal variations within single PS time series.

scholarly journals Aerosol optical depth retrievals at the Izaña Atmospheric Observatory from 1941 to 2013 by using artificial neural networks

2016 ◽  
Vol 9 (1) ◽  
pp. 53-62 ◽  
Author(s):  
R. D. García ◽  
O. E. García ◽  
E. Cuevas ◽  
V. E. Cachorro ◽  
A. Barreto ◽  
...  
Keyword(s):  
Neural Networks ◽  
Time Series ◽  
Artificial Neural Networks ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Mineral Dust ◽  
Dust Particles ◽  
Filter Radiometer ◽  
Artificial Neural

Abstract. This paper presents the reconstruction of a 73-year time series of the aerosol optical depth (AOD) at 500 nm at the subtropical high-mountain Izaña Atmospheric Observatory (IZO) located in Tenerife (Canary Islands, Spain). For this purpose, we have combined AOD estimates from artificial neural networks (ANNs) from 1941 to 2001 and AOD measurements directly obtained with a Precision Filter Radiometer (PFR) between 2003 and 2013. The analysis is limited to summer months (July–August–September), when the largest aerosol load is observed at IZO (Saharan mineral dust particles). The ANN AOD time series has been comprehensively validated against coincident AOD measurements performed with a solar spectrometer Mark-I (1984–2009) and AERONET (AErosol RObotic NETwork) CIMEL photometers (2004–2009) at IZO, obtaining a rather good agreement on a daily basis: Pearson coefficient, R, of 0.97 between AERONET and ANN AOD, and 0.93 between Mark-I and ANN AOD estimates. In addition, we have analysed the long-term consistency between ANN AOD time series and long-term meteorological records identifying Saharan mineral dust events at IZO (synoptical observations and local wind records). Both analyses provide consistent results, with correlations  >  85 %. Therefore, we can conclude that the reconstructed AOD time series captures well the AOD variations and dust-laden Saharan air mass outbreaks on short-term and long-term timescales and, thus, it is suitable to be used in climate analysis.

scholarly journals An Analysis of Vertical Crustal Movements along the European Coast from Satellite Altimetry, Tide Gauge, GNSS and Radar Interferometry

2021 ◽  
Vol 13 (11) ◽  
pp. 2173
Author(s):  
Kamil Kowalczyk ◽  
Katarzyna Pajak ◽  
Beata Wieczorek ◽  
Bartosz Naumowicz
Keyword(s):  
Time Series ◽  
Satellite Altimetry ◽  
Tide Gauge ◽  
Measurement Techniques ◽  
Radar Interferometry ◽  
Vertical Movements ◽  
Persistent Scatterer ◽  
Gnss Time Series ◽  
Vertical Crustal Movements ◽  
European Coast

The main aim of the article was to analyse the actual accuracy of determining the vertical movements of the Earth’s crust (VMEC) based on time series made of four measurement techniques: satellite altimetry (SA), tide gauges (TG), fixed GNSS stations and radar interferometry. A relatively new issue is the use of the persistent scatterer InSAR (PSInSAR) time series to determine VMEC. To compare the PSInSAR results with GNSS, an innovative procedure was developed: the workflow of determining the value of VMEC velocities in GNSS stations based on InSAR data. In our article, we have compiled 110 interferograms for ascending satellites and 111 interferograms for descending satellites along the European coast for each of the selected 27 GNSS stations, which is over 5000 interferograms. This allowed us to create time series of unprecedented time, very similar to the time resolution of time series from GNSS stations. As a result, we found that the obtained accuracies of the VMEC determined from the PSInSAR are similar to those obtained from the GNSS time series. We have shown that the VMEC around GNSS stations determined by other techniques are not the same.

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