From ERS-1 TO SENTINEL-1: A big data challenge for 25 years of DInSAR observations

Lanari, R.

doi:10.1109/igarss.2015.7326054

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…These examples explain that the launch of the Sentinel-1 constellation opened the possibility to investigate several geohazards thanks to its short revisiting time, the worldwide coverage and the freely availability due to its scientific application purposes. Several examples can be found in the literature on landslide detection [15][16][17][18], characterization [19][20][21], and monitoring [22][23][24], subsidence phenomena analysis and monitoring [25][26][27][28][29], infrastructure monitoring [30][31][32][33], or mining instability analysis and monitoring [34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

EGMStream, a Desktop App for EGMS Data Downstream

Festa

Soldato

2023

Remote Sensing

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The recent release of European Ground Motion Service (EGMS) products implemented under the responsibility of the Copernicus Land Monitoring Service (CLMS) guarantees free and accessible Europe-wide ground motion data for ground deformation analysis at the local and regional scales. The need for value-adding services and tools for optimal dissemination of radar data from the Copernicus Sentinel-1 satellite mission urges the scientific community to find efficient solutions. A desktop R-based application with a user-friendly interface capable of automatically downloading and transforming EGMS products delivered as large .csv tiles, equivalent to a radar burst into geospatial databases, is presented here. EGMStream is a self-contained desktop app that enables users to systematically store, customize, and convert ground movement data into geospatial databases, burst per burst or for an area of interest directly selectable on the app interface.

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Section: Introductionmentioning

confidence: 99%

EGMStream, a Desktop App for EGMS Data Downstream

Festa

Soldato

2023

Remote Sensing

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NISAR Real Time Data Processing – A Simple and Futuristic View

Manavalan

2020

Communications in Computer and Information Science

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Landslide detection in La Paz City (Bolivia) based on time series analysis of InSAR data

Chen

Liu

2019

International Journal of Remote Sensing

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Geologically, La Paz City is located in an unstable area. During the history of La Paz city, many landslides have destroyed houses and valuable infrastructures. In the last decades, time series Interferometric Synthetic Aperture Radar (InSAR) technologies have demonstrated a great capacity for detecting slow ground displacement, achieving an accuracy of millimetre-level. In order to have a better landslide monitoring of La Paz city, in this study, the Sentinel-1 SAR images have been processed by Persistent Scatterer Interferometry (PSI) and the Small Baseline Subset (SBAS) techniques. The time span of the datasets is from March 2015 to August 2016. Both ascending and descending Synthetic Aperture Radar (SAR) images have been processed to obtain the line of sight (LOS) ground velocity, and then the results have been combined to estimate the up-down and east-west displacement. Several active movement areas have been identified, showing a surface velocity up to 158 mm year−1 westward and 49 mm year−1 eastward. Furthermore, two important findings have been discovered. First, the InSAR result has detected movement in Auquisamaa hill before the area collapsed (15 February 2017), where five houses are buried. Second, the InSAR result has identified that there are still some unstable sites in Callapa area, where a mega-landslide has destroyed more than a thousand of houses in February 2011. In conclusion, we have verified that the InSAR technology could be a very useful tool to help La Paz public institutions for a better management of urban planning, landslide areas delimitation and landslide risk mitigation.

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From ERS-1 TO SENTINEL-1: A big data challenge for 25 years of DInSAR observations

Cited by 3 publications

References 17 publications

EGMStream, a Desktop App for EGMS Data Downstream

EGMStream, a Desktop App for EGMS Data Downstream

NISAR Real Time Data Processing – A Simple and Futuristic View

Landslide detection in La Paz City (Bolivia) based on time series analysis of InSAR data

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