Name
Title | ||
|---|---|---|
Long term deformation time series: 10 years of Earth observation through ENVISAT multi-mode ASAR sensor |
Abstract | ||
|---|---|---|
We present some of the main advances on long term deformation time series analysis achieved thanks to the 10 years of operation of ENVISAT ASAR sensor. This is done by considering a number of selected case studies, which are mostly based on the use of the Small BAseline Subset (SBAS) technique. In particular, we show how we benefit from the ENVISAT data availability to extend the ERS time series, thus allowing us to obtain almost 20 years of deformation history. Moreover, we demonstrate how the multi-mode capability of ENVISAT permits improving the temporal sampling in SBAS time series. Finally, we introduce a novel technique, tested on ENVISAT data, to generate displacement time series in areas affected by large deformation phenomena. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IGARSS.2012.6351151 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
geophysical image processing,geophysical techniques,radar imaging,remote sensing by radar,synthetic aperture radar,time series,ENVISAT data,ERS time series,Earth observation data,Envisat multimode ASAR sensor,SBAS time series,deformation phenomena,displacement time series,long term deformation time series analysis,small baseline subset technique,DInSAR,ENVISAT,Pixel-Offset,SBAS,ScanSAR | Time series,Radar imaging,Data availability,Computer science,Synthetic aperture radar,Remote sensing,GNSS augmentation,Earth observation,Sampling (statistics),Deformation (mechanics),Geodesy | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4673-1158-8 | 978-1-4673-1158-8 | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. Berardino | 1 | 730 | 85.58 |
| Manuela Bonano | 2 | 60 | 12.83 |
| Fabiana Calò | 3 | 61 | 7.38 |
| Francesco Casu | 4 | 85 | 18.44 |