SAR monitoring of progressive and seasonal ground deformation using the permanent scatterers technique
By C. Colesanti, Alessandro Ferretti, Fabrizio Novali, Claudio Maria Prati, Fabio Rocca. IEEE Transactions on Geoscience and Remote Sensing, 2003
476 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Civil and Structural Engineering, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/90a257eca31a43741f5ed5ddfe3ca0eacd523878
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- S. Swenson
- María Cuevas-González
- Janusz Wasowski
- Fabio Bovenga
- Oriol Monserrat
- Teng Wang
- Núria Devanthéry
- James S. Famiglietti
In Environmental Engineering
- María Cuevas-González
- Janusz Wasowski
- Fabio Bovenga
- Oriol Monserrat
- Teng Wang
- Núria Devanthéry
- Daniele Perissin
- Bruno Crippa
Citations in the corpus
- Repeat-Pass SAR Interferometry With Partially Coherent Targets (2012, background): “More precisely, as derived in [21], we can approximate them with the following relations:”
- Quantifying renewable groundwater stress with GRACE (2015, background): “Remote sensing has been shown to greatly improve estimates of groundwater depletion [Colesanti et al., 2003; Schmidt & Bürgmann, 2003; Lanari et al., 2004; Rodell et al., 2009; Famiglietti et al., 2011; Voss et al., 2013; Castle et al., 2014], specifically, with the Gravity Recovery and Climate Expe”
- Persistent Scatterer Interferometry: A review (2016, methodology): “Colesanti et al. (2003) proposed an extension of the PSInSARTM to monitor seasonal ground deformation phenomena.”
- Investigating landslides and unstable slopes with satellite Multi Temporal Interferometry: Current issues and future perspectives (2014, background): “…Usai, 2003), which overcome some of the limitations of conventional differential SAR interferometry (DInSAR) and iii) the presentation of several successful examples of MTI applications to landslide investigations (e.g. Colesanti et al., 2003a; Hilley et al., 2004; Colesanti and Wasowski, 2006).”