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Software . 2018
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Software . 2018
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Automated SNAP Sentinel-1 DInSAR processing for StaMPS PSI with open source tools

Authors: Jose Manuel Delgado Blasco; Michael Foumelis;

Automated SNAP Sentinel-1 DInSAR processing for StaMPS PSI with open source tools

Abstract

This software package provide a set of python scripts that call routines from the ESA SentiNel Application Platform (SNAP) allows to perform automatic interferogram stacking that are compatible with StaMPS PSI. The initial version works with Sentinel-1 IW SLC products. When using this software package please reference to this DOI (doi:10.5281/zenodo.1308835 ) and to the paper: M. Foumelis, J. M. Delgado Blasco, Y-L. Desnos, M. Engdahl, D. Fernandez, L. Veci, J. Lu and C. Wong. "ESA SNAP - StaMPS Integrated processing for Sentinel-1 Persistent Scatterer Interferometry". IEEE International Geoscience and Remote Sensing Symposium. IGARSS 2018.

{"references": ["Foumelis, Michael et al (2018). ESA SNAP \u2013 StaMPS integrated processing for Sentinel-1 Persistent Scatterer Interferometry. IEEE Int. Geoscience and Remote Sensing Symposium, IGARSS 2018."]}

Keywords

Automated DInSAR processing, SNAP, StaMPS, Persistent Scatterers Interferometry

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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4
Top 10%
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49