Next Article in Journal
Semi-Automatic Mapping of Tidal Cracks in the Fast Ice Region near Zhongshan Station in East Antarctica Using Landsat-8 OLI Imagery
Next Article in Special Issue
Anatomy of Subsidence in Tianjin from Time Series InSAR
Previous Article in Journal
Vineyard Detection and Vine Variety Discrimination from Very High Resolution Satellite Data
Previous Article in Special Issue
Identification of Structurally Damaged Areas in Airborne Oblique Images Using a Visual-Bag-of-Words Approach
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2016, 8(3), 237; doi:10.3390/rs8030237

Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site

1
Department of Earth Sciences, Università di Firenze, via La Pira 4, 50121 Firenze, Italy
2
Norwegian Water Resources and Energy Directorate (NVE), Ødegårdsvegen 176, 6200 Stranda, Norway
3
Norut Northern Research Institute, 9294 Tromsø, Norway
4
Norwegian Geotechnical Institute (NGI), Sognsveien 72, 0806 Oslo, Norway
*
Author to whom correspondence should be addressed.
Academic Editors: Zhenhong Li, Roberto Tomas, Heiko Balzter, Josef Kellndorfer and Prasad S. Thenkabail
Received: 10 December 2015 / Revised: 26 January 2016 / Accepted: 4 March 2016 / Published: 12 March 2016
(This article belongs to the Special Issue Earth Observations for Geohazards)
View Full-Text   |   Download PDF [9685 KB, uploaded 23 March 2016]   |  

Abstract

This work concerns a proposal of the integration of InSAR (Interferometric Synthetic Aperture Radar) data acquired by ground-based (GB) and satellite platforms. The selected test site is the Åknes rockslide, which affects the western Norwegian coast. The availability of GB-InSAR and satellite InSAR data and the accessibility of a wide literature make the landslide suitable for testing the proposed procedure. The first step consists of the organization of a geodatabase, performed in the GIS environment, containing all of the available data. The second step concerns the analysis of satellite and GB-InSAR data, separately. Two datasets, acquired by RADARSAT-2 (related to a period between October 2008 and August 2013) and by a combination of TerraSAR-X and TanDEM-X (acquired between July 2010 and October 2012), both of them in ascending orbit, processed applying SBAS (Small BAseline Subset) method, are available. GB-InSAR data related to five different campaigns of measurements, referred to the summer seasons of 2006, 2008, 2009, 2010 and 2012, are available, as well. The third step relies on data integration, performed firstly from a qualitative point of view and later from a semi-quantitative point of view. The results of the proposed procedure have been validated by comparing them to GPS (Global Positioning System) data. The proposed procedure allowed us to better define landslide sectors in terms of different ranges of displacements. From a qualitative point of view, stable and unstable areas have been distinguished. In the sector concerning movement, two different sectors have been defined thanks to the results of the semi-quantitative integration step: the first sector, concerning displacement values higher than 10 mm, and the 2nd sector, where the displacements did not exceed a 10-mm value of displacement in the analyzed period. View Full-Text
Keywords: satellite interferometry; ground-based radar; radar data integration; rockslide monitoring satellite interferometry; ground-based radar; radar data integration; rockslide monitoring
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Bardi, F.; Raspini, F.; Ciampalini, A.; Kristensen, L.; Rouyet, L.; Lauknes, T.R.; Frauenfelder, R.; Casagli, N. Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site. Remote Sens. 2016, 8, 237.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top