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Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data

In the past, different approaches for automated landslide identification based on multispectral satellite remote sensing were developed to focus on the analysis of the spatial distribution of landslide occurrences related to distinct triggering events.

External Contact Person: 

Robert Behling

Email: 

behling [at] gfz-potsdam.de
Undefined

Bibliographic reference: 

Behling, R., Roessner, S., Kaufmann, H., & Kleinschmit, B. (2014). Automated spatiotemporal landslide mapping over large areas using rapideye time series dataRemote Sensing6(9), 8026-8055.

Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images

We present a method for the semi-automatic recognition and mapping of recent rainfall induced shallow landslides. The method exploits VHR panchromatic and HR multispectral satellite images, and was tested in a 9.4 km2 area in Sicily, Italy, where on 1 October 2009 a high intensity rainfall event caused shallow landslides, soil erosion, and inundation.

External Contact Person: 

Alessandro Mondini

Email: 

Alessandro.Mondini [at] irpi.cnr.it
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Bibliographic reference: 

Mondini, A. C., Guzzetti, F., Reichenbach, P., Rossi, M., Cardinali, M., & Ardizzone, F. (2011). Semi-automatic recognition and mapping of rainfall induced shallow landslides using optical satellite images. Remote Sensing of Environment115(7), 1743-1757.

Remote-sensing techniques for analysing landslide kinematics: a review

Surface displacement field of landslides is a key parameter to access to their geometries and mechanical properties. Surface displacements can be calculated using remote-sensing methods such as interferometry for radar data and image correlation for optical data.

External Contact Person: 

Christophe Delacourt

Email: 

christophe.delacourt [at] univ-brest.fr
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Bibliographic reference: 

Delacourt, C., Allemand, P., Berthier, E., Raucoules, D., Casson, B., Grandjean, P., ... & Varel, E. (2007). Remote-sensing techniques for analysing landslide kinematics: a review. Bulletin de la Société Géologique de France,178(2), 89-100.

Quantitative assessment of landslide susceptibility using high-resolution

As a geological

External Contact Person: 

N.W. Park

Email: 

nwpark [at] kigam.re.kr
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Bibliographic reference: 

Park, N. W., & Chi, K. H. (2008). Quantitative assessment of landslide susceptibility using high‐resolution remote sensing data and a generalized additive modelInternational Journal of Remote Sensing29(1), 247-264.

PSInSAR and DInSAR methodology comparison and their applicability in the field of surface deformations - A case of NW Slovenia

In the recent years radar interferometry (InSAR) has become an important tool in various studies. It can be used to produce accurate digital elevation models and observe small surface displacements.

External Contact Person: 

Kristof Ostir

Email: 

kristof [at] zrc-sazu.si
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Bibliographic reference: 

Oštir, K., & Komac, M. (2007). PSInSAR and DInSAR methodology comparison and their applicability in the field of surface deformations—a case of NW Slovenia. Geologija50(1), 77-96.

Object-oriented mapping of landslides using random forests

Landslide inventory mapping is an indispensable prerequisite for reliable

External Contact Person: 

Email: 

Undefined

Bibliographic reference: 

Stumpf, A., & Kerle, N. (2011). Object-oriented mapping of landslides using Random Forests. Remote Sensing of Environment115(10), 2564-2577.

Using multi-temporal remote sensor imagery to detect earthquake-triggered landslides

Landslides are a major type of geohazards claiming thousands of casualties and billions of dollars in property damages every year. Catastrophic landslide activities are often triggered by some extreme events such as earthquakes, excessive precipitations, or volcanic eruptions.

External Contact Person: 

Email: 

Undefined

Bibliographic reference: 

Yang, X., & Chen, L. (2010). Using multi-temporal remote sensor imagery to detect earthquake-triggered landslides. International Journal of Applied Earth Observation and Geoinformation12(6), 487-495.

Morfeo Project: C- and X-band SAR interferometric analysis over alpine regions (Italy)

In the present work we present first results of ground deformation measurements inferred through repeat-pass Synthetic Aperture Radar (SAR) Interferometry (In-SAR) in C- and X-band over an Italian Alpine area, in Lombardia region.

External Contact Person: 

Raffaele Nutricato

Email: 

raffaele.nutricato [at] gapsrl.eu
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Bibliographic reference: 

Nutricato, R., Rana, F., Nitti, D. O., D’Aprile, C., Bovenga, F., Frattini, P., ... & Candela, L. (2009). MORFEO PROJECT: C-AND X-BAND SAR INTERFEROMETRIC ANALYSIS OVER ALPINE REGIONS (ITALY). In Fringe 2009 Workshop.

Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods

Recognition and classification of landslides is a critical requirement in pre- and post-

External Contact Person: 

Email: 

Undefined

Bibliographic reference: 

Martha, T. R., Kerle, N., Jetten, V., van Westen, C. J., & Kumar, K. V. (2010). Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods. Geomorphology,116(1), 24-36.

Analysis with C- and X-band satellite SAR data of the Portalet landslide area

This paper describes the use of the Stable Point Network technique, a Persistent Scatterer Interferometry SAR technique, for the analysis of the Portalet landslide area (Central Pyrenees, Spain). For this purpose, different SAR datasets acquired by ERS-1, ERS-2, ENVISAT and TerraSAR-X satellites have been analysed.

External Contact Person: 

Email: 

Undefined

Bibliographic reference: 

Herrera, G., Notti, D., García-Davalillo, J. C., Mora, O., Cooksley, G., Sánchez, M., ... & Crosetto, M. (2011). Analysis with C-and X-band satellite SAR data of the Portalet landslide area. Landslides8(2), 195-206.

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