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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
Undefined

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
Undefined

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.

Advanced low- and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales

A proper analysis of slow-moving landslides calls for several efforts aiming at their characterization and mapping. Considering the uncertainties related to the landslide inventorymaps the integration of conventional techniques with remote sensing data, such as differential SAR interferometry (DInSAR), can furnish a v
Undefined

Bibliographic reference: 

Cascini, L., Fornaro, G., & Peduto, D. (2010). Advanced low-and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales.Engineering Geology112(1), 29-42.

A satellite-based global landslide model

Landslides are devastating phenomena that cause huge damage around the world.

External Contact Person: 

A. AghaKouchack

Email: 

amir.a [at] uci.edu
Undefined

Bibliographic reference: 

Farahmand, A., & AghaKouchak, A. (2013). A satellite-based global landslide modelNatural Hazards and Earth System Science13(5).

Global Rainfall-induced Landslide Inventory (NASA)

Data Type: 

hazard

Costs: 

free
English

Spatial Coverage: 

Global

Temporal Coverage: 

arch

Data accessibility: 

exportmap

File types: 

HTML
KML

Disaster Cycle Phase: 

drm

Spatial Resolution: 

Space-based Information: 

Requirements: 

Restrictions / Citation of the dataset: 

 Please cite the following reference when using this data

Kirschbaum, D. B., R. Adler, Y. Hong, S. Hill and A. L. Lerner-Lam (2009). "A global landslide catalog for hazard applications? Method, Results and Limitations." Journal of Natural Hazards DOI: 10.1007/s11069-009-9401-4.

 

Satellites and Sensors: 

Global Precipitation Measurement (GPM) (NASA)

Data Type: 

hazard

Costs: 

nfree
English

Spatial Coverage: 

Global

Temporal Coverage: 

arch
near

Data accessibility: 

exportdata

File types: 

HDF
NetCDF

Disaster Cycle Phase: 

drm
rr

Space-based Information: 

Global Precipitation Mission (GPM)

Requirements: 

<p><a href="https://www.gportal.jaxa.jp/gp/agreement.html?F832685224633LKJM3W=_" target="_blank">Registration and login</a></p>

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