Assessment of the performance of X-band satellite radar data for landslide mapping and monitoring: Upper Tena Valley case study

Notti, Davide; García-Davalillo, Juan Carlos; Herrera, Gerardo; Mora, Oscar

doi:10.5194/nhess-10-1865-2010

Cited by 138 publications

(101 citation statements)

References 16 publications

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“…However, the X-band data preserve the spatial details and short-term slope deformations well. Therefore, they exhibit good potential for the rapid assessment of changes that might occur before or after large slope failures, including the detection of damages related to these failures through more detailed analyses of areas characterized by the loss of or decrease in coherence [13,22].…”

Section: Sbas Results Assessmentmentioning

confidence: 99%

ALOS/PALSAR InSAR Time-Series Analysis for Detecting Very Slow-Moving Landslides in Southern Kyrgyzstan

et al. 2015

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This study focuses on evaluating the potential of ALOS/PALSAR time-series data to analyze the activation of deep-seated landslides in the foothill zone of the high mountain Alai range in the southern Tien Shan (Kyrgyzstan). Most previous field-based landslide investigations have revealed that many landslides have indicators for ongoing slow movements in the form of migrating and newly developing cracks. L-band ALOS/PALSAR data for the period between 2007 and 2010 are available for the 484 km 2 area in this study. We analyzed these data using the Small Baseline Subset (SBAS) time-series technique to assess the surface deformation related to the activation of landslides. We observed up to ±17 mm/year of LOS velocity deformation rates, which were projected along the local steepest slope and resulted in velocity rates of up to −63 mm/year. The obtained rates indicate very slow movement of the deep-seated landslides during the observation time. We also compared these movements with precipitation and earthquake records. The results suggest that the deformation peaks correlate with rainfall in the 3 preceding months and with an earthquake event. Overall, the results of this study indicated the great potential of L-band InSAR time series analysis for OPEN ACCESS Remote Sens. 2015, 7 8974 efficient spatiotemporal identification and monitoring of slope activations in this region of high landslide activity in Southern Kyrgyzstan.

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Section: Sbas Results Assessmentmentioning

confidence: 99%

ALOS/PALSAR InSAR Time-Series Analysis for Detecting Very Slow-Moving Landslides in Southern Kyrgyzstan

et al. 2015

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“…Overall, the use of X-band SAR sensors, i.e., COSMO-SkyMed, with high spatial resolution up to 1 meter (ROTH et al 2003;GERNHARDT et al 2010) and short revisiting time improves PSI capability for Vol. 172, (2015) Multi-Temporal Evaluation of Landslide Movements 3061 ground motions detection HERRERA et al 2010;NOTTI et al 2010). X-band radar data turn out to be particularly suited for local detection of landslide processes at small scales, especially in urbanized areas, since the great density of PS point targets in X-band permits to better understand and accurately describe deformation phenomena, entering at the level of the site-specific ground motions investigation.…”

Section: Discussionmentioning

confidence: 99%

“…Most of the PS targets show up on housetops and especially on facades and roofs of buildings, enabling a site-specific investigation. Therefore, the use of X-band data significantly improves the level of detail of the analysis, since small structures now act as stable scatterers and PS from different surfaces can be separated due to the very high resolution of up to 1 m in azimuth and range direction (ROTH et al 2003;GE et al 2010;GERNHARDT et al 2010;NOTTI et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Multi-Temporal Evaluation of Landslide Movements and Impacts on Buildings in San Fratello (Italy) By Means of C-Band and X-Band PSI Data

Bianchini

Ciampalini

Raspini

et al. 2014

Pure Appl. Geophys.

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Abstract-This work provides a multi-temporal and spatial investigation of landslide effects in the San Fratello area (Messina province within the Sicily region, Italy), by means of C-band and X-band Persistent Scatterer Interferometry (PSI) data, integrated with in situ field checks and a crack pattern survey. The Sicily region is extensively affected by hydrogeological hazards since several landslides regularly involved local areas across time. In particular, intense and catastrophic landslide phenomena have recently occurred in the San Fratello area; the last event took place in February 2010, causing large economic damage. Thus, the need for an accurate ground motions and impacts mapping and monitoring turns out to be significantly effective, in order to better identify active unstable areas and to help proper risk-mitigation measures planning. The combined use of historical and recent C-band satellites and current X-band Synthetic Aperture Radar sensors of a new generation permits spatially and temporally detection of landslide-induced motions on a local scale and to properly provide a complete multi-temporal evaluation of their effects on the area of interest. PSI ground motion rates are crosscompared with local failures and damage of involved buildings, recently recognized by in situ observations. As a result, the analysis of landslide-induced movements over almost 20 years and the validation of radar data with manufactured crack patterns, permits one to finally achieve a complete and reliable assessment in the San Fratello test site.

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“…topographic, geological, land use maps, optical images) and in situ observations with ground displacement data obtained through PSI analysis. This operational methodology, which has been successfully tested and used within several scientific applications (Meisina et al 2006;Pancioli et al 2008;Herrera et al 2009Herrera et al , 2010Cascini et al 2009;Cigna et al 2010Cigna et al , 2013Notti et al 2010;Bianchini et al 2011Bianchini et al , 2012Righini et al 2012) is based on the coupled radar-interpretation and photo-interpretation procedures Farina et al 2008;Pancioli et al 2008;Herrera et al 2009) and on the classification of the landslide state of activity (WP/WLI 1993;Cruden & Varnes 1996), integrating qualitative and quantitative information of the phenomenon at hand. This paper, resting upon the recent studies and scientific works carried out in the last years, shows the contribution of European remote-sensing satellite (ERS) and environmental satellite (ENVISAT) persistent scatterers (PS) data for the spatial and temporal updating of a pre-existing landslide inventory map in the Setta basin within Bologna province in central Italy.…”

Section: Introductionmentioning

confidence: 99%

Landslide inventory updating by means of Persistent Scatterer Interferometry (PSI): the Setta basin (Italy) case study

Sara

Bianchini

Moretti

2014

Geomatics, Natural Hazards and Risk

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This paper illustrates the contribution of Persistent Scatterer SAR Interferometry (PSInSAR) technique to landslide detection, using interferometric data acquired in C-band by European remote-sensing satellite (ERS) 1/2 and environmental satellite (ENVISAT) satellites. The main purpose is to update a pre-existing landslide inventory map, by changing or confirming the landslide geometry and state of activity and eventually, identifying new phenomena.This work presents an application of satellite remote sensing to analyse ground displacement movements in the Setta basin, located on the northern Appennine (Bologna province, Italy) and extended up 268 km 2 .The proposed methodology, resting upon pre-existing works already consolidated in the scientific community, combines interferometric measures with aerial imagery and other auxiliary data, in order to detect landslide indicators, finally validated with field surveys. The use of an activity matrix allows the identification of the state of activity of landslide phenomena with respect to the velocity of the radar displacement rates. Field validations are carried out in the areas that are more relevant because of the highest ground velocities and the presence of structures extensively affected by ground movements.The final updated landslide database of the Setta basin, based on Persistent Scatterer Interferometry analysis and in situ checks, consists of 1550 landslides, 236 of which have persistent scatterer information.

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Assessment of the performance of X-band satellite radar data for landslide mapping and monitoring: Upper Tena Valley case study

Cited by 138 publications

References 16 publications

ALOS/PALSAR InSAR Time-Series Analysis for Detecting Very Slow-Moving Landslides in Southern Kyrgyzstan

ALOS/PALSAR InSAR Time-Series Analysis for Detecting Very Slow-Moving Landslides in Southern Kyrgyzstan

Multi-Temporal Evaluation of Landslide Movements and Impacts on Buildings in San Fratello (Italy) By Means of C-Band and X-Band PSI Data

Landslide inventory updating by means of Persistent Scatterer Interferometry (PSI): the Setta basin (Italy) case study

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