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

The aim of this work is to analyse the advantages and disadvantages of using the new X-band SAR data acquired by TerraSAR-X sensors for landslides mapping. This dataset has been processed using a Persistent Scatterer Interferometry technique over the Upper Tena Valley (Central Pyrenees, Spain). In t...

Full description

Bibliographic Details
Main Authors: D. Notti, J. C. Davalillo, G. Herrera, O. Mora
Format: Article
Language:English
Published: Copernicus Publications 2010-09-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/10/1865/2010/nhess-10-1865-2010.pdf
id doaj-c40cbec5c6e94997abefacac3a059a48
record_format Article
spelling doaj-c40cbec5c6e94997abefacac3a059a482020-11-24T21:31:57ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812010-09-011091865187510.5194/nhess-10-1865-2010Assessment of the performance of X-band satellite radar data for landslide mapping and monitoring: Upper Tena Valley case studyD. NottiJ. C. DavalilloG. HerreraO. MoraThe aim of this work is to analyse the advantages and disadvantages of using the new X-band SAR data acquired by TerraSAR-X sensors for landslides mapping. This dataset has been processed using a Persistent Scatterer Interferometry technique over the Upper Tena Valley (Central Pyrenees, Spain). In the first section, the geological and geomorphological setting of the study area is introduced, focusing on the description of the landslide inventory. Then the Stable Point Network technique is briefly described, followed by the assessment of the performance of the X-band SAR dataset. In this context, we present first a model to predict the distribution of Persistent Scatterers based on the slope geometry and the land use information, which has then been validated with X-band data results. On a second stage, we have assessed the performance of X-band dataset to detect and monitor mapped landslides. Finally some illustrative case studies are shown demonstrating the potential of using X-band SAR data not only for landslide mapping but also to detect and monitor deformations affecting human infrastructures. http://www.nat-hazards-earth-syst-sci.net/10/1865/2010/nhess-10-1865-2010.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. Notti
J. C. Davalillo
G. Herrera
O. Mora
spellingShingle D. Notti
J. C. Davalillo
G. Herrera
O. Mora
Assessment of the performance of X-band satellite radar data for landslide mapping and monitoring: Upper Tena Valley case study
Natural Hazards and Earth System Sciences
author_facet D. Notti
J. C. Davalillo
G. Herrera
O. Mora
author_sort D. Notti
title Assessment of the performance of X-band satellite radar data for landslide mapping and monitoring: Upper Tena Valley case study
title_short Assessment of the performance of X-band satellite radar data for landslide mapping and monitoring: Upper Tena Valley case study
title_full Assessment of the performance of X-band satellite radar data for landslide mapping and monitoring: Upper Tena Valley case study
title_fullStr Assessment of the performance of X-band satellite radar data for landslide mapping and monitoring: Upper Tena Valley case study
title_full_unstemmed Assessment of the performance of X-band satellite radar data for landslide mapping and monitoring: Upper Tena Valley case study
title_sort assessment of the performance of x-band satellite radar data for landslide mapping and monitoring: upper tena valley case study
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2010-09-01
description The aim of this work is to analyse the advantages and disadvantages of using the new X-band SAR data acquired by TerraSAR-X sensors for landslides mapping. This dataset has been processed using a Persistent Scatterer Interferometry technique over the Upper Tena Valley (Central Pyrenees, Spain). In the first section, the geological and geomorphological setting of the study area is introduced, focusing on the description of the landslide inventory. Then the Stable Point Network technique is briefly described, followed by the assessment of the performance of the X-band SAR dataset. In this context, we present first a model to predict the distribution of Persistent Scatterers based on the slope geometry and the land use information, which has then been validated with X-band data results. On a second stage, we have assessed the performance of X-band dataset to detect and monitor mapped landslides. Finally some illustrative case studies are shown demonstrating the potential of using X-band SAR data not only for landslide mapping but also to detect and monitor deformations affecting human infrastructures.
url http://www.nat-hazards-earth-syst-sci.net/10/1865/2010/nhess-10-1865-2010.pdf
work_keys_str_mv AT dnotti assessmentoftheperformanceofxbandsatelliteradardataforlandslidemappingandmonitoringuppertenavalleycasestudy
AT jcdavalillo assessmentoftheperformanceofxbandsatelliteradardataforlandslidemappingandmonitoringuppertenavalleycasestudy
AT gherrera assessmentoftheperformanceofxbandsatelliteradardataforlandslidemappingandmonitoringuppertenavalleycasestudy
AT omora assessmentoftheperformanceofxbandsatelliteradardataforlandslidemappingandmonitoringuppertenavalleycasestudy
_version_ 1725959152223649792