4212dbd6-3dc3-4e06-af58-dc86a9e1c88f a55dc484-2940-4ea6-b18e-7ea1b7758ecf Michele Manunta Italian National Research Council (CNR) Istituto per il rilevamento elettromagnetico dell'ambiente (IREA) +39 081 76206 11 +39 081 570 5734 Via Diioclezioani, 328 Naples NA 80124 Italy manunta.m@irea.cnr.it http://www.irea.cnr.it/ Francesca Ardizzone Italian National Research Council (CNR) Research Institute of Geo-hydrological Protection (IRPI) +39 075 5014 410 +39 075 5014 420 Via della Madonna Alta, 126 Perugia PG 06128 Italy francesca.ardizzone@irpi.cnr.it 2017-05-12T16:03:48 ISO 19115:2003/19139 1.0 WGS 1984 Sampeyre SAR ground deformation time series from Envisat ASAR satellite images 2015-11-20T14:30:00 The SAR ground deformation time series relevant to Sampeyre frame include deformation data obtained from ASAR-Envisat satellite acquisitions (images available in the framework of Category-1A project, part of the ESA Geohazard Supersites initiative), and elaborated by the ESA’s G-POD service with the SBAS technique. In particular, the analysis provided 65535 measure points, for the observed period from April 2005 to October 2010, relative to the entire frame. The archive provide for each SBAS targets: - ID: Gr1; Gr2; Gr n - East and North UTM WGS84 coordinates (m); - Temporal interferometric coherence [CohT]; - Deformation velocity (cm/year) [Vel]; - Azimuth and Range coordinates [Az/Rg]; - Latitude and Longitude coordinates (deg) [Lat/Lon]; - Topography (m) [RT]; - Deformation Data (cm), related to the date of the exploited SAR images. The date of the exploited images are expressed as: [year+((month-1)*30+day)/365]. The SBAS results, relevant to the entire frame (normally around 100x100 km), have an accuracy of 1 mm/yr for mean velocity measurements, and 5 mm for the deformation measurements [Casu et al., 2006]. The deformation time series present a monthly temporal sampling, and provide long time series of deformation, allowing to follow the evolution of surface displacement over time. Provide ASAR-Envisat deformation maps and associated time series for the Grange Orgiera test site. Carry out a critical analysis of the possibility of using space-borne DInSAR techniques to obtain multi-decadal time series of ground deformations for landslide areas, to be correlated with meteorological and climatic variables. Martina Cignetti Italian National Research Council (CNR) Research Institute of Geo-hydrological Protection (IRPI) + 39 011 3977831 Strada delle Cacce, 73 Torino TO 10135 Italy martina.cignetti@irpi.cnr.it Andrea Manconi Italian National Research Council (CNR) Research Institute of Geo-hydrological Protection (IRPI) +39 011/3977829 +39 011/3977821 Strada delle Cacce, 73 Torino TO 10135 Italy andrea.manconi@irpi.cnr.it http://gmg.irpi.cnr.it https://geoportal.mountaingenius.org/geonetwork/srv/eng/resources.get?uuid=a55dc484-2940-4ea6-b18e-7ea1b7758ecf&fname=Metadato_Sampeyre_Envisat_150dpi_s.png thumbnail png https://geoportal.mountaingenius.org/geonetwork/srv/eng/resources.get?uuid=a55dc484-2940-4ea6-b18e-7ea1b7758ecf&fname=Metadato_Sampeyre_Envisat_150dpi.jpg large_thumbnail jpg NEXTDATA HAMMER project Landslide DInSAR analysis Mean velocity map Ground deformation time series Grange Orgiera Varaita Valley Sampeyre Cuneo Piedmont Northern Italy CNR IRPI CNR IREA 10000 geoscientificInformation 2002 2010 6.62397 18.51444 36.64916 47.09458 You can customize the template to suit your needs. You can add and remove fields and fill out default information (e.g. contact details). Fields you can not change in the default view may be accessible in the more comprehensive (and more complex) advanced view. You can even use the XML editor to create custom structures, but they have to be validated by the system, so know what you do :-) https://geoportal.mountaingenius.org/geonetwork/srv/en/resources.get?uuid=4212dbd6-3dc3-4e06-af58-dc86a9e1c88f&fname=TS_Sampeyre_ENVISAT_asc.zip&access=private WWW:DOWNLOAD-1.0-http--download TS_Sampeyre_ENVISAT_asc.zip Download .CSV data TS_Sampeyre_ENVISAT_asc.zip