In this work, we analyze the characteristics of snow cover using two space borne products (Level 1C and Level 2A) provided by the SPOT4 Take 5 Initiative. The principal aim of this initiative is to evaluate the benefits of Sentinel 2 acquisition mode before its launch. We processed SPOT4 images acquired from February 2013 to June 2013 over the site of Midi-Pyrénées (South West). The Normalized Difference Snow Index (NDSI) and Fraction of Snow Cover (SCF) are calculated on all dataset and the snow surface map and its evolution over the time is obtained. The distribution of snow cover is slightly larger using the Level 1C than in the Level 2A data. This information will be merged with climatic data and snow depth ground measures in order to derive the melt rate, the snow cover depletion rate and the snow water equivalent, and to analyze the groundwater level variations and their interaction with the landslide activity.
In this study, a semi-automatic approach implemented in the code CurvaTool has been applied to the analysis of the structural asset and its potential relationship with local water distribution in an area of the central sector of the Main Ethiopian Rift Valley. A 30 m SRTM DEM was used as input for CurvaTool code. A first processing was performed over the whole area (about 10,640 km2). Subsequently, a second processing was carried out over a smaller portion of the original DEM, in order to analyze in detail its morphological and structural features. CurvaTool output data show three main linear feature sets, characterized by non-homogeneous distributions, which have been validated by morphological and geological literature data. Concerning the hydrogeological framework, the analysis of water points distribution shows alignments coherent with the trends of linear features extracted by CurvaTool. This correspondence might suggest a structural control on the groundwater flow paths of the analyzed area and highlight the utility of the semi-automatic CurvaTool approach in the preliminary phase of an hydrogeological study in areas where groundwater flow is conditioned by topography and morphotectonic asset, particularly in case of fractured basement aquifer systems in region with lack of geological information or reduced accessibility.
Abstract. In recent years, the use of unmanned aerial vehicles (UAVs) in civilian/commercial contexts are becoming increasingly common, as well as for applications concerning anthropic and natural disasters. In this paper, we present the first results of a research project aimed at defining a possible methodology for the use of micro-UAVs in emergency scenarios relevant to rockfall phenomena. To develop and support the method presented herein, the results relevant to a rockfall emergency occurred on 7 March 2014 in the San Germano municipality (north-western Italy) are presented and discussed.
Research Article| August 01, 2017 A New Application of Curvatool Semi-automatic Approach To Qualitatively Detect Geological Lineaments Sabrina Bonetto; Sabrina Bonetto 1 Department of Earth Sciences, University of Turin, Valperga Caluso 35, 10125 Turin, Italy; sabrina.bonetto@unito.it 1Corresponding author: Sabrina Bonetto, email: sabrina.bonetto @unito.it Search for other works by this author on: GSW Google Scholar Anna Facello; Anna Facello CNR-IRPI, Strada delle Cacce, 73 - 10135 Turin, Italy; anna.facello@irpi.cnr.it Search for other works by this author on: GSW Google Scholar Gessica; Umili Gessica; Umili Department of Earth Sciences, University of Turin, Valperga Caluso 35, 10125 Turin, Italy; gessica.umili@unito.it Search for other works by this author on: GSW Google Scholar Environmental & Engineering Geoscience (2017) 23 (3): 179–190. https://doi.org/10.2113/gseegeosci.23.3.179 Article history first online: 15 Nov 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Sabrina Bonetto, Anna Facello, Gessica; Umili; A New Application of Curvatool Semi-automatic Approach To Qualitatively Detect Geological Lineaments. Environmental & Engineering Geoscience 2017;; 23 (3): 179–190. doi: https://doi.org/10.2113/gseegeosci.23.3.179 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEnvironmental & Engineering Geoscience Search Advanced Search Abstract In the past years, lineament analysis has become an important analytical technique for delineation of major structural units in mineral prospecting, hydrogeology, and tectonic studies. The use of remote sensing, with progressive development of image enhancement techniques, provides an opportunity to produce more reliable and comprehensive lineament maps. In this paper, we propose the application of a semi-automatic approach based on digital terrain models (DTMs) for the extraction of potential lineaments and their detailed validation. We selected an area belonging to the Bagni di Vinadio municipality (Cuneo, NW Italy), which is part of the Argentera Massif (western Alps), as a test site. Data obtained from the code CurvaTool, developed by the authors, are successfully compared with literature information and with lineaments obtained from visual interpretation of remote sensing imagery. The CurvaTool code permits the extraction and classification of a greater number of linear features compared to visual interpretation techniques. The ability to detect features that are not perceptible by visual observation is a strong point of CurvaTool processing. In the test area, CurvaTool output data correlate with visually detected linear features and show a good correlation with regional tectonics and iso-kinematic maps from the literature. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
Abstract. In recent years, the use of Unmanned Aerial Vehicles (UAVs) in operations in civilian/commercial contexts is becoming increasingly common also for the applications concerning the anthropic and natural disasters. In this paper, we present the first results of a research project aimed at defining a possible methodology for the use of micro-UAVs in emergency scenarios relevant to rock fall phenomena. To develop and support the presented method, the case study results relative to a rock fall emergency occurred on 7 March 2014 in the San Germano municipality (north-western Italy) are presented and discussed.
The present work has been developed in parallel to a multidisciplinary project carried out by a cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action), in order to start up a team of volunteer crisis mappers and to propose a methodology to collect and analyze multi-sensor data. The testing site of activities proposed for the project is the Cinque Terre National Park, registered in the World Heritage List since 1997, in particular the Vernazza village. This area has been strongly affected by the flood of 25th October 2011. In this case, the study focused on rock slopes stability analysis, based on an accurate geostructural survey, considering both the traditional method and the laser scanner acquisitions. Discontinuity orientations which lead to the isolation of blocks are basically derived from the elaboration of the point clouds
'%3e%3cg id='e'%3e%3cg id='d'%3e%3cg id='c'%3e%3cg id='b'%3e%3cpath id='a' d='M0-6v6h3' transform='rotate(18 0 -6)'/%3e%3cuse xlink:href='%23a' transform='scale(-1 1)'/%3e%3c/g%3e%3cuse xlink:href='%23b' transform='rotate(72)'/%3e%3c/g%3e%3cuse xlink:href='%23b' transform='rotate(-72)'/%3e%3cuse xlink:href='%23c' transform='rotate(144)'/%3e%3c/g%3e%3cuse xlink:href='%23d' y='-24'/%3e%3cuse xlink:href='%23d' y='-48'/%3e%3c/g%3e%3cuse xlink:href='%23e' x='24'/%3e%3cuse xlink:href='%23e' x='48'/%3e%3cuse xlink:href='%23d' x='-48'/%3e%3cuse xlink:href='%23d' x='-24'/%3e%3cuse xlink:href='%23d' x='-24' y='-24'/%3e%3c/g%3e%3c/svg%3e)