Centre de documentation
scientifique

GIS-based calibration of MassMov2D / Monia Elisa Molinari in Transactions in GIS, vol 16 n° 2 (April 2012)  

Public [article]  inTransactions in GIS > vol 16 n° 2 (April 2012) . - pp 215 - 231 Titre : GIS-based calibration of MassMov2D Type de document : Article/Communication Auteurs : Monia Elisa Molinari, Auteur ; M. Cannata, Auteur ; S. Begueria, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 215 - 231 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse de sensibilité [Termes IGN] effondrement de terrain [Termes IGN] étalonnage [Termes IGN] modèle numérique [Termes IGN] risque naturel [Termes IGN] simulation numérique [Termes IGN] Suisse Résumé : (Auteur) MassMov2D is a numerical model for simulating runout and deposition of landslide phenomena over a complex topography that is implemented in the free GIS PCRaster. This research aims at improving the mechanism of MassMov2D calibration and verifying its capability of representing complex landslides. In this article the authors present the enhancement of the MassMov2D code due to the introduction of the Nash-Sutcliffe coefficient for model efficiency calculation; this enables the replacement of the inefficient ‘trial and error’ approach used for sensitivity analysis and calibration with a semi-automatic procedure. During this research the improved code was tested in a case study located on the Canaria Valley (Switzerland) where a complex landslide occurred. An optimal set of parameters were calculated for evaluating the effects of a possible further slope failure. The availability of a unique dataset of high resolution digital elevation models just before and after the collapse allowed precise evaluation of the sensitivity and calibration of the model with the new procedure. The results demonstrate that this model is capable of reproducing the observed deposits even though some model limitations were identified in steep slope areas. Finally the study presents the expected scenario due to a future landslide. Numéro de notice : A2012-161 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01316.x Date de publication en ligne : 13/04/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01316.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31608 [article]

Identifying erosion areas at basin scale using remote sensing data and GIS: a case study in a geologically complex mountain basin in the Spanish Pyrenees / S. Begueria in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 4585 - 4598 Titre : Identifying erosion areas at basin scale using remote sensing data and GIS: a case study in a geologically complex mountain basin in the Spanish Pyrenees Type de document : Article/Communication Auteurs : S. Begueria, Auteur Année de publication : 2006 Article en page(s) : pp 4585 - 4598 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] bassin hydrographique [Termes IGN] carte géologique [Termes IGN] cartographie écologique [Termes IGN] données auxiliaires [Termes IGN] érosion [Termes IGN] Espagne [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-TM [Termes IGN] lithologie [Termes IGN] prédiction [Termes IGN] Pyrénées (montagne) [Termes IGN] régression linéaire [Termes IGN] sédiment [Termes IGN] système d'information géographique Résumé : (Auteur) Inventory and monitoring of eroded areas at basin scale (Mm2) can be very useful for environmental planning and can help to reduce land degradation and sediment yield to streams. Combined use of remote sensing images and auxiliary geocoded data has been widely used for mapping various environmental features, including surface erosion. Here an example is presented in the Yesa reservoir catchment in the Spanish Pyrenees. Several combinations of radiometric data (a sequence of images from different seasons of the year) and other geocoded information, including topographical (altitude and slope) and geological maps, were compared in their ability to predict previously identified erosive features. Multinomial logistic regression was used as the classification method. The datasets were compared in terms of classification error statistics (sensitivity and specificity) using an independent random sample. The incorporation of lithological information improved the discrimination of eroded areas, but the same did not happen in the case of topographical information. Two final maps of eroded areas were obtained applying an equal predicted area rule and an equal error rate rule. Copyright Taylor & Francis Numéro de notice : A2006-469 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600735640 En ligne : https://doi.org/10.1080/01431160600735640 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28193 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-06101	RAB	Revue	Centre de documentation	En réserve L003	Disponible