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Analytic hierarchy process based spatial biodiversity impact assessment model of highway broadening in Sikkim Himalaya / Polash Banerjee in Geocarto international, vol 35 n° 5 ([01/04/2020])  

Public [article]  inGeocarto international > vol 35 n° 5 [01/04/2020] . - pp 470 - 493 Titre : Analytic hierarchy process based spatial biodiversity impact assessment model of highway broadening in Sikkim Himalaya Type de document : Article/Communication Auteurs : Polash Banerjee, Auteur ; Mrinal K. Ghose, Auteur ; Ratika Pradham, Auteur Année de publication : 2020 Article en page(s) : pp 470 - 493 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de sensibilité [Termes IGN] autoroute [Termes IGN] biodiversité [Termes IGN] étude d'impact [Termes IGN] Himalaya [Termes IGN] montagne [Termes IGN] parcelle forestière [Termes IGN] processus de hiérarchisation analytique [Termes IGN] projet routier Résumé : (auteur) Spatial impacts of highway projects on biodiversity of North-Eastern Himalaya remains largely unexplored. Usually a number of ecological criteria are required in biodiversity impact assessment. However, a wide set of such criteria can be overwhelming for the decision-makers to assess the viability of such projects. SBIAM uses landscape metrics and experts’ opinion to create a single composite biodiversity value map. The weighted area loss under various project alternatives estimated from Biodiversity Value Map is compared to identify the most viable alternative. SBIAM uses AHP and curve fitting method in the biodiversity estimation. The study indicates that the highway broadening project in the study area will cause a moderate biodiversity loss. Sensitivity analysis of SBIAM indicates its robustness, and shows that forest patches near the highway are most sensitive to disturbances and patch proximity. SBIAM can be applied in varied spatial scales, terrains and development projects as a decision support tool. Numéro de notice : A2020-142 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2018.1520924 Date de publication en ligne : 22/10/2018 En ligne : https://doi.org/10.1080/10106049.2018.1520924 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94768 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2020051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Application of frequency ratio and likelihood ratio model for geo-spatial modelling of landslide hazard vulnerability assessment and zonation: a case study from the Sikkim Himalayas in India / L.P. Sharma in Geocarto international, vol 29 n° 1 - 2 (February - April 2014)  

Public [article]  inGeocarto international > vol 29 n° 1 - 2 (February - April 2014) . - pp 128 - 146 Titre : Application of frequency ratio and likelihood ratio model for geo-spatial modelling of landslide hazard vulnerability assessment and zonation: a case study from the Sikkim Himalayas in India Type de document : Article/Communication Auteurs : L.P. Sharma, Auteur ; Nilanchal Patel, Auteur ; Mrinal K. Ghose, Auteur ; P. Debnath, Auteur Année de publication : 2014 Article en page(s) : pp 128 - 146 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] ArcGIS [Termes IGN] cartographie des risques [Termes IGN] effondrement de terrain [Termes IGN] fréquence [Termes IGN] Himalaya [Termes IGN] Inde [Termes IGN] modélisation spatiale [Termes IGN] partition d'image [Termes IGN] risque majeur [Termes IGN] risque naturel [Termes IGN] système d'information géographique [Termes IGN] vulnérabilité [Termes IGN] zone à risque Résumé : (Auteur) The Likelihood Ratio (LR) Model has been applied as an improvement upon the Frequency Ratio (FR) that computes the ratio of the percentage of the landslide pixels to the percentage of the non-landslide pixels instead of the total number of pixels used in the denominator as in case of the FR. The comparative assessment of the two techniques is made through spatial modelling of GIS vector data using the ArcGIS software. Two different Landslide Information Values were computed for each polygon element of the study area employing the two FR techniques that categorized the study area into five classes of vulnerability using natural breaks (Jenks) technique. Subsequently, vulnerability zonation maps were prepared showing the different levels of landslide vulnerability. The LR technique yielded significantly higher vulnerability assessment accuracy (77%) as compared to the standard FR (71%). Numéro de notice : A2014-237 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.748830 Date de publication en ligne : 06/02/2013 En ligne : https://doi.org/10.1080/10106049.2012.748830 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33140 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-2014011	RAB	Revue	Centre de documentation	En réserve L003	Disponible