9783659939167 - Community Collaborative GIS Model Of Sea Level Rise For Roxborough di Seeram, Amit (7 risultati)

Paperback. Condizione: Brand New. 184 pages. 8.66x5.91x0.42 inches. In Stock.

Taschenbuch. Condizione: Neu. Community Collaborative GIS Model Of Sea Level Rise For Roxborough | Amit Seeram | Taschenbuch | 184 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659939167 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Small island developing states are susceptible to the impacts of climate change, in particular rising sea level. Knowing where may be inundated by rising sea level allows policy makers to have a lead if mitigation and/or adaptation strategies were to be formulated in small island developing states. In this study within Roxborough, Tobago, the methodology utilized topographical features, soils, land use/cover and local knowledge inputs in the development of eographic information systems models. Datasets used were acquired using secondary sources of data, while local knowledge was a product of participatory 3D modelling. Maps were produced that communicate the potential inundation impacts using: isostatic, eustatic and calculated sea level rise scenarios spatially overlaid onto topographical features, land use/cover, soils and local knowledge data. Analyses were conducted which generated the number of buildings, length of roads, area of land, land use/cover types, soil groups and local knowledge projected to be affected by inundation. The model has been validated using land surveying techniques, and sensitivity analysis performed on the GIS model giving this project some credibility. 184 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Seeram AmitAmit Seeram graduated from the Department of Geomatics Engineering and Land Management, University of the West Indies with a BSc Geomatics (2010) and MSc Geoinformatics (2014). His professional experience includes being a .

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Small island developing states are susceptible to the impacts of climate change, in particular rising sea level. Knowing where may be inundated by rising sea level allows policy makers to have a lead if mitigation and/or adaptation strategies were to be formulated in small island developing states. In this study within Roxborough, Tobago, the methodology utilized topographical features, soils, land use/cover and local knowledge inputs in the development of eographic information systems models. Datasets used were acquired using secondary sources of data, while local knowledge was a product of participatory 3D modelling. Maps were produced that communicate the potential inundation impacts using: isostatic, eustatic and calculated sea level rise scenarios spatially overlaid onto topographical features, land use/cover, soils and local knowledge data. Analyses were conducted which generated the number of buildings, length of roads, area of land, land use/cover types, soil groups and local knowledge projected to be affected by inundation. The model has been validated using land surveying techniques, and sensitivity analysis performed on the GIS model giving this project some credibility.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Small island developing states are susceptible to the impacts of climate change, in particular rising sea level. Knowing where may be inundated by rising sea level allows policy makers to have a lead if mitigation and/or adaptation strategies were to be formulated in small island developing states. In this study within Roxborough, Tobago, the methodology utilized topographical features, soils, land use/cover and local knowledge inputs in the development of eographic information systems models. Datasets used were acquired using secondary sources of data, while local knowledge was a product of participatory 3D modelling. Maps were produced that communicate the potential inundation impacts using: isostatic, eustatic and calculated sea level rise scenarios spatially overlaid onto topographical features, land use/cover, soils and local knowledge data. Analyses were conducted which generated the number of buildings, length of roads, area of land, land use/cover types, soil groups and local knowledge projected to be affected by inundation. The model has been validated using land surveying techniques, and sensitivity analysis performed on the GIS model giving this project some credibility.