Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Amit 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 GIS Officer at the Ministry of Social Development and a Geomatics Technican at the said university.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Community Collaborative GIS Model Of Sea Level Rise For Roxborough
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LAP LAMBERT Academic Publishing Okt 2016, 2016
ISBN 10: 3659939161
ISBN 13: 9783659939167
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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. Codice articolo 9783659939167
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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 . Codice articolo 158877973
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Community Collaborative GIS Model Of Sea Level Rise For Roxborough
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Community Collaborative GIS Model Of Sea Level Rise For Roxborough
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ISBN 13: 9783659939167
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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. Codice articolo 9783659939167
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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. Codice articolo 107804629
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LAP LAMBERT Academic Publishing, 2016
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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. Codice articolo 9783659939167
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ISBN 13: 9783659939167
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