Remote sensing methods based on optical and medium resolution imagery are limited in their applicability. Although the classification and object extraction is difficult because of the imaging mechanism is quite different from multispectral images, Radar Images find special application in the flood monitoring due to the properties of all-weather, day-and-night and capability of cloud-piercing. The PALSAR data can easily to detect the water surface because of its wave length. This report presents a comprehensive methodology, based on “Discrete Wavelet Transform” analysis for flooded area identification & shows the effectiveness and efficiency of the developed method. The analysis results were timely provided to the central and local governments to make decision for flood disaster reduction. These analysis techniques will help to shed light on these new and existing RS and GIS technologies. Therefore, this study will be especially useful to students and it would guide the city developers, planners, and decision makers how best the remote sensing technology could be used in detecting and monitoring flood.
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Halpegamage Nadeeka Thushari,BA(Geography Special) and PGDip (Geoinformatics)in IHRA,University of Colombo, GIS Assistant in GIS Centre, Urban Development Authority,Sri Lanka.Lasantha Manawadu, BA, MSc: Studied Geography at University of Colombo and GIS at AIT, Thailand. Senior Lecturer, Dept. of Geography, University of Colombo.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Remote sensing methods based on optical and medium resolution imagery are limited in their applicability. Although the classification and object extraction is difficult because of the imaging mechanism is quite different from multispectral images, Radar Images find special application in the flood monitoring due to the properties of all-weather, day-and-night and capability of cloud-piercing. The PALSAR data can easily to detect the water surface because of its wave length. This report presents a comprehensive methodology, based on Discrete Wavelet Transform analysis for flooded area identification & shows the effectiveness and efficiency of the developed method. The analysis results were timely provided to the central and local governments to make decision for flood disaster reduction. These analysis techniques will help to shed light on these new and existing RS and GIS technologies. Therefore, this study will be especially useful to students and it would guide the city developers, planners, and decision makers how best the remote sensing technology could be used in detecting and monitoring flood. 68 pp. Englisch. Seller Inventory # 9783847314769
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Thushari Halpegamage NadeekaHalpegamage Nadeeka Thushari,BA(Geography Special) and PGDip (Geoinformatics)in IHRA,University of Colombo, GIS Assistant in GIS Centre, Urban Development Authority,Sri Lanka.Lasantha Manawadu, BA, MSc: St. Seller Inventory # 5509466
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Taschenbuch. Condition: Neu. Neuware -Remote sensing methods based on optical and medium resolution imagery are limited in their applicability. Although the classification and object extraction is difficult because of the imaging mechanism is quite different from multispectral images, Radar Images find special application in the flood monitoring due to the properties of all-weather, day-and-night and capability of cloud-piercing. The PALSAR data can easily to detect the water surface because of its wave length. This report presents a comprehensive methodology, based on ¿Discrete Wavelet Transform¿ analysis for flooded area identification & shows the effectiveness and efficiency of the developed method. The analysis results were timely provided to the central and local governments to make decision for flood disaster reduction. These analysis techniques will help to shed light on these new and existing RS and GIS technologies. Therefore, this study will be especially useful to students and it would guide the city developers, planners, and decision makers how best the remote sensing technology could be used in detecting and monitoring flood.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Seller Inventory # 9783847314769
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Remote sensing methods based on optical and medium resolution imagery are limited in their applicability. Although the classification and object extraction is difficult because of the imaging mechanism is quite different from multispectral images, Radar Images find special application in the flood monitoring due to the properties of all-weather, day-and-night and capability of cloud-piercing. The PALSAR data can easily to detect the water surface because of its wave length. This report presents a comprehensive methodology, based on Discrete Wavelet Transform analysis for flooded area identification & shows the effectiveness and efficiency of the developed method. The analysis results were timely provided to the central and local governments to make decision for flood disaster reduction. These analysis techniques will help to shed light on these new and existing RS and GIS technologies. Therefore, this study will be especially useful to students and it would guide the city developers, planners, and decision makers how best the remote sensing technology could be used in detecting and monitoring flood. Seller Inventory # 9783847314769
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Flood Monitoring Using SAR Data | An Alternative Approach Using Remote Sensing & GIS: A Case Study at Attanagalu Oya Basin in Gampaha District, Sri Lanka | Halpegamage Nadeeka Thushari (u. a.) | Taschenbuch | 68 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783847314769 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 106676720