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Disasters like drought, floods, cyclones, earth quake and accidents are commonly confronted by various states of India in varying proportion and intensity. The direct and indirect economic losses caused by any of the disaster are beyond imagination since they affect infrastructure, natural resources, human resources etc.However, an effective data management and planning can help the authorities for systematic way to encounter the after effects of the disasters like flood . Immediate steps taken on flood are the evacuation of population, proper and uniform distribution of government aid. For this the prime aspect should be to locate net flood affected areas.In this project we develop an automated software system that retrieve the net flood affected area so that immediate rehabilitation can be carried on. An attempt have been made in rectification of IRS-ID LISS III, PAN,WiFS and RADARSAT image of flood affected areas and convert this raster images to vector layers(coverage).Union and intersection operations are performed on this coverages .
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L'autore
Sajal Saha is presently working as Assistant professor in the department of CA, Narula Institute of Technology, Kolkata, India since august 2004.He received his ME in IT from West Bengal University of Technology (2007), MCA from SMIT, Sikkim (2004) and BSc(Physics) from Calcutta University. He is currently registered for PhD at NIT Durgapur,India.
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GIS and Remote Sensing:
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848433427
ISBN 13: 9783848433421
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Saha SajalSajal Saha is presently working as Assistant professor in the department of CA, Narula Institute of Technology, Kolkata, India since august 2004.He received his ME in IT from West Bengal University of Technology (2007), MCA. Codice articolo 5521830
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GIS and Remote Sensing: : Application in Flood Damage Assessment
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LAP Lambert Academic Publishing, 2012
ISBN 10: 3848433427
ISBN 13: 9783848433421
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Disasters like drought, floods, cyclones, earth quake and accidents are commonly confronted by various states of India in varying proportion and intensity. The direct and indirect economic losses caused by any of the disaster are beyond imagination since they affect infrastructure, natural resources, human resources etc.However, an effective data management and planning can help the authorities for systematic way to encounter the after effects of the disasters like flood . Immediate steps taken on flood are the evacuation of population, proper and uniform distribution of government aid. For this the prime aspect should be to locate net flood affected areas.In this project we develop an automated software system that retrieve the net flood affected area so that immediate rehabilitation can be carried on. An attempt have been made in rectification of IRS-ID LISS III, PAN,WiFS and RADARSAT image of flood affected areas and convert this raster images to vector layers(coverage).Union and intersection operations are performed on this coverages . Codice articolo 9783848433421
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GIS and Remote Sensing: | Application in Flood Damage Assessment
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LAP Lambert Academic Publishing, 2012
ISBN 10: 3848433427
ISBN 13: 9783848433421
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Taschenbuch. Condizione: Neu. GIS and Remote Sensing: | Application in Flood Damage Assessment | Sajal Saha (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848433421 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Codice articolo 106522452
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GIS and Remote Sensing:: Application in Flood Damage Assessment
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848433427
ISBN 13: 9783848433421
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA75838484334276
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