Remote Sensing and GIS Application in Flash Hazard Studies: Eastern Qena Bend-Egypt as an Example

Omar, Ahmed

ISBN 10: 365953272X / ISBN 13: 9783659532726

Editore: LAP LAMBERT Academic Publishing, 2014

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Codice articolo ERICA829365953272X6

Dati bibliografici

• Titolo: Remote Sensing and GIS Application in Flash Hazard Studies: Eastern Qena Bend-Egypt as an Example
• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 365953272X
• ISBN 13: 9783659532726
• Rilegatura: paperback
• Condizione: New
• Tipo di libro: book

Descrizione articolo

Riassunto

Natural Distastes are mostly occur in dry areas as a result of sudden climatic fluctuations. The flood is one of the most destructive environmental phenomena that cause severe damage and massive ruinous of infrastructure as well as material and life losses. The Geographical Information System (GIS) tools represents an affordable proposal for the establishment of the hydrological models based on analyzes of the spatial information, the integrated morphometric outputs, and the DEM that identifying runoff directions, drainage basins, and main sewers for the valleys to become an important input to the (SCS) model for the calculation of the flow of flash flood. Moreover remote sensing data represents one of the most important elements in Environmental Studies of floods disasters through monitoring the human activity and the evolution of their urban and agricultural activity depending on the satellite imageries for different years are applied to calculate the land use and monitor changes in land use). The previous elements are integrated with each other through geographic information systems and remote sensing techniques to vulnerability places

L'autore

Mr Ahmed Omar has obtained his MSc in GIS from Salzburg university in 2014. Through the last years he has worked in different projects in the field of surveying ,GIS , remote sensing ,GPS and all fields in Geomatics. He has different researches in various international journals in remote sensing ,GIS,and environmental hazards.