Remote sensing and GIS based urban sprawl susceptibility analysis

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Nowadays, the rapid population growth in urban areas has resulted in uncontrolled haphazard growth in the fringes of urban areas without the knowledge and consent of both concerned cities' and bordering rural administrative bodies affecting agro-rural set up in the outskirts and threatening the livelihood of inhabitants in the vicinity. The phenomenon has further been precipitating amorphous suburban centers and an unauthorized growth of the cities often called urban sprawl. The advent of geospatial tools has great potential to long term monitoring and assessment of urban growth and its associated problems in surrounding land cover. On this background,this book is focused on the techniques of Remote Sensing and Geographic Information Systems (GIS) to monitor and measure urban sprawl. The book, therefore, will be welcomed by environmentalists, regional (urban) planners,decision makers and academicians interested in the potential of geospatial tools for monitoring and planning urban environment emphasizing smooth urban-rural relationship in developing nation's context.

Autorentext

Genemo Berisa received a Bachelor of Arts (2006) in Geography and Environmental Studies and a Master of Science (2012) in Geo-information Science from Addis Ababa University, Addis Ababa, Ethiopia. He is currently a lecturer in the Department of Geography and Dean of the College of Social Sciences and Humanities at Jigjiga University, Ethiopia.

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Weitere Informationen

  • Allgemeine Informationen
    • Titel Remote sensing and GIS based urban sprawl susceptibility analysis
    • Veröffentlichung 16.01.2013
    • ISBN 3659315281
    • Format Kartonierter Einband
    • EAN 9783659315282
    • Jahr 2013
    • Größe H220mm x B150mm x T7mm
    • Autor Genemo Berisa Uka
    • Untertitel A case study of Shashamane Town, West Arsi Zone, Ethiopia
    • Gewicht 173g
    • Genre Kunst
    • Anzahl Seiten 104
    • Herausgeber LAP Lambert Academic Publishing
    • GTIN 09783659315282

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