GIS &Remote Sensing based Water Quality Assessment in-relation: to Land use/land Cover Patterns

Mehari, Sofonias

ISBN 10: 3843301883 / ISBN 13: 9783843301886

Published by LAP LAMBERT Academic Publishing, 2012

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Bibliographic Details

• Title: GIS &Remote Sensing based Water Quality Assessment in-relation: to Land use/land Cover Patterns
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3843301883
• ISBN 13: 9783843301886
• Binding: Paperback
• Condition: Like New
• Book Type: book

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Synopsis

GIS and Remote Sensing are powerful tools on analyzing land use/ land cover change of a given place. Different studies have shown that in watershed, land use land cover change have direct impact on determining water quality, and this remains to be true in the analysis done for Hashengea watershed system. In this study, land use land cover change classification for the periods 1985, 1995 and 2011 were analyzed using Landsat 4 TM with 30x30 meter resolution using ArcGIS and ERDAS IMAGEN environment. The water samples taken from the lake for analysis have indicated that most of them have excessively concentrated above the maximum allowable concentrations recommended by different organization on the lake, with a causes related to run-off from agricultural land, grazing land and urban areas. As a result this could have negative implication on the current practice management of the lake. This book therefore, provides a new metric of success for environmentalists, regional planers, agricultural experts and the surrounding communities who utilize on the water from the lake for different communities who utilize on the water from the lake for different uses.

About the Author

Sofonias Mehari is a GIS and Remote Sensing Expert and lecturer in Wollo University , Ethiopia. He has his first BA degree In geography and environmental studies from Adama University, Ethiopia at the end of 2010 and his M.SC. Specialization in GIS and Remote Sensing from Mekelle University in 2011/12. He has worked on different surveys.