Use of Geospatial Technology to Model Salt Affected Areas: a case study in Sego Farm, Southern Ethiopia

K. V. Suryabhagavan

ISBN 10: 3659859613 / ISBN 13: 9783659859618

Published by LAP LAMBERT Academic Publishing, 2016

About this Item

76 pages. 8.66x5.91x0.18 inches. In Stock.

Seller Inventory # 3659859613

Bibliographic Details

• Title: Use of Geospatial Technology to Model Salt Affected Areas: a case study in Sego Farm, Southern Ethiopia
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2016
• Language: English
• ISBN 10: 3659859613
• ISBN 13: 9783659859618
• Binding: Paperback
• Condition: Brand New
• Weight: 0.16 kilograms

About this title

Synopsis

Salinization is one of the major problems of irrigated agriculture in arid and semi-arid areas, affecting productivity of agricultural lands. Managing salinity to minimize its environmental impact is a pre-requisite for the long-term sustainability of irrigated agriculture. Major objectives of this study were to assess the level of salinity in Sego irrigated farm in Ethiopia and to map temporal and spatial distribution of salt affected soils to aid in salinity management. Validation of the models was made to test their predication capability and the overlay model revealed better correlation coefficient of 68.0% to the measured ECe. The map of salt affected soils derived from the overlay salinity model was used to assess distribution of salt affected soils with respect to water table and soil type. Most of the salt affected areas was on shallow water table where the strongly saline soil accounting for 2.8% on the shallow water table. The distribution of salt affected areas with respect to soil type showed Cambisols and Fluvisols were greatly affected by salinity where Salonchaks and Solonetz were on salt affected areas.

About the Author

K. V. Suryabhagavan is an Associate Professor at the Remote sensing and GIS centre, School of Earth Sciences, College of Natural Sciences, Addis Ababa University, Addis Ababa. He mainly deals with studies on application of remote sensing for geology, climate change, and vegetation dynamics.