Soil Nitrogen Modeling | Modeling Soil Nitrogen Balance using GIS and Remote Sensing: the case of lower Bilate river basin, Southern Ethiopia

Andualem Aklilu

ISBN 10: 3659208361 / ISBN 13: 9783659208362

Published by LAP LAMBERT Academic Publishing, 2015

About this Item

Soil Nitrogen Modeling | Modeling Soil Nitrogen Balance using GIS and Remote Sensing: the case of lower Bilate river basin, Southern Ethiopia | Andualem Aklilu | Taschenbuch | 100 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659208362 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 106325983

Bibliographic Details

• Title: Soil Nitrogen Modeling | Modeling Soil Nitrogen Balance using GIS and Remote Sensing: the case of lower Bilate river basin, Southern Ethiopia
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2015
• Language: English
• ISBN 10: 3659208361
• ISBN 13: 9783659208362
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 167 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The decline of soil fertility has been one of the major constraints to low level of agricultural productivity and it primarily referred to the exploitation of soil nitrogen. Nitrogen could be added to or lost from the soil via different natural and human-induced processes. The work area is located in lower bilate river basin within the ethiopian rift valley which was characterized by an arid climatic conditions. The core objectives of this work were modeling of the soil nitrogen balance and the plant available stock soil nitrogen by using GIS and Remote sensing and assessing the uncertainities and source of errors. The widely used methodology of Stoorvogel and Smaling was adapted for soil nutrient balance estimation while the plant available stock soil nitrogen was determined using empirical relations. This book described acomprehensive methodology which is spatially explicit for modelling soil nitrogen balance and is very useful to professionals working in agricultural land management and especially to those who developed models for soil nitrogen

About the Author

Andualem Aklilu,MSc:Studied Remote Sensing and GIS at Addis ababa University. BSc in Land Resources Management and Environmental Protection. Senior Geospatial Database Analyst at MUDC, Addis ababa, Ethiopia