A model to simulate and predict soil salinity and waterlogging. (Elaborated for the Nile delta fringes, Egypt)

Author

Goossens, Rudi ; De Dapper, Morgan ; De Vliegher, Beata M.

Author_Institution

Dept. of Geogr., Ghent Univ., Belgium

Volume

2

fYear

1994

fDate

8-12 Aug. 1994

Firstpage

773

Abstract

This study is dealing with a model to monitor and to predict soil salinity by means of remote sensing and GIS. Field work as well as a literature review (Halverson, A.D. and Rhoades, J.D., 1974, Rhoades, J.D. 1975, Kovda, V. 1975) showed that there is a close relation between soil salinity and the soil drainage conditions. It can be stated in a general way that the worse the drainage conditions the higher the electrical conductivity of the soil will be. The problem of soil salinity is connected with the waterlogging. A test zone was selected between the edges of the Nile Delta and the Suez canal.

Keywords

agriculture; geophysical techniques; hydrology; pollution measurement; remote sensing; soil; terrestrial electricity; Africa; Egypt; GIS geographic information system; Nile delta fringe; agricultural land; electrical conductivity; geolelectric; hydrology; land degradation; measurement technique; model; optical imaging mapping; remote sensing; salinisation; salinity increase; soil; soil salinity prediction; terrain mapping; waterlogging; Conductivity; Geographic Information Systems; Image classification; Irrigation; Layout; Predictive models; Remote monitoring; Remote sensing; Roads; Satellites; Soil; Surfaces; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International

Print_ISBN

0-7803-1497-2

Type

conf

DOI

10.1109/IGARSS.1994.399257

Filename

399257