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Full Length
Research Paper
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Mapping soil drainage
classes of Amik Plain using Landsat images
Şeref Kiliç
Department of Soil Science, Faculty of Agriculture, Mustafa
Kemal University, Antakya-Hatay, 31034, Turkey. E-mail:
skilic@mku.edu.tr or
skilic69@yahoo.com. Tel: +90-326-245-5845. Fax:
+90-326-245-5832.
Accepted 3 August, 2009 |
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Abstract |
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Soil
drainage is one of the important soil properties affecting plant
growth, water transfer and solute transport in soils.
Soil drainage is also an environmental
component affecting irrigation and soil reclamation, land
capability for agriculture, flood control systems, engineering,
health and infectious diseases. The objective of this
study was to map soil drainage classes by using Landsat image in
Amik Plain (Hatay, Turkey). Terrain and vegetation are
characterized by digital terrain attributes, and vegetation
indices using a LANDSAT-7 Enhanced Thematic Mapper Image. The
study benefits from five data sources: Landsat ETM image,
topographic maps, soil maps, State Hydraulic Works (DSI) land
cover records and ground data from field surveys. Image
classification was carried out using Maximum Likelihood (ML)
Classification with supervised training.
Soil drainage classes were determined, thus finalizing the
process of mapping after each mapping unit and drainage class
prepared as a result of the ML classification were
validated on site. According to the drainage map prepared using
satellite image and ground data, 51,4% (37,234 ha) of Amik Plain
are well drained and moderately well
drained. 48,6% (35,192 ha) of Amik Plain are somewhat
poorly drained, poorly drained, and very poorly drained.
Key words:
Soil drainage, remote sensing, Landsat images. |