Simple Search:

Remote sensing supported analysis of soil salinity in Langkawi Island, Malaysia


Citation

Jusoff, Kamaruzaman and Yusoff, Mohd Kamil and Sulaiman, Wan Nor Azmin (1995) Remote sensing supported analysis of soil salinity in Langkawi Island, Malaysia. In: Third Thematic Conference : Remote sensing for Marine and Coastal Environments Technology and Applications, 18-20 Sep. 1995, Seattle, Washington, USA. (pp. 710-719).

Abstract / Synopsis

Salt affected soils have received the attention of scientist and development workers throughout the world. In Malaysia, agriculture is of prime importance for the livelihood of the population. However, degradation of soils though salinity has been a major agricultural problem in some states. The high evaporation rate in combination with high water table causes salinity development in the northern part of Malaysia. Digital image processing techniques supported by visual interpretation and in-situ ground measurements as field checks were used to delineate and evaluate both qualitatively and quantitatively the salinity pattern at Langkawi Island, Kedah. This study attempted to classify the whole Langkawi Island according to various salinity levels based on surface soil resistivity survey using a grid approach of 13km2 interval. The resistivity was measured within the soil root zone of 0-15cm2. An empirical acquired ground measurement through multiple regression analysis was applied. The results showed that the correlation of Landsat TM data with actual salinity levels is high. The resulting regression model was used as a basis for generating digital cartographic product to depict salinity pattern over the entire island for optimum agricultural development zoning.


Download File

[img] PDF
ID 19221.pdf
Restricted to Repository staff only

Download (880kB)

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Subject: Soils, Salts in - Langkawi Island - Malaysia.
Subject: Soils — Analysis.
Divisions: Faculty of Science and Environmental Studies
Depositing User: Erni Suraya Abdul Aziz
Date Deposited: 26 Apr 2013 12:28
Last Modified: 08 Jan 2015 21:14
URI: http://psasir.upm.edu.my/id/eprint/19221
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item