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

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 hig...

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Main Authors: Jusoff, Kamaruzaman, Yusoff, Mohd Kamil, Sulaiman, Wan Nor Azmin
Format: Conference or Workshop Item
Language:English
Published: 1995
Online Access:http://psasir.upm.edu.my/id/eprint/19221/1/ID%2019221.pdf
http://psasir.upm.edu.my/id/eprint/19221/
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spelling my.upm.eprints.192212015-01-08T13:14:16Z http://psasir.upm.edu.my/id/eprint/19221/ Remote sensing supported analysis of soil salinity in Langkawi Island, Malaysia Jusoff, Kamaruzaman Yusoff, Mohd Kamil Sulaiman, Wan Nor Azmin 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. 1995-09 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/19221/1/ID%2019221.pdf 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).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description 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.
format Conference or Workshop Item
author Jusoff, Kamaruzaman
Yusoff, Mohd Kamil
Sulaiman, Wan Nor Azmin
spellingShingle Jusoff, Kamaruzaman
Yusoff, Mohd Kamil
Sulaiman, Wan Nor Azmin
Remote sensing supported analysis of soil salinity in Langkawi Island, Malaysia
author_facet Jusoff, Kamaruzaman
Yusoff, Mohd Kamil
Sulaiman, Wan Nor Azmin
author_sort Jusoff, Kamaruzaman
title Remote sensing supported analysis of soil salinity in Langkawi Island, Malaysia
title_short Remote sensing supported analysis of soil salinity in Langkawi Island, Malaysia
title_full Remote sensing supported analysis of soil salinity in Langkawi Island, Malaysia
title_fullStr Remote sensing supported analysis of soil salinity in Langkawi Island, Malaysia
title_full_unstemmed Remote sensing supported analysis of soil salinity in Langkawi Island, Malaysia
title_sort remote sensing supported analysis of soil salinity in langkawi island, malaysia
publishDate 1995
url http://psasir.upm.edu.my/id/eprint/19221/1/ID%2019221.pdf
http://psasir.upm.edu.my/id/eprint/19221/
_version_ 1643826972597420032
score 13.211869

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