Using Remote Sensing Techniques for Appraisal of Irrigated Soil Salinity

Akhtar Abbas, Shahbaz Khan

Research output: Book chapter/Published conference paperConference paperpeer-review

156 Citations (Scopus)
1732 Downloads (Pure)


Waterlogging and salinization are the twin evils of the irrigated agriculture in arid and semi-arid areas, which reduce the productivity of agricultural lands adversely. Managing salinity so as to minimize its environmental impact is a prerequisite for the long-term sustainability of irrigated agriculture. It necessitates establishing fast monitoring systems that facilitate taking actions. Remote sensing appears to offer several advantages over the conventional ground methods used to map and monitor soil salinity. This paper describes an integrated approach to assess soil salinity using remotely sensed data. This encompasses spatial analysis of ground truth and satellite data. The study area is located in the District of Faisalabad in Pakistan. The ground truth data of soil salinity from selected sampling points is tied to the corresponding pixels from the satellite image bands. Remotely sensed data based salinity indices (band combinations) and principal components using principal component analysis (PCA) are developed to find out the occurrence pattern of the salinization. Using satellite data, the principal component analysis (PCA) and the salinity indices are found to be promising techniques for assessment of saline soils. In the scenario of water scarcity (restricted irrigation supplies in supply channels) due to persistent drought, the reuse of poor quality ground water for irrigation and the failure of tile drainage system in the area are likely to disturb the water ecosystem resulting in increased risks of further environmental land degradation.
Original languageEnglish
Title of host publicationAdvances and Applications for Management and Decision Making Land, Water and Environmental Management
Subtitle of host publicationIntegrated Systems for Sustainability MODSIM07
EditorsLes Oxley, Don Kulasiri
Place of PublicationChristchurch, New Zealand
PublisherModelling and Simulation Society of Australia and New Zealand
Number of pages7
ISBN (Electronic)9780975840047
Publication statusPublished - 2007
EventInternational Congress on Modelling and Simulation (MODSIM) - Christchurch, New Zealand
Duration: 10 Dec 200713 Dec 2007


ConferenceInternational Congress on Modelling and Simulation (MODSIM)
Country/TerritoryNew Zealand


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