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.
|Title of host publication||Advances and Applications for Management and Decision Making Land, Water and Environmental Management|
|Subtitle of host publication||Integrated Systems for Sustainability MODSIM07|
|Editors||Les Oxley, Don Kulasiri|
|Place of Publication||Christchurch, New Zealand|
|Publisher||Modelling and Simulation Society of Australia and New Zealand|
|Number of pages||7|
|Publication status||Published - 2007|
|Event||International Congress on Modelling and Simulation (MODSIM) - Christchurch, New Zealand|
Duration: 10 Dec 2007 → 13 Dec 2007
|Conference||International Congress on Modelling and Simulation (MODSIM)|
|Period||10/12/07 → 13/12/07|
Abbas, A., & Khan, S. (2007). Using Remote Sensing Techniques for Appraisal of Irrigated Soil Salinity. In L. Oxley, & D. Kulasiri (Eds.), Advances and Applications for Management and Decision Making Land, Water and Environmental Management: Integrated Systems for Sustainability MODSIM07 (pp. 2632-2638). Modelling and Simulation Society of Australia and New Zealand.