Soil Salinity Evaluation using ASTER data in Golestan Province, West Region of Caspian Sea,Iran.

Abstract submitted to "4th EARSeL Workshop on Remote Sensing of the Coastal Zone"
Soil Salinity Evaluation using ASTER data in Golestan Province, West Region of Caspian Sea,Iran.
Maryam Shirani
Student
Iran, Islamic Republic of
Abbas Pashaei
Professor
Iran, Islamic Republic of
Fatemeh Molla mehr alizadeh
researcher in Iranian Space Agency
Iran, Islamic Republic of
Mehdi Shekarbeigi
expert
Iran, Islamic Republic of
Keywords: Soil Salinity, ASTER image, Coastal Zone, Classification, Ratio images,
Presentation preference: poster

Accurate estimation of soil salinity in a regional scale is very important for agricultural water management, drought monitoring, and risk desertification assessment. This is more important and essential in the coastal area, where soil salinity increase is becoming the biggest barrier to sustainable development. So, right monitoring the soil salinity status is necessary for making land-use plan and management. This study attempts to develop a method for estimating soil salinity status at regional scale through assimilating satellite remote sensing data.
Remote sensing has been shown to be a particularly valuable tool for obtaining relevant data on soil salinity in the coastal area. In this study, ASTER images have been georefrenced in ER Mapper 6.4. Then image processing methods carried out on images; then, in order to determine of training classes, were collected soil samples and located by a GPS in field. In this research, using supervised classification on ASTER and soil sampling was produced soil salinity map of the area in ERDAS Imagine 8.7. Also, ratio color composite images of ASTER data are performed for detection of saline soil several units. So, four salinity classes were detected in the area.
Finally, the results have been loaded in Arc View 3.2a in order to salinity evaluation in the area. Produced soil salinity map can be used for many environmental plans and shows reasonable adaptation by real world.

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