Spatial Discrimination and Mapping of Soil Salinity Using Remote and Gis Techniques in the Middle Awash Basin

dc.contributor.authorKedir, Mekamu
dc.date.accessioned2018-07-09T06:31:57Z
dc.date.accessioned2023-11-09T14:09:35Z
dc.date.available2018-07-09T06:31:57Z
dc.date.available2023-11-09T14:09:35Z
dc.date.issued2007-07
dc.description.abstractThis research deals with the identification and mapping of salt affected soils in Middle Awash. The analysis was made based on remote sensing data of Landsat ETM+ image, Electrical conductivity (EC) of soil sample taken in the same year when the image was captured and some other ancillary data. Remote sensing techniques employed were visual interpretation, digital image processing and indices like Normalized Difference Salinity Index (NDSI) and Normalized Difference Vegetation Index (NDVI). An attempt has been made to identify salt affected area by visual interpretation using both TCC and FCC. From the unsupervised and supervised classification1930ha and 887.3ha areas have been mapped as highly saline. The result obtained from unsupervised classification is larger in area extent. However the result obtained from NDSI was not only in area wise but also the level of salinity as highly saline, moderately and slightly saline, determined based on the reflectance value. Out of the total area 10% are mapped as highly saline. Attempt has been made to indirectly identify salt affected area using NDVI and the result showed similar area distribution of salt affected area. A regression analysis between EC values of small areas confined only in Melka Sadi area and the corresponding reflectance value in the NDSI image offer a polynomial relation of order two. The model obtained used to derive a salinity map and 16 and 0.9 dS/m of maximum and minimum EC level respectively was estimated. The spatial distribution of salt affected area derived from NDSI and model has shown similar pattern but different area extent. Overlay analysis of salt affected area and soil, canal, drainage and water table has been made to assess the spatial distribution as well as the relationship with this features and the result revealed the spatial distribution not highly influenced by the features being considered. Key word: NDSI, EC, Soil salinityen_US
dc.identifier.urihttp://10.90.10.223:4000/handle/123456789/7153
dc.language.isoenen_US
dc.publisherAddis Ababa Universtyen_US
dc.subjectNDSIen_US
dc.subjectECen_US
dc.subjectSoil salinityen_US
dc.titleSpatial Discrimination and Mapping of Soil Salinity Using Remote and Gis Techniques in the Middle Awash Basinen_US
dc.typeThesisen_US

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