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Georeferencing is a mandatory issue at many applications where the satellite images are used. Georeferencing is based on a transformation between images and objects coordinate systems, and parametric, semi parametric and non-parametric mathematical models are preferred for this issue. A semi-parametric model, i.e. sensor-based RFM (Rational Functional Model) suggested by the OGC (Open Geospatial Consortium) is subjected in this paper. Some theoretical background about the general equation, the estimation of coefficients, the distortions carried and their removing, the simplification of RFMs thanks to the special characteristics of coefficients and also the various adjustment models will be presented at first. Then, the georeferencing accuracies of a mono IKONOS panchromatic image covering Zonguldak test field having an undulating and mountainous topography will be presented using 22 GCPs via a computation package called GeoFigcon derived in Matlab environment by the author. If a bias compensation is applied, the accuracies are when 1st degree RFM is preferred.

GPS and satellite images are used for determining displacements resulting from natural disasters such as earthquake and landslide. Satellite images, which are fast, effective and economic tools for revealing surface deformations and mass movements in such regions have commonly been used. A method was developed for determining horizontal displacements and mass movements resulting from large earthquakes, glacier flow, landslides, and sand dune migrations. This method, which is named as Co-Registration of Optically Sensed Images and Correlation (COSI-Corr), makes it possible to measure horizontal ground deformation from optical images in earthquake, glacier, landslide, and sand dune regions. In particular, its sub-pixel capabilities allow for accurate mapping of surface ruptures and measurement of co-seismic offsets. Although it has been commonly applied to earthquake, sand dune and glacier regions today, it has not been used sufficiently in landslide regions. Landslides, which have frequently been encountered in the world, cause loss of live and asset. It is highly important to reveal displacements and mass movements resulting from landslides. This study focuses on studies performed for landslide by COSI-Corr method and obtained results in the study area selected on the North Anatolian Fault Zone.

Georeferencing is a mandatory issue at many applications where the satellite images are used. Georeferencing is based on a transformation between images and objects coordinate systems, and parametric, semi parametric and non-parametric mathematical models are preferred for this issue. A semi-parametric model, i.e. sensor-based RFM (Rational Functional Model) suggested by the OGC (Open Geospatial Consortium) is subjected in this paper. Some theoretical background about the general equation, the estimation of coefficients, the distortions carried and their removing, the simplification of RFMs thanks to the special characteristics of coefficients and also the various adjustment models will be presented at first. Then, the georeferencing accuracies of a mono IKONOS panchromatic image covering Zonguldak test field having an undulating and mountainous topography will be presented using 22 GCPs via a computation package called GeoFigcon derived in Matlab environment by the author. If a bias compensation is applied, the accuracies are mx = ±0.4 pixel, my = ±0.5 pixel when 1st degree RFM is preferred. [ABSTRACT FROM AUTHOR]

GPS and satellite images are used for determining displacements resulting from natural disasters such as earthquake and landslide. Satellite images, which are fast, effective and economic tools for revealing surface deformations and mass movements in such regions have commonly been used. A method was developed for determining horizontal displacements and mass movements resulting from large earthquakes, glacier flow, landslides, and sand dune migrations. This method, which is named as Co- Registration of Optically Sensed Images and Correlation (COSI-Corr), makes it possible to measure horizontal ground deformation from optical images in earthquake, glacier, landslide, and sand dune regions. In particular, its sub-pixel capabilities allow for accurate mapping of surface ruptures and measurement of co-seismic offsets. Although it has been commonly applied to earthquake, sand dune and glacier regions today, it has not been used sufficiently in landslide regions. Landslides, which have frequently been encountered in the world, cause loss of live and asset. It is highly important to reveal displacements and mass movements resulting from landslides. This study focuses on studies performed for landslide by COSI-Corr method and obtained results in the study area selected on the North Anatolian Fault Zone. [ABSTRACT FROM AUTHOR]